{"id":9177,"date":"2025-03-30T05:28:17","date_gmt":"2025-03-29T21:28:17","guid":{"rendered":"https:\/\/www.andrewsun.net\/panta_rhei\/?p=9177"},"modified":"2025-03-30T05:28:17","modified_gmt":"2025-03-29T21:28:17","slug":"%e5%9c%a8%e7%94%b5%e5%ad%90%e8%ae%a1%e7%ae%97%e6%9c%ba%e4%b9%8b%e5%89%8d%e7%9a%84fourier%e5%88%86%e6%9e%90","status":"publish","type":"post","link":"https:\/\/www.andrewsun.net\/panta_rhei\/archives\/9177","title":{"rendered":"\u5728\u7535\u5b50\u8ba1\u7b97\u673a\u4e4b\u524d\u7684Fourier\u5206\u6790"},"content":{"rendered":"
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[latexpage]<\/p>\n\n\n\n

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\\[f\\left(x\\right)=\\sum_{n=-\\infty}^\\infty c_n e^{\\mathrm{i}2\\pi n x\/P}\\]
\u5176\u4e2d
\\[c_n=\\frac{1}{P}\\int_0^P f\\left(x\\right)e^{-\\mathrm{i} 2\\pi n x\/P}\\mathrm{d}x\\]<\/p>\n\n\n\n

\u5728\u4eca\u5929\uff0c\u6211\u4eec\u7684\u5b9e\u9a8c\u4fe1\u53f7\u57fa\u672c\u90fd\u5df2\u7ecf\u6570\u5b57\u5316\uff0c\u5728\u7535\u5b50\u8ba1\u7b97\u673a\u4e2d\u4e00\u79d2\u949f\u4e0d\u5230\u5c31\u505a\u5b8c\u4e86\u4e00\u4e2a\u5feb\u901fFourier\u53d8\u6362\u8ba1\u7b97\u3002\u4f46\u662f\u5728\u4e0a\u4e16\u7eaa50~60\u5e74\u4ee3\uff0c\u7535\u5b50\u8ba1\u7b97\u673a\u8fd8\u6ca1\u53d1\u660e\u4e4b\u524d\uff0c\u5b9e\u9a8c\u7ed3\u679c\u672c\u8eab\u5c31\u53ef\u80fd\u662f\u901a\u8fc7X-Y\u8bb0\u5f55\u4eea\u6216\u53cc\u7b14\u8bb0\u5f55\u4eea\u753b\u5728\u5750\u6807\u7eb8\u4e0a\u7684\u3002\u5f53\u65f6\u7684\u4eba\u662f\u600e\u6837\u5bf9\u8fd9\u4e48\u4e00\u6bb5\u58a8\u8ff9\u8fdb\u884cFourier\u7ea7\u6570\u5206\u6790\u7684\u5462\uff1f\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0cFourier\u7ea7\u6570\u7684\u5404\u4e2a\u7cfb\u6570$c_n$\u662f\u4e00\u4e2a\u79ef\u5206\u3002\u5728\u90a3\u4e2a\u5e74\u4ee3\uff0c\u79ef\u5206\u53ef\u4ee5\u4f7f\u7528\u6b27\u62c9\u6cd5\u6570\u503c\u6c42\u89e3\u3002\u5728\u6b64\u4e4b\u524d\uff0c\u9700\u8981\u5c06\u88ab\u79ef\u51fd\u6570\u8fdb\u884c\u4eba\u5de5\u91c7\u6837\uff08sampling\uff09\u79bb\u6563\u5316\u3002\u56e0\u6b64\u8fd9\u662f\u4e00\u4e2a\u5f88\u7e41\u7410\u7684\u4efb\u52a1\u3002<\/p>\n\n\n\n

\u5c0f\u91ce\u6728\u91cd\u6cbb\uff08Shigeharu Onogi\uff09\u53ef\u80fd\u662f\u65e5\u672c\u6700\u65e9\u5bf9\u975e\u7ebf\u6027\u7c98\u5f39\u6027\u6d41\u4f53\u7684\u6b63\u5f26\u632f\u8361\u6d4b\u8bd5\u7ed3\u679c\u4f5c\u8c10\u6ce2\u5206\u6790\u7684\u7814\u7a76\u8005\u3002\u4ed6\u5f53\u65f6\u4f30\u8ba1\u5c31\u662f\u8fd9\u4e48\u505a\u7684[1]<\/a><\/span>[2]<\/a><\/span>\u3002<\/p>\n\n\n\n

\u5728\u7f8e\u56fd\uff0cW. Philippoff\u5f88\u65e9\u5c31\u5f00\u53d1\u5bbd\u9891\u8303\u56f4\u7684\u52a8\u6001\u6d4b\u8bd5\u4eea\u5668\u3002\u4ed6\u57281966\u5e74\u53d1\u8868\u7684\u6587\u7ae0[3]<\/a><\/span>\u4e2d\uff0c\u7528\u4e00\u4e2a\u7279\u522b\u6784\u5efa\u7684\u53ef\u8c03\u8282\u6a21\u62df\u8ba1\u7b97\u5668\uff0c\u53bb\u540c\u65f6\u751f\u6210\u4e00\u4e2a\u57fa\u9891\u548c3\u500d\u9891\u7684\u6b63\u5f26\u4fe1\u53f7\uff0c\u7136\u540e\u4f5c\u52a0\u548c\u3002\u4ed6\u901a\u8fc7\u8c03\u8282\u8fd9\u4e2a\u6a21\u62df\u8ba1\u7b97\u5668\uff0c\u51d1\u51fa\u4e0e\u5b9e\u9a8c\u7ed3\u679c\u5f62\u72b6\u76f8\u4f3c\u7684Lissajous\u66f2\u7ebf\uff0c\u4ece\u800c\u5f97\u77e5\u8be5\u66f2\u7ebf\u76843\u500d\u9891\u8c10\u6ce2\u5e45\u503c\u548c\u76f8\u4f4d\u3002<\/p>\n\n\n\n

1960\u5e74\u4ee3\uff0c\u6070\u597d\u662f\u6a21\u62df\u6280\u672f\u7684\u98a0\u5cf0\u65f6\u671f\u3002\u6a21\u62df\u8ba1\u7b97\u7535\u8def\u80fd\u80fd\u505a\u5f88\u591a\u4e8b\u60c5\u3002\u7531\u6d41\u53d8\u4eea\u5f97\u51fa\u7684\u6ce2\u5f62\u4fe1\u53f7\uff0c\u53ef\u901a\u8fc7\u76f8\u5173\u5668\u4e0e\u7ed9\u5b9a\u7684\u6ce2\u5f62\u6bd4\u8f83\uff0c\u8f93\u51fa\u7684\u7ed3\u679c\u662f\u4e0e\u7ed9\u5b9a\u6ce2\u5f62\u7684\u5185\u79ef\u3002\u8fd9\u6837\u5c31\u53ef\u4ee5\u901a\u8fc7\u8bbe\u5b9a\u53c2\u8003\u6ce2\u5f62\u4fe1\u53f7\uff0c\u4ece\u539f\u59cb\u4fe1\u53f7\u4e2d\u63d0\u53d6\u76f8\u5e94\u7684\u5206\u91cf\uff0c\u4ece\u800c\u5b9e\u73b0\u8c10\u6ce2\u5206\u6790\u3002\u4f8b\u5982\uff0cQueen’s Collage\u673a\u68b0\u5de5\u7a0b\u7cfb\u7684Harris\u548cBogie[4]<\/a><\/span>[5]<\/a><\/span>\u3002<\/p>\n\n\n\n

1967\u5e74\uff0cBrenner\u7684\u6797\u80af\u5b9e\u9a8c\u5ba4\u62a5\u544a<\/a>\u7ed9\u51fa\u4e86Cooley\u548cTukey\u7684\u5feb\u901fFourier\u53d8\u6362\u7684Fortran\u7a0b\u5e8f\u3002\u51ef\u65af\u897f\u50a8\u5927\u5b66\u5316\u5b66\u7cfb\u7684Dodge\u548cKrieger\u57281971\u5e74\u5c31\u7528\u4e0a\u8fd9\u4e2a\u65b9\u6cd5\u6765\u8fdb\u884c\u8c10\u6ce2\u5206\u6790\u4e86[6]<\/a><\/span>\uff0c\u6b63\u5f0f\u8fdb\u5165\u4e86\u6570\u5b57\u65f6\u4ee3\u3002<\/p>\n

References<\/h2>\n
    \n
  1. <\/a>\nS. Onogi, T. Masuda, and T. Matsumoto, \"Non-Linear Behavior of Viscoelastic Materials. I. Disperse Systems of Polystyrene Solution and Carbon Black\", Transactions of the Society of Rheology<\/i>, vol. 14, pp. 275-294, 1970. http:\/\/dx.doi.org\/10.1122\/1.549190<\/a>\n\n\n<\/li>\n
  2. <\/a>\nT. Matsumoto, Y. Segawa, Y. Warashina, and S. Onogi, \"Nonlinear Behavior of Viscoelastic Materials. II. The Method of Analysis and Temperature Dependence of Nonlinear Viscoelastic Functions\", Transactions of the Society of Rheology<\/i>, vol. 17, pp. 47-62, 1973. http:\/\/dx.doi.org\/10.1122\/1.549319<\/a>\n\n\n<\/li>\n
  3. <\/a>\nW. Philippoff, \"Vibrational Measurements with Large Amplitudes\", Transactions of the Society of Rheology<\/i>, vol. 10, pp. 317-334, 1966. http:\/\/dx.doi.org\/10.1122\/1.549049<\/a>\n\n\n<\/li>\n
  4. <\/a>\nJ. Harris, and K. Bogie, \"The experimental analysis of non-linear waves in mechanical systems\", Rheologica Acta<\/i>, vol. 6, pp. 3-5, 1967. http:\/\/dx.doi.org\/10.1007\/BF01968375<\/a>\n\n\n<\/li>\n
  5. <\/a>\nO.E. Ibrahim, \"A low-frequency high-speed correlator\", Rheologica Acta<\/i>, vol. 8, pp. 214-220, 1969. http:\/\/dx.doi.org\/10.1007\/BF01984661<\/a>\n\n\n<\/li>\n
  6. <\/a>\nJ.S. Dodge, and I.M. Krieger, \"Oscillatory Shear of Nonlinear Fluids I. Preliminary Investigation\", Transactions of the Society of Rheology<\/i>, vol. 15, pp. 589-601, 1971. http:\/\/dx.doi.org\/10.1122\/1.549236<\/a>\n\n\n<\/li>\n<\/ol>\n\n<\/div> ","protected":false},"excerpt":{"rendered":"

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\u4e0a\u4e00\u7bc7\u4ecb\u7ecd\u4e86\u7528Fourier\u53d8\u6362\u6765\u91cd\u6784\u4e00\u4e2a\u672a\u77e5\u6b63\u5f26\u4fe1\u53f7\u7684\u65b9\u6cd5\u3002\u672c\u7bc7\u4ecb\u7ecd\u5bf9\u4e8e\u672a\u77e5\u975e\u6b63\u5f26\u4fe1\u53f7\u7684\u60c5\u51b5\u3002 \u5927\u5e45\u632f\u8361\u526a\u5207\u7684\u53c2\u6570 \u5927\u5e45\u632f\u8361\u526a\u5207\u5b9e\u9a8c\u4ea7\u751f\u7684\u6ce2\u5f62\u662f\u975e\u6b63\u5f26\u4fe1\u53f7\uff0c\u975e\u6b63\u5f26\u662f\u975e\u7ebf\u6027\u7c98\u5f39\u6027\u7684\u7279\u70b9\u3002\u6240\u4ee5\u5bf9\u975e\u7ebf\u6027\u7c98\u5f39\u6027\u7a0b\u5ea6\u7684\u8868\u5f81\uff0c\u5c31\u662f\u5bf9\u6ce2\u5f62\u6b63\u5f26\u5f62\u72b6\u504f\u79bb\u7a0b\u5ea6\u7684\u8868\u5f81\u3002\u5173\u4e8e\u5927\u5e45\u632f\u8361\u526a\u5207\u548c\u975e\u7ebf\u6027\u7c98\u5f39\u6027\u7684\u539f\u7406\u4e0e\u5b9e\u8df5\uff0c\u53ef\u89c1Hyhn\u7b49\u7684\u7efc\u8ff0\uff0c\u6216\u8005\u53c2\u9605\u6211\u7684\u535a\u58eb\u5b66\u4f4d\u8bba\u6587\u7b2c1.2.1\u8282\u3001\u7b2c1.3\u8282\u548c\u7b2c2\u7ae0\u3002\u672c\u6587\u53ea\u89e3\u51b3MATLAB\u7f16\u7a0b\u5b9e\u73b0\u95ee\u9898\u3002 \u5927\u5e45\u632f\u8361\u526a\u5207\uff08LAOS\uff09\u5b9e\u9a8c\u4e2d\uff0c\u6211\u4eec\u4ece\u6d41\u53d8\u4eea\u540c\u65f6\u83b7\u53d6\u4e24\u4e2a\u4fe1\u53f7\u3002\u4e00\u4e2a\u662f\u5e94\u53d8\u7684\u4fe1\u53f7\uff0c\u4e00\u4e2a\u662f\u5e94\u529b\u7684\u4fe1\u53f7\uff08\u4e8b\u5b9e\u4e0a\uff0c\u4e00\u4e2a\u662f\u9a6c\u8fbe\u4f4d\u79fb\u4fe1\u53f7\uff0c\u53e6\u4e00\u4e2a\u662f\u529b\u77e9\u4fe1\u53f7\uff0c\u5b83\u4eec\u90fd\u8981\u4e58\u4ee5\u4e00\u4e2a\u7cfb\u6570\uff0c\u624d\u662f\u5e94\u53d8\u548c\u5e94\u529b\u3002\u6b64\u6587\u5148\u7565\u53bb\u8fd9\u4e00\u4e8b\u5b9e\u4e86\uff09\u3002\u5728\u5e94\u53d8\u63a7\u5236\u7684\u5b9e\u9a8c\u4e2d\uff0c\u6211\u4eec\u65bd\u52a0\u4e00\u4e2a\u6b63\u5f26\u7684\u5e94\u53d8\uff0c\u6d4b\u91cf\u5e94\u529b\u7684\u54cd\u5e94\uff0c\u5373 $$\\begin{cases}\\gamma\\left(t\\right)=\\sin\\omega t\\\\ \\sigma\\left(t\\right)=\\sum_{n=0:\\text{odd}}^\\infty\\sigma_n\\sin\\left(\\omega t+\\delta_n\\right)\\end{cases}$$\u7531\u6b64\u5f0f\u53ef\u5b9a\u4e49LAOS\u5b9e\u9a8c\u7ed3\u679c\u7684\u8868\u5f81\u53c2\u6570\uff0c\u4ee5\u53ca\uff0c\u6765\u8868\u5f81\u975e\u7ebf\u6027\u7c98\u5f39\u6027\u7684\u7a0b\u5ea6\uff08\u5373\u504f\u79bb\u6b63\u5f26\u51fd\u6570\u7684\u7a0b\u5ea6\u3002\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u4f1a\u4ee5\u5bf9\u4f5c\u56fe\uff08\u53c2\u6570\u65b9\u7a0b\u4f5c\u56fe\uff09\uff0c\u5f97\u5230Lissajous\u66f2\u7ebf\u3002\u7136\u540e\u7528\u66f2\u7ebf\u7684\u5f62\u72b6\u7279\u5f81\u6765\u8868\u5f81\u975e\u7ebf\u6027\u7c98\u5f39\u6027\u7684\u7a0b\u5ea6\uff08\u5373\u66f2\u7ebf\u504f\u79bb\u692d\u5706\u7684\u7a0b\u5ea6\uff09\u3002\u63cf\u8ff0\u66f2\u7ebf\u5f62\u72b6\u7279\u5f81\uff0c\u5f80\u5f80\u5c31\u662f\u5404\u79cd\u5404\u6837\u7684\u5207\u7ebf\u659c\u7387\uff08\u53ef\u81ea\u884c\u4e0a\u7f51\u641c\u7d22\u590d\u4e60\u53c2\u6570\u65b9\u7a0b\u6c42\u5bfc\uff09\u3002\u5728LAOS\u4e2d\u5e38\u7528\uff1a$$G_\\text{M}=\\left.\\frac{d\\sigma}{d\\gamma}\\right|_{\\gamma=0}$$$$G_\\text{L}=\\frac{\\sigma{\\gamma_0}}{\\gamma_0}$$$$G_\\text{k}=\\left.\\frac{d\\sigma}{d\\gamma}\\right|_{\\sigma=0}$$ MATLAB\u7f16\u7a0b\u6b65\u9aa4 \u5728\u8be6\u7ec6\u4ecb\u7ecdMATLAB\u4ee3\u7801\u4e4b\u524d\uff0c\u5148\u603b\u7ed3\u4e00\u4e0b\u6211\u4eec\u8981\u5b8c\u6210\u4ec0\u4e48\u4efb\u52a1\uff0c\u8ddf\u4ece\u54ea\u4e9b\u6b65\u9aa4\u3002\u6211\u4eec\u7684\u4efb\u52a1\u5c31\u662f\u8981\u4ece\u5e94\u529b\u548c\u5e94\u53d8\u7684\u4fe1\u53f7\u8ba1\u7b97\u51fa\u4e0a\u8ff0\u7684\u8fd9\u4e48\u591a\u53c2\u6570\u3002\u5b9e\u9a8c\u65f6\uff0c\u6211\u4eec\u4f1a\u89c4\u5b9a\u5e94\u53d8\u7684\u5e45\u5ea6\u548c\u9891\u7387\uff0c\u4f46\u662f\uff0c\u7531\u4e8e\u4eea\u5668\u8bef\u5dee\uff0c\u5b9e\u9645\u65bd\u52a0\u5728\u6837\u54c1\u4e0a\u7684\u5e94\u53d8\u5e45\u5ea6\u548c\u9891\u7387\uff0c\u672a\u5fc5\u5b8c\u5168\u7b49\u4e8e\u7684\u547d\u4ee4\u503c\u3002\u5c3d\u7ba1\u8fd9\u4e00\u8bef\u5dee\u975e\u5e38\u5c0f\uff0c\u4f46\u4ece\u505a\u6cd5\u4e0a\u6211\u4eec\u8fd8\u662f\u8981\u4ee5\u5b9e\u9645\u5e94\u53d8\u4fe1\u53f7\u4e3a\u51c6\u3002\u6240\u4ee5\uff0c\u6211\u4eec\u9996\u5148\u8981\u5bf9\u5b9e\u9645\u5e94\u53d8\u4fe1\u53f7\u8fdb\u884c\u5224\u65ad\uff0c\u83b7\u5f97\u5b9e\u9645\u7684\u5e94\u53d8\u5e45\u5ea6\u548c\u9891\u7387\u3002\u5982\u4f55\u5224\u65ad\u4e00\u4e2a\u672a\u77e5\u6b63\u5f26\u4fe1\u53f7\u7684\u632f\u5e45\u3001\u9891\u7387\u548c\u76f8\u4f4d\u7684\u65b9\u6cd5\u5df2\u7ecf\u5728\u4e0a\u4e00\u7bc7\u6587\u7ae0\u4e2d\u4ecb\u7ecd\u4e86\u3002 \u7136\u540e\uff0c\u5c31\u8981\u5904\u7406\u5e94\u529b\u7684\u4fe1\u53f7\u3002\u4e3a\u4e86\u83b7\u5f97\u548c\u540c\u6837\u9700\u8981\u5bf9\u8fdb\u884cfft\u5904\u7406\uff0c\u65b9\u6cd5\u8ddf\u4e0a\u4e00\u7bc7\u6587\u7ae0\u4ecb\u7ecd\u7684\u7c7b\u4f3c\uff0c\u533a\u522b\u53ea\u5728\u4e8e\u6211\u4eec\u9664\u4e86\u8981\u83b7\u5f97\u57fa\u9891\u7684\u5e45\u503c\u548c\u76f8\u4f4d\u4e4b\u5916\uff0c\u8fd8\u8981\u83b7\u5f97\u9ad8\u6b21\u8c10\u6ce2\u7684\u5e45\u503c\u548c\u76f8\u4f4d\u3002\u7406\u8bba\u4e0a\u6765\u8bf4\uff0c\u4f46\u662f\u5b9e\u9645\u4e0a\u6211\u4eec\u6839\u636e\u9700\u8981\u53d6\u6709\u9650\u7684n\u4e2a\u9ad8\u6b21\u8c10\u6ce2\uff0c\u5c31\u53ef\u4ee5\u6bd4\u8f83\u51c6\u786e\u5730\u91cd\u6784\u51fa\u7684\u6ce2\u5f62\u4e86\u3002\u63d0\u9192\u4e00\u4e0b\uff0c\u5b9a\u4e49\u5f0f\u91cc\u5e94\u53d8\u662f\u4e00\u4e2a\u96f6\u76f8\u4f4d\u7684\u6807\u51c6\u6b63\u5f26\u51fd\u6570\uff0c\u4f46\u5b9e\u9645\u91cd\u6784\u7684\u5e94\u53d8\u6ce2\u5f62\u53ef\u80fd\u4f1a\u6709\u975e\u96f6\u7684\u76f8\u4f4d\uff0c\u8fd9\u65f6\uff0c\u5e94\u529b\u7684\u5404\u4e2a\u8c10\u6ce2\u7684\u76f8\u4f4d\u8981\u90fd\u51cf\u53bb\u5e94\u53d8\u7684\u76f8\u4f4d\uff0c\u624d\u662f\u6211\u4eec\u8981\u6c42\u7684\u3002 Lissajous\u66f2\u7ebf\u7684\u5404\u79cd\u5bfc\u6570\uff0c\u8981\u540c\u65f6\u5728\u548c\u90fd\u91cd\u6784\u4e86\u4e4b\u540e\uff0c\u518d\u8fdb\u884c\u6c42\u5bfc\u8ba1\u7b97\u5f97\u5230\u3002\u603b\u800c\u8a00\u4e4b\uff0c\u8981\u5b8c\u6210\u4ee5\u4e0b\u4e09\u4e2a\u6b65\u9aa4\uff1a \u91cd\u6784\u5e94\u53d8\uff0c\u83b7\u5f97\u3001\u548c\u76f8\u4f4d \u91cd\u6784\uff0c\u83b7\u5f97\u548c\uff0c\u8ba1\u7b97 \u7528\u91cd\u6784\u7684\u548c\u4f5cLissajous\u66f2\u7ebf\uff0c\u4ee5\u53ca\u8ba1\u7b97\u3001\u548c \u91cd\u6784\u548c MATLAB\u5e2e\u52a9\u6587\u4ef6\u91ccfft\u547d\u4ee4\u7684\u6761\u76ee\u6709\u4e00\u4e2a\u8303\u4f8b\uff0c\u5e94\u8be5\u80fd\u89e3\u51b3\u5927\u90e8\u5206\u95ee\u9898\u4e86\u3002\u5176\u4e2d\u5728coherent sampling\uff08\u89c1\u4e0a\u7bc7\u6587\u7ae0\uff09\u5904\uff0c\u8303\u4f8b\u7528next power of 2\uff0c\u5176\u5b9e\u6ca1\u6709\u5fc5\u8981\u3002\u4e0b\u9762\u7684\u4ee3\u7801\uff0c\u6211\u5c31\u4e0d\u591a\u4f5c\u89e3\u91ca\u4e86\u3002 clear all clc % the strain signal fs=1000; % sampling frequency t=0:1\/fs:30.2; % the time series of the strain signal t=t(:); % convert to colume vector w=5; %\u2026","rel":"","context":"In "\u5de5\u4f5c\u7b14\u8bb0"","block_context":{"text":"\u5de5\u4f5c\u7b14\u8bb0","link":"https:\/\/www.andrewsun.net\/panta_rhei\/archives\/category\/personal\/%e5%b7%a5%e4%bd%9c%e7%ac%94%e8%ae%b0"},"img":{"alt_text":"Figure 1 Parts of the strain and the stress signals","src":"https:\/\/i0.wp.com\/www.andrewsun.net\/panta_rhei\/wp-content\/uploads\/2013\/04\/fig1.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.andrewsun.net\/panta_rhei\/wp-content\/uploads\/2013\/04\/fig1.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/www.andrewsun.net\/panta_rhei\/wp-content\/uploads\/2013\/04\/fig1.png?resize=525%2C300 1.5x"},"classes":[]},{"id":5244,"url":"https:\/\/www.andrewsun.net\/panta_rhei\/archives\/5244","url_meta":{"origin":9177,"position":1},"title":"Fourier\u53d8\u6362\uff08\u4e00\uff09","author":"Andrew","date":"2013\u5e744\u67088\u65e5","format":false,"excerpt":"[mathjax] \u4e3a\u4e86\u5e26\u5e08\u5f1f\u505a\u5b9e\u9a8c\uff0c\u7b80\u8981\u603b\u7ed3\u4e00\u4e0b\u5728MATLAB\u91cc\u8fdb\u884cFourier\u53d8\u6362\u7684\u4e00\u4e9b\u4ee3\u7801\uff0c\u4ee5\u4f9b\u5927\u5bb6\u53c2\u8003\u3002 Discrete Fourier transform (DFT): The sequence of N complex numbers x0, ..., xN-1 is transformed into an N-periodic sequence of complex numbers according to the DFT formula . \u4e00\u822c\u628a\u53d8\u6362\u524d\u7684\u4fe1\u53f7xn\u5f53\u6210\u65f6\u57df\u4fe1\u53f7\uff0c\u53d8\u6362\u540e\u7684Xk\u5f53\u6210\u9891\u57df\u4fe1\u53f7\u3002\u53ef\u89c1\uff0c\u65f6\u57df\u662fN\u4e2a\u5355\u5143\u7684\u4fe1\u53f7\uff0c\u53d8\u6362\u540e\u9891\u57df\u8fd8\u662fN\u4e2a\u5355\u5143\u7684\u4fe1\u53f7\u3002\u4ec0\u4e48\u5468\u671f\u554a\u9891\u7387\u554a\u8fd9\u4e9b\u4fe1\u606f\u662f\u6682\u65f6\u6ca1\u6709\u7684\u3002\u4f8b\u5982xn\u4e3a\u4ee5\u4e0b\u8fd9\u4e2a\u5e8f\u5217\uff08Fig. 1\uff09\uff0c\u6a2a\u5750\u6807\u5c31\u662f\u5e8f\u53f7n\u3002\u8fd9\u6bb5\u5e8f\u5217\uff0c\u53ef\u4ee5\u662f\u4e00\u6bb510\u79d2\u949f\u7684\u7684\u4fe1\u53f7\uff0c\u4e5f\u53ef\u4ee5\u662f\u4e00\u6bb5100\u79d2\u949f\u7684\u4fe1\u53f7\u3002\u5f53\u7136\uff0c\u5b9e\u9645\u60c5\u51b5\u4e0b\u4e00\u6bb5\u4fe1\u53f7\u662f\u591a\u5c11\u79d2\u662f\u4e8b\u5148\u77e5\u9053\u7684\uff0c\u51fa\u6765\u7684\u4fe1\u53f7\u4e00\u5171\u6709\u591a\u5c11\u4e2a\u5355\u5143\u503c\uff08N\uff09\u5219\u53d6\u51b3\u4e8e\u6211\u4eec\u9694\u591a\u957f\u65f6\u95f4\u53d6\u4e00\u6b21\u6837\u3002\u5982\u679c\u4e00\u6bb510\u79d2\u949f\u7684\u4fe1\u53f7\uff0c\u6211\u4eec\u6bcf\u79d2\u53d6\u4e00\u6b21\u6837\uff0c\u8fd9\u4e2a\u5e8f\u5217\u5c31\u670910\u4e2a\u5355\u5143\uff08N = 10\uff09\u3002\u53cd\u4e4b\uff0cFig. 1\u7684\u8fd9\u4e2a\u5e8f\u5217N = 93\uff0c\u5047\u5982\u8fd9\u4e2a\u4fe1\u53f7\u662f\u6bcf\u96940.1\u79d2\u53d6\u4e00\u6b21\u6837\u5f97\u5230\u7684\uff0c\u8fd9\u4e2a\u4fe1\u53f7\u7684\u603b\u65f6\u957f\u5c31\u662f9.2\u79d2\uff1b\u800c\u5047\u5982\u8fd9\u4e2a\u4fe1\u53f7\u662f\u6bcf\u969410\u79d2\u53d6\u4e00\u6b21\u6837\u5f97\u5230\u7684\uff0c\u8fd9\u4e2a\u4fe1\u53f7\u603b\u65f6\u957f\u5c31\u662f920\u79d2\u4e86\u3002\u6bcf\u9694\u591a\u957f\u65f6\u95f4\u53d6\u4e00\u6b21\u6837\uff0c\u53ef\u4ee5\u7528\u53d6\u6837\u9891\u7387fs\u6765\u8868\u793a\u3002fs = 10 Hz\u5c31\u662f\u6bcf\u96940.1 s\u53d6\u4e00\u6b21\u6837\u3002\u6240\u4ee5\uff0c\u4e3a\u4e86\u7ed9\u4e00\u5bf9\u79bb\u6563Fourier\u53d8\u6362xn\u548cXk\u8d4b\u4ee5\u5468\u671f\u6216\u9891\u7387\u7684\u4fe1\u606f\uff0c\u5fc5\u987b\u7ed9\u65f6\u57df\u4fe1\u53f7\u89c4\u5b9a\u4e00\u4e2afs\u3002\u4e00\u65e6fs\u89c4\u5b9a\u4e86\uff0c\u5468\u671f\u548c\u9891\u7387\u4e5f\u5c31\u89c4\u5b9a\u4e86\u3002\u8fd8\u62ffFig. 1\u7684\u5e8f\u5217\u4e3a\u4f8b\uff0c\u8bbe\u8be5\u5e8f\u5217\u7684\u53d6\u6837\u9891\u7387fs = 10 Hz\uff0c\u5219\u8be5\u5e8f\u5217\u6bcf\u4e2a\u5355\u5143\u9694\u4e860.1 s\u3002\u6211\u4eec\u53ef\u4ee5\u6570\u4e00\u4e0b\u8fd9\u4e2a\u5e8f\u5217\u4e00\u4e2a\u5468\u671f\u6709\u591a\u5c11\u4e2a\u5355\u5143\u2014\u201420\u4e2a\uff0c\u90a3\u4e48\u8be5\u5e8f\u5217\u7684\u5468\u671fT = 2 s\uff0c\u9891\u7387f =\u2026","rel":"","context":"In "\u5de5\u4f5c\u7b14\u8bb0"","block_context":{"text":"\u5de5\u4f5c\u7b14\u8bb0","link":"https:\/\/www.andrewsun.net\/panta_rhei\/archives\/category\/personal\/%e5%b7%a5%e4%bd%9c%e7%ac%94%e8%ae%b0"},"img":{"alt_text":"Figure 1","src":"https:\/\/i0.wp.com\/www.andrewsun.net\/panta_rhei\/wp-content\/uploads\/2013\/04\/f1.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.andrewsun.net\/panta_rhei\/wp-content\/uploads\/2013\/04\/f1.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/www.andrewsun.net\/panta_rhei\/wp-content\/uploads\/2013\/04\/f1.png?resize=525%2C300 1.5x, https:\/\/i0.wp.com\/www.andrewsun.net\/panta_rhei\/wp-content\/uploads\/2013\/04\/f1.png?resize=700%2C400 2x"},"classes":[]},{"id":5377,"url":"https:\/\/www.andrewsun.net\/panta_rhei\/archives\/5377","url_meta":{"origin":9177,"position":2},"title":"Fourier\u53d8\u6362\uff08\u4e09\uff09","author":"Andrew","date":"2013\u5e745\u67082\u65e5","format":false,"excerpt":"[mathjax] 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sweep\u662f\u56fa\u5b9a\u632f\u8361\u7684\u5e94\u53d8\u5e45\u5ea6\u03b30\u548c\u9891\u7387\u03c9\uff0c\u6d4b\u91cfG'\u548cG''\u968f\u65f6\u95f4\u53d8\u5316\u7684\u6d4b\u8bd5\uff0c\u6240\u4ee5\u6b63\u9002\u5408\u6211\u4eec\u3002\u5728Orchestrator\u8f6f\u4ef6\u4e2d\u8bbe\u5b9a\u597ddynamic time sweep\u7684\u5e94\u53d8\u548c\u9891\u7387\uff0c\u4eea\u5668\u5c31\u4f1a\u4ee5\u76f8\u5e94\u7684\u6b63\u5f26\u51fd\u6570\u53bb\u63a7\u5236\u9a6c\u8fbe\u4e86\u3002\u6b64\u65f6\uff0c\u6211\u4eec\u9700\u8981\u9a6c\u4e0a\u4ece\u4eea\u5668\u80cc\u540e\u7684\u6a21\u62df\u8f93\u51fa\u7aef\u53e3\u540c\u65f6\u8bfb\u51fa\u4eea\u5668\u7684\u6d4b\u91cf\u4fe1\u53f7\uff0c\u5e76\u7528\u4e00\u4e2a\u6570\u6a21\u8f6c\u6362\u5668\uff08analog-to-digital converter, ADC\uff09\u8f6c\u6362\u6210\u6570\u5b57\u4fe1\u53f7\uff0c\u8f93\u5165\u5230\u8ba1\u7b97\u673a\u3002\u6211\u4eec\u7528\u7684ADC\u662fNI USB-9215A\uff0c\u8981\u901a\u8fc7\u7535\u8111\u6765\u63a7\u5236\u5b83\u4f55\u65f6\u5f00\u59cb\u548c\u505c\u6b62\u91c7\u6837\uff0c\u4ee5\u53ca\u4ee5\u591a\u5927\u7684\u91c7\u6837\u9891\u7387\u8fdb\u884c\u91c7\u6837\u3002\u8bb8\u591a\u8f6f\u4ef6\u90fd\u53ef\u4ee5\u901a\u8fc7\u5b83\u7684\u9a71\u52a8\u7a0b\u5e8f\u63a5\u53e3\u6765\u5b9e\u65bd\u63a7\u5236\uff08MATLAB\u672c\u8eab\u5c31\u53ef\u4ee5\uff09\uff0c\u5728LAOS\u5b9e\u9a8c\u4e2d\u6211\u4eec\u7528\u4e00\u4e2aLabView\u5f00\u53d1\u7684\u5de5\u5177FT Meassurement\u6765\u91c7\u96c6\u6570\u636e\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u7528\u4e00\u53f0\u7535\u8111\uff0c\u7528\u4e24\u4e2a\u8f6f\u4ef6\u5206\u800c\u63a7\u5236\u4e0d\u540c\u7684\u8fc7\u7a0b\u3002Orchestrator\u63a7\u5236\u6d41\u53d8\u4eea\u7684\u8fd0\u4f5c\uff0c\u800cFT Meassurement\u63a7\u5236ADC\u3002\u8fd9\u4e00\u6d41\u7a0b\u56fe\u53ef\u53c2\u8003\u548c\u4e2d\u7684\u7528\u56fe\u3002\u5177\u4f53\u4fe1\u53f7\u7ebf\u63a5\u6cd5\u548c\u5904\u7406\u65b9\u5f0f\u89c1\u4e0b\u9762\u7684PPT\uff08\u53ef\u4e0b\u8f7d\uff09\u3002 ARES\u6a21\u62df\u8f93\u51fa View more presentations or Upload your own. \u4e0a\u7bc7\u6587\u7ae0\u4e5f\u8bf4\u8fc7\uff0c\u4ece\u6d41\u53d8\u4eea\u91c7\u96c6\u5230\u7684\u4e00\u4e2a\u662f\u9a6c\u8fbe\u4f4d\u79fb\u7684\u7535\u538b\u4fe1\u53f7\uff0c\u53e6\u4e00\u4e2a\u662f\u529b\u77e9\u7684\u7535\u538b\u4fe1\u53f7\uff0c\u5b83\u4eec\u90fd\u8981\u4e58\u4ee5\u4e00\u4e2a\u7cfb\u6570\uff0c\u624d\u662f\u5e94\u53d8\u548c\u5e94\u529b\u3002\u4eceARES\u6d41\u53d8\u4eea\u7684\u8bf4\u4e66\u4e2d\u53ef\u4ee5\u67e5\u5230\u80cc\u677f\u8f93\u51fa\u4fe1\u53f7\u7684\u5177\u4f53\u60c5\u51b5\uff1a TORQUE OUT\uff1a\u4ece0\u5230\u6ee1\u91cf\u7a0b\uff0c\u5bf9\u5e94\u7535\u538b\u662f0 ~ 5 V\u3002\u7531\u4e8e\u8f6c\u77e9\u53ef\u4ee5\u6709\u4e24\u4e2a\u65b9\u5411\uff0c\u6240\u4ee5\u603b\u7684\u7535\u538b\u8303\u56f4\u5c31\u662f-5 ~ +5 V STRAIN OUT\uff1a\u867d\u7136\u6807\u8bb0\u662fSTRAIN\uff0c\u4f46\u5176\u5b9e\u53ea\u662f\u9a6c\u8fbe\u8f6c\u52a8\u7684\u89d2\u4f4d\u79fb\u3002\u4ece0 ~ 0.5 rad\u5bf9\u5e94\u7535\u538b\u662f0~5V\uff0c\u8003\u8651\u4e24\u4e2a\u8f6c\u52a8\u65b9\u5411\uff0c\u603b\u7535\u538b\u8303\u56f4\u662f-5~+5 V TORQUE OUT\u7684\u201c\u6ee1\u91cf\u7a0b\u201d\u5230\u5e95\u662f\u591a\u5c11\u5462\uff1f\u7531\u4e8e\u6211\u4eec\u7684ARES\u6709\u4e24\u4e2a\u6863\u4f4d\u7684\u529b\u77e9\u4f20\u611f\u5668\u3002Xducer 1\u7684\u4f20\u611f\u5668\u53eb\u505a\u201c20g FRT\u201d\u300220g\u662f\u6307\u8be5\u6863\u4f4d\u7684\u6700\u5927\u91cf\u7a0b\u662f20 g\u00b7cm\uff0c\u529b\u77e9\u7684\u4e00\u4e2a\u975eSI\u5355\u4f4d\uff0cSI\u5355\u4f4d\u662fN\u00b7m\u30021 g\u00b7cm =\u2026","rel":"","context":"In "\u5de5\u4f5c\u7b14\u8bb0"","block_context":{"text":"\u5de5\u4f5c\u7b14\u8bb0","link":"https:\/\/www.andrewsun.net\/panta_rhei\/archives\/category\/personal\/%e5%b7%a5%e4%bd%9c%e7%ac%94%e8%ae%b0"},"img":{"alt_text":"Figure 1 Cone-plate geometry","src":"https:\/\/i0.wp.com\/www.andrewsun.net\/panta_rhei\/wp-content\/uploads\/2013\/05\/cap3.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.andrewsun.net\/panta_rhei\/wp-content\/uploads\/2013\/05\/cap3.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/www.andrewsun.net\/panta_rhei\/wp-content\/uploads\/2013\/05\/cap3.png?resize=525%2C300 1.5x"},"classes":[]},{"id":9108,"url":"https:\/\/www.andrewsun.net\/panta_rhei\/archives\/9108","url_meta":{"origin":9177,"position":3},"title":"Leon B. Lucy","author":"Andrew","date":"2024\u5e7412\u670814\u65e5","format":false,"excerpt":"[latexpage] \u80cc\u666f \u5728\u6570\u503c\u8ba1\u7b97\u9886\u57df\u6709\u4e00\u4e2a\u6bd4\u8f83\u77e5\u540d\u7684\u53bb\u5377\u79ef\u8fed\u4ee3\u7b97\u6cd5\u2014\u2014Lucy--Richardson\u7b97\u6cd5\uff0c\u5b83\u88ab\u540e\u4e16\u96c6\u4e2d\u7528\u4e8e\u56fe\u50cf\u53bb\u566a\u3002\u4f8b\u5982\uff0cMATLAB\u7684Image Processing Toolbox\u6709\u4e00\u4e2adeconvlucy\u547d\u4ee4\uff0c\u58f0\u79f0\u5c31\u662f\u7528Lucy--Richardson\u7b97\u6cd5\u5bf9\u7ed9\u5b9a\u56fe\u7247\uff08\u50cf\u7d20\u77e9\u9635\uff09\u4f5c\u7ed9\u5b9a\u70b9\u6269\u6563\u51fd\u6570\u7684\u53bb\u566a\u3002 \u4f46\u662f\uff0cLucy\u7684\u539f\u6587\u6240\u9488\u5bf9\u7684\u95ee\u9898\uff0c\u6bd4\u73b0\u5728\u4e00\u822c\u5e94\u7528\u66f4\u5e7f\u4e49\u3002\u5047\u5b9a$X$\u662f\u4e00\u4e2a\u8fde\u7eed\u53d6\u503c\u968f\u673a\u53d8\u91cf\u3002\u5b83\u7406\u5e94\u6309\u7167\u5206\u5e03\u5bc6\u5ea6\u51fd\u6570$\\phi\\left(x\\right)$\u3002\u6211\u4eec\u60f3\u628a$\\phi\\left(x\\right)$\u89c6\u4e3a\u67d0\u79cd\u7b80\u5355\u5206\u5e03$P\\left(x\\middle|\\xi\\right)$\u6309\u6743\u91cd\u8c31$\\psi\\left(\\xi\\right)$\u7684\u53e0\u52a0\u7ed3\u679c\uff1a \\begin{equation}\\label{eq:original_phi_expression}\\phi\\left(x\\right)=\\int P\\left(x\\middle|\\xi\\right)\\psi\\left(\\xi\\right)\\mathrm{d}\\xi\\end{equation} \u800c\u6211\u4eec\u60f3\u5f97\u77e5\u7ed9\u5b9a\u5f62\u5f0f\u7684\u6838$P\\left(x\\middle|\\xi\\right)$\u6240\u5bf9\u5e94\u7684\u6743\u91cd\u8c31$\\psi\\left(\\xi\\right)$\u3002\u5728\u8fd9\u91cc\uff0c$\\xi$\u662f\u6838\u51fd\u6570$P$\u7684\u53c2\u6570\u3002\u6bd4\u5982\uff0c\u6211\u4eec\u5173\u5fc3\u9ad8\u65af\u6838\u51fd\u6570\u7684\u60c5\u51b5\uff0c\u90a3\u4e48$P\\left(x\\middle|\\xi\\right)$\u53ef\u80fd\u662f\u4ee5$\\xi$\u4e3a\u6807\u51c6\u5dee\u7684\u9ad8\u65af\u51fd\u6570 \\[P\\left(x\\middle|\\xi\\right)=\\frac{1}{\\sqrt{2\\pi\\xi^2}}\\exp\\left[-\\frac{\\left(x-\\mu\\right)^2}{2\\xi^2}\\right]\\] \u5728\u56fe\u50cf\u53bb\u566a\u7684\u4e0a\u4e0b\u6587\u4e2d\uff0c\u4ee5deconvlucy\u4e3a\u4f8b\uff0c\u6838\u51fd\u6570$P\\left(x\\right)$\u662f\u4e00\u4e2a\u56fa\u5b9a\u53c2\u6570$\\xi$\u7684\u51fd\u6570\uff0c\u4e14$\\xi$\u7684\u53d6\u503c\u8303\u56f4\uff08\u5373$P\\left(x\\right)$\u7684\u201c\u5bbd\u5ea6\u201d\uff09\u8fdc\u7a84\u4e8e$x$\u7684\u8303\u56f4\uff08\u5728\u56fe\u50cf\u8bed\u5883\u4e2d\u662f\u56fe\u50cf\u7684\u5927\u5c0f\uff09\u3002\u4f46\u5728Lucy\u539f\u6587\u7684\u8bed\u5883\u4e2d\uff0c$\\phi\\left(x\\right)$\u3001$P\\left(x\\middle|\\xi\\right)$\u548c$\\psi\\left(\\xi\\right)$\u90fd\u662f\u652f\u6491\u4e3a\u6574\u4e2a\u5b9e\u6570\u7684\u5206\u5e03\u5bc6\u5ea6\u51fd\u6570\u3002\u53ef\u4ee5\u8bf4\uff0c\u56fe\u50cf\u53bb\u566a\u5e94\u7528\uff0c\u53ea\u662fLucy\u539f\u6587\u7b97\u6cd5\u7684\u5176\u4e2d\u4e00\u4e2a\u5f88\u7279\u6b8a\u7684\u4f8b\u5b50\u3002 \u6570\u503c\u8ba1\u7b97\u7684\u8bbe\u8ba1\u827a\u672f 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\u4e2d\u5348\u5403\u996d\u7684\u65f6\u5019\u53c8\u9047\u5230\u4e86Madhi\u3002\u6211\u53d1\u73b0\u5f53\u5176\u4e5f\u4eba\u7528\u5fb7\u8bed\u804a\u5929\u65f6\u5019\u4ed6\u603b\u662f\u5f88\u5b89\u9759\uff0c\u52a0\u4e0a\u4ed6\u7684\u540d\u5b57\uff0c\u6211\u5c31\u95ee\u4ed6\u662f\u6765\u81ea\u54ea\u91cc\u7684\uff0c\u539f\u6765\u662f\u4f0a\u6717\u3002\u4ed6\u5728\u4f0a\u6717\u8bfb\u535a\u58eb\u5b66\u4f4d\uff0c\u6765\u5fb7\u56fd\u8fd9\u91cc\u4ea4\u6362\u516d\u4e2a\u6708\u3002\u4ed6\u4e0d\u7ecf\u5e38\u8bf4\u8bdd\u4f46\u6574\u5929\u7b11\uff0c\u5f88\u6e29\u6587\u5c14\u96c5\u3002 \u4e2d\u53481\u70b9\u9080\u8bf7\u4e86\u4e00\u4e2a\u6559\u6388\u8fc7\u6765\u505a\u62a5\u544a\uff0c\u51e0\u4e4e\u5168\u4f53\u7ec4\u5458\u90fd\u8981\u53c2\u52a0\uff0cProf. Whilhelm\u4e3b\u6301\u3002\u62a5\u544a\u8005\u662fThomas Hanemann\uff0c\u6765\u81eaInstitute of Applied Materials\uff0c\u62a5\u544a\u7684\u9898\u76ee\u662fPolymer-based Materials in Microsystem Technologies\u3002\u62a5\u544a\u7684\u4e3b\u8981\u5185\u5bb9\u653e\u5728\u5fae\u7c73\u7ea7\u7684\u5149\u5b66\u5143\u4ef6\u4e0a\u3002\u5bf9\u8fd9\u79cd\u6750\u6599\u7684\u8981\u6c42\u9996\u5148\u662f\u9ad8\u900f\u5149\u7387\u548c\u9ad8\u6298\u5c04\u7387\u3002\u9ad8\u900f\u5149\u7387\u7684\u805a\u5408\u7269\u6709\u5f88\u591a\uff08\u4f8b\u5982PMMA\u7b49\uff09\uff0c\u4f46\u4e3a\u4e86\u63d0\u9ad8\u6298\u5c04\u7387\uff0c\u5c31\u8981\u5f80\u805a\u5408\u7269\u91cc\u6dfb\u52a0\u5176\u4ed6\u6210\u4efd\uff0c\u5f80\u5f80\u5c31\u8981\u964d\u4f4e\u900f\u5149\u7387\u3002\u63d0\u9ad8\u6298\u5c04\u7387\u53ef\u4ee5\u901a\u8fc7\u6dfb\u52a0\u65e0\u673a\u586b\u6599\u6216\u8005\u6709\u673a\u63ba\u6742\u3002\u65e0\u673a\u586b\u6599\u4ea7\u751f\u7684\u95ee\u9898\u5c31\u662f\u6563\u5c04\u3001\u5206\u6563\u6027\u3001\u6d53\u5ea6\u548c\u8868\u9762\u6027\u8d28\u7b49\u7b49\u90fd\u4f1a\u5f71\u54cd\u6750\u6599\u7684\u900f\u5149\u7387\u3002\u6709\u673a\u63ba\u6742\u867d\u7136\u6ca1\u6709\u6563\u5c04\u7684\u95ee\u9898\uff0c\u4f46\u6709\u5f88\u591a\u5206\u5b50\u672c\u8eab\u53c8\u6709\u989c\u8272\uff0c\u800c\u4e14\u63ba\u4e86\u6709\u673a\u5c0f\u5206\u5b50\u5bf9\u805a\u5408\u7269\u6709\u589e\u5851\u4f5c\u7528\uff0c\u964d\u4f4e\u4e86\u6750\u6599\u7684\u529b\u5b66\u7a33\u5b9a\u6027\uff08\u4f8b\u5982\u8010\u9ad8\u6e29\u6027\u8d28\uff09\u3002\u4f46\u8fd9\u4e9b\u90fd\u7ec8\u5f52\u53ea\u662f\u8ba8\u8bba\uff0cProf. Hanemann\u8fd8\u662f\u6210\u529f\u5730\u505a\u51fa\u4e86\u4e00\u4e9b\u6750\u6599\u3002\u53e6\u5916\uff0cProf. Hanemann\u8fd8\u5728\u7814\u7a76\u9676\u74f7\u7684\u5fae\u91cf\u6ce8\u5851\u6280\u672f\uff08\u901a\u8fc7sol-gel\u65b9\u6cd5\uff09\u3002\u8fd9\u4e2a\u6280\u672f\u53ef\u4ee5\u7528\u4e8e\u505a\u975e\u5e38\u7cbe\u7ec6\u7684\u5143\u4ef6\u3002\u4f46\u662f\u5230\u4e86\u5fae\u91cf\u6210\u5f62\u7684\u5c3a\u5ea6\uff0c\u5404\u4e2a\u73af\u8282\u90fd\u6709\u96be\u5ea6\u3002\u4f8b\u5982\u8d77\u59cb\u7684feedstock\u9700\u8981\u4f18\u5316\uff0c\u6d41\u9053\u9700\u8981\u4f18\u5316\u7b49\u7b49\u3002 \u8bb2\u5ea7\u5927\u6982\u82b1\u4e86\u4e00\u4e2a\u5c0f\u65f6\uff0c\u5b8c\u4e86\u4e4b\u540e\u6709Nico\u5e26Hanemann\u6559\u6388\u548c\u4ed6\u7684\u5b66\u751f\u53c2\u89c2\u5b9e\u9a8c\u5ba4\uff0c\u7136\u540e\u53c8\u5230\u4e00\u4e2a\u623f\u95f4\u91cc\u559d\u4e0b\u5348\u8336\u7ee7\u7eed\u95f2\u804a\uff0c\u5404\u81ea\u4ecb\u7ecd\u81ea\u5df1\u7684\u5de5\u4f5c\u5185\u5bb9\uff0c\u5bfb\u627e\u5408\u4f5c\u3002Hanemann\u6709\u4e9b\u5b66\u751f\u662f\u8981\u7814\u7a76feedstock\u7684\u6d41\u4f53\u529b\u5b66\u6027\u8d28\u7684\uff0c\u6070\u597dWhilhelm\u7684\u5b66\u751fRoland\u5c31\u662f\u4e13\u95e8\u6363\u9f13\u6d41\u52a8\u4e0d\u7a33\u5b9a\u6027\u7684\uff0c\u4e8e\u662f\u8fd8\u786e\u5b9e\u6709\u5408\u4f5c\u7684\u7a7a\u95f4\u3002 Fourier\u53d8\u6362 \u56de\u5230\u529e\u516c\u5ba4\u5df2\u7ecf\u662f\u4e0b\u5348\u4e09\u70b9\u591a\u4e86\u3002\u6211\u53c8\u8bf7\u6559Kathrin\u5173\u4e8eLAOS\u65f6\u95f4\u626b\u63cf\u7684\u60f3\u6cd5\u3002\u7531\u4e8e\u6211\u51c6\u5907\u5728\u4e00\u4e2a\u957f\u65f6\u95f4\u4fe1\u53f7\u4e2d\u9010\u6bb5\u622a\u53d6\u90e8\u5206\u4fe1\u53f7\u8fdb\u884c\u5206\u6790\u3002\u56e0\u6b64\u622a\u53d6\u7684\u65f6\u95f4\u7a97\u53e3\u7684\u5927\u5c0f\u662f\u53d7\u9650\u7684\u3002\u5982\u679c\u5728\u6709\u9650\u7684\u65f6\u95f4\u7a97\u53e3\u0394t\u4e2d\u6709N\u4e2a\u6570\u636e\uff08oversampling\u4ee5\u540e\uff09\uff0c\u90a3\u4e48Fourier\u53d8\u6362\u4e4b\u540e\u7684\u9891\u7387\u5206\u8fa8\u7387\u5c31\u662f\u0394f = fs \/ N\uff0cfs\u662fsampling frequency\u3002\u8fdb\u4e00\u6b65\u5206\u6790\u53d1\u73b0\uff0c\u0394f = f0 \/ Ncycle\uff0cf0\u662f\u65f6\u57df\u4fe1\u53f7\u7684\u9891\u7387\uff0cNcycle\u662f\u65f6\u57df\u4fe1\u53f7\u7684\u5468\u671f\u6570\uff0c\u5fc5\u987b\u662f\u975e\u96f6\u6b63\u6574\u6570\u3002\u5728\u7ed9\u5b9af0\u7684\u6761\u4ef6\u4e0b\uff0c\u662f\u4e0d\u80fd\u65e2\u8ba9Ncycle\u5c3d\u53ef\u80fd\u5c0f\u53c8\u8ba9\u0394f\u5c3d\u53ef\u80fd\u5c0f\u7684\u3002\u5982\u679c\u60c5\u613fNcycle\u5c3d\u53ef\u80fd\u5c0f\uff08Ncycle = 1\uff09\u90a3\u4e48\u0394f = f0\u3002\u4e5f\u5c31\u662f\u8bf4Fourier\u53d8\u6362\u4e4b\u540e\u7684\u66f2\u7ebf\u5c31\u603b\u662f\u4ecef = 0\u4e00\u4e0b\u8df3\u5230f = f0\u3002\u5e94\u8be5\u662f\u6700\u5dee\u7684\u60c5\u51b5\u3002\u4ee5\u4e0b\u662ff0 = 1Hz\uff0cNcycle = 1\u7684\u60c5\u51b5\u3002 \u7531\u4e8e\u6211\u662f\u8981\u53d6\u7279\u5b9a\u9891\u7387\u7684\u5e45\u503c\uff08f0\u30013f0\u30015f0\u2026\u2026\uff09\uff0c\u6211\u62c5\u5fc3\u5f53\u0394f\u5f88\u5927\u7684\u65f6\u5019\uff0c\u5728\u6240\u9700\u7684\u9891\u7387\u4f4d\u7f6e\u4f1a\u6ca1\u6709\u6570\u636e\u70b9\u3002\u4f46\u6839\u636e\u4e0a\u9762\u7684\u5206\u6790\u53ea\u8981Ncycle\u662f\u975e\u96f6\u6b63\u6574\u6570\u7684\u8bdd\uff0c\u8fd9\u4e2a\u60c5\u51b5\u662f\u4e0d\u4f1a\u51fa\u73b0\u7684\u3002\u6211\u53c8\u62c5\u5fc3\u5bf9\u4e8e\u540c\u6837\u7684\u65f6\u57df\u4fe1\u53f7\uff0cFourier\u53d8\u6362\u7684\u0394f\u4e0d\u540c\uff0c\u5f97\u5230\u7684\u5e45\u503c\u4f1a\u4e0d\u540c\uff0c\u81f3\u5c11\u5f53\u0394f\u7279\u522b\u4f4e\u7684\u65f6\u5019\u3002Kathrin\u5012\u662f\u7814\u7a76\u8fc7\u8fd9\u4e2a\u95ee\u9898\uff0c\u5979\u7ed9\u6211\u770b\u4e86\u4e00\u4e2a\u7ed3\u679c\uff0c\u5dee\u522b\u5f88\u5c0f\u3002\u56e0\u6b64\u4e5f\u5c31\u4e0d\u7528\u62c5\u5fc3\u8fd9\u4e2a\u95ee\u9898\u3002 \u9891\u7387\u5206\u8fa8\u7387\u7684\u95ee\u9898\u5206\u6790\u5b8c\u4e4b\u540e\uff0c\u4e0b\u4e00\u4e2a\u95ee\u9898\u5c31\u662f\u5b9e\u9645\u4fe1\u53f7\u7684\u57fa\u9891\u5f80\u5f80\u5e76\u4e0d\u7cbe\u786e\u5730\u7b49\u4e8e\u5b9e\u9a8c\u8f93\u5165\u7684\u9891\u7387\u3002\u4f8b\u5982\u6211\u9700\u8981\u9a6c\u8fbe\u8fdb\u884c\u9891\u7387\u4e3a1Hz\u7684\u632f\u8361\uff0c\u4f46\u5b9e\u9645\u9a6c\u8fbe\u4fe1\u53f7\u53d6\u51fa\u6765\u57fa\u9891\u5f88\u53ef\u80fd\u662f0.99Hz\u3002\u8fd9\u4e00\u70b9\u70b9\u5dee\u522b\u57283f0\u30015f0\u7b49\u500d\u9891\u5904\u4f1a\u6210\u500d\u589e\u5927\u3002\u5982\u679c\u6211\u5728\u505aFourier\u53d8\u6362\u7684\u65f6\u5019\u4ee5\u5b9e\u9a8c\u8f93\u5165\u7684\uff08\u81ea\u4ee5\u4e3a\u662f\u7684\uff09\u9891\u7387\u4e3a\u57fa\u9891\u6765\u53d6\u8c10\u6ce2\u5e45\u503c\uff0c\u5c31\u6709\u53ef\u80fd\u4f1a\u51fa\u9519\u3002\u56e0\u6b64\u6709\u5fc5\u8981\u5148\u786e\u5b9a\u4fe1\u53f7\u7684\u771f\u5b9e\u57fa\u9891\uff0c\u518d\u8fdb\u884cFourier\u53d8\u6362\u3002\u4e8e\u662f\u6211\u8bf7\u6559\u786e\u5b9a\u4fe1\u53f7\u7684\u771f\u5b9e\u57fa\u9891\u6709\u6ca1\u6709\u6bd4\u8f83\u201c\u4e13\u4e1a\u201d\u4e00\u70b9\u7684\u65b9\u6cd5\u3002\u8ba8\u8bba\u7684\u7ed3\u679c\u662f\u8c8c\u4f3c\u6ca1\u6709\uff0c\u65e0\u975e\u5c31\u662f\u9009\u62e9\u6070\u5f53\u7684\u7a97\u53e3\u8fdb\u884cfind max\u3002\u56e0\u6b64\uff0c\u5148\u662f\u4e3a\u4e86\u786e\u5b9a\u57fa\u9891\u5c31\u8981\u5360\u7528\u4e00\u5b9a\u7684Ncycle\u3002\u786e\u5b9a\u57fa\u9891\u6240\u7528\u7684Ncycle\u4e5f\u662f\u8d8a\u5c0f\u8d8a\u597d\u7684\u3002\u6240\u4ee5\u5982\u679c\u4e0d\u786e\u5b9a\u4e0a\u8ff0\u7684\u0394f\u592a\u5927\u5bf9\u5e45\u503c\u6ca1\u6709\u5f71\u54cd\uff0c\u57fa\u9891\u7684\u786e\u5b9a\u8fd9\u4e00\u6b65\u5c31\u5f88\u96be\u4fdd\u8bc1\u4e86\u3002\u2026","rel":"","context":"In "AV"","block_context":{"text":"AV","link":"https:\/\/www.andrewsun.net\/panta_rhei\/archives\/category\/personal\/av"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/www.andrewsun.net\/panta_rhei\/wp-content\/uploads\/2011\/05\/untitled-300x225.jpg?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":5675,"url":"https:\/\/www.andrewsun.net\/panta_rhei\/archives\/5675","url_meta":{"origin":9177,"position":5},"title":"\u7a33\u6001\u526a\u5207\u4e0b\u7684\u7ed3\u6784\u677e\u5f1b","author":"Andrew","date":"2013\u5e749\u670819\u65e5","format":false,"excerpt":"\u4e2d\u79cb\u8fd9\u4e24\u5929\u5047\u671f\uff0c\u6211\u90fd\u5728\u770bmode coupling theory\u7684\u6587\u732e\u3002\u82b1\u4e86\u5f88\u591a\u529f\u592b\uff0c\u7ed3\u679c\u5565\u4e5f\u6ca1\u771f\u6b63\u770b\u61c2\u3002\u4ee5\u540e\u53ef\u80fd\u4e0d\u4f1a\u518d\u50cf\u8fd9\u4e24\u5929\u8fd9\u4e48\u8ba4\u771f\u5730\u53bb\u770b\u8fd9\u73a9\u610f\u4e86\uff0c\u6240\u4ee5\u597d\u6b79\u8bb0\u5f55\u4e00\u4e0b\u3002 Time-shear superposition \u5bf9\u8fc7\u51b7\u6db2\u4f53\u7684\u6a21\u62df\u7814\u7a76\u53d1\u73b0\uff0c\u5728\u65bd\u52a0\u4e00\u4e2a\u7a33\u6001\u526a\u5207\u65f6\uff0c\u5176\u5bc6\u5ea6\u6216\u6563\u5c04\u81ea\u76f8\u5173\u51fd\u6570\u7684\u03b1\u677e\u5f1b\u968f\u589e\u5927\u5411\u77ed\u65f6\u95f4\u65b9\u5411\u79fb\u52a8\uff0c\u677e\u5f1b\u65f6\u95f4\u51cf\u5c0f\u3002\u5982\u679c\u628a\u4e0d\u540c\u7684\u81ea\u76f8\u5173\u51fd\u6570\u6539\u5bf9\u4e00\u4e2a\u7ea6\u5316\u7684\u65f6\u95f4t\/\u03c4\u4f5c\u56fe\uff0c\u5404\u66f2\u7ebf\u7684\u03b1\u677e\u5f1b\u90e8\u5206\u80fd\u591f\u53e0\u52a0\u6210\u4e00\u6761\u4e3b\u66f2\u7ebf\u3002\u03c4\u8ddf\u7684\u5173\u7cfb\u5f80\u5f80\u5177\u6709\u7684\u5f62\u5f0f\uff0ca\u5f88\u63a5\u8fd11\u3002\u8fd9\u4e2a\u73b0\u8c61\u8bf4\u660e\uff0c\u7a33\u6001\u526a\u5207\u80fd\u591f\u7f29\u77ed\u03b1\u677e\u5f1b\u7684\u65f6\u95f4\u5c3a\u5ea6\uff0c\u4f46\u4e0d\u6539\u53d8\u677e\u5f1b\u66f2\u7ebf\u7684\u5f62\u72b6\uff0c\u8fd9\u4e00\u73b0\u8c61\u53c8\u88ab\u79f0\u4e3atime-shear superposition\u3002 Strain rate-frequency superposition 2007\u5e74Wyss\u7b49\u62a5\u9053\uff0c\u5728\u51e0\u79cd\u4e0d\u540c\u7684\u6d53\u80f6\u4f53\u4f53\u7cfb\u90fd\u5448\u73b0\u6240\u8c13strain rate-frequency 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model\u7684\u7c7b\u578b\uff0c\u8bbe\u8ba1\u4e86\u5f88\u591a\u6ca1\u6709\u76f4\u63a5\u7269\u7406\u610f\u4e49\u7684\u8868\u8fbe\u5f0f\u51d1\u6765\u51d1\u53bb\u3002\u5982\u679c\u7528\u8fd9\u4e9b\u6a21\u578b\u53bb\u5c1d\u8bd5SRFS\uff0c\u65e0\u8bba\u662f\u6210\u8fd8\u662f\u4e0d\u6210\uff0c\u4f60\u90fd\u5f88\u96be\u83b7\u5f97\u4ec0\u4e48\u7269\u7406\u4e0a\u7684insight\u3002\u6240\u4ee5\uff0c\u6211\u5c31\u60f3\u6539\u7528\u4e00\u4e9b\u80f6\u4f53\u4f53\u7cfb\u7684first principle\u7684\u6d41\u53d8\u7406\u8bba\u3002\u9996\u5148\u60f3\u5230\u7684\u5c31\u662fMCT\u5411\u6d41\u53d8\u5b66\u7684\u63a8\u5e7f\uff0c\u5373Fuchs\u7b49\u4eba\u7684\u5de5\u4f5c\u3002\u5177\u4f53\u5730\uff0c\u662f\u5e0c\u671b\u91c7\u7528MCT-ITT\u7684\u4e00\u4e9b\u7b80\u5316\u7248schematic -model\u3002\u4f7f\u7528\u8fd9\u4e2a\u6a21\u578b\u6765\u9884\u6d4bLAOS\u7ed3\u679c\u7684\u62a5\u9053\u5df2\u7ecf\u6709\u4e86\u3002MCT-ITT\u7684\u6570\u5b66\u8fdc\u8fdc\u8d85\u8fc7\u4e86\u6211\u7684\u80fd\u529b\uff0c\u6211\u662f\u6700\u8fd1\u627e\u5230\u4e86\u4e00\u4e2a\u61c2\u6570\u5b66\u7684\u670b\u53cb\u5e2e\u5fd9\u8ba1\u7b97MCT\uff0c\u624d\u8003\u8651\u8fd9\u4e2a\u95ee\u9898\u7684\u3002\u8fd9\u9879\u5de5\u4f5c\u6b63\u5728\u8fdb\u884c\u4e2d\uff0c\u5b58\u5728\u4e00\u4e9b\u95ee\u9898\uff0c\u7a0d\u540e\u518d\u8bf4\u3002 \u8981\u56de\u7b54\u7b2c\u4e8c\u4e2a\u95ee\u9898\uff0c\u5373\u6709\u4ec0\u4e48\u6d41\u53d8\u5b66\u65b9\u6cd5\u80fd\u591f\u770b\u5230\u4f53\u7cfb\u5728\u975e\u7ebf\u6027\u6761\u4ef6\u4e0b\u7684\u7ed3\u6784\u677e\u5f1b\uff0c\u6211\u4eec\u5e94\u8be5\u9996\u5148\u628a\u60c5\u51b5\u7b80\u5316\u56de\u7a33\u6001\u526a\u5207\u3002\u8fb9\u8fdb\u884c\u7a33\u6001\u526a\u5207\uff0c\u8fb9\u8fdb\u884c\u677e\u5f1b\u6d4b\u8bd5\u7684\u6d41\u53d8\u5b66\u65b9\u6cd5\u662f\u6709\u7684\uff0c\u53eb\u505a\u201c\u53e0\u52a0\u6d41\u53d8\u5b66\u201d\uff0csuperposition 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superposition\u4e86\uff0c\u4f5c\u8005\u7ed9\u51fa\u4e86\u4e0d\u540c\u7a33\u6001\u5e94\u529b\u53e0\u52a0\u7684\u5c0f\u5e45\u626b\u9891\u66f2\u7ebf\uff0c\u5e76\u53e0\u52a0\u6210\u4e86\u4e3b\u66f2\u7ebf\uff0c\u4f46\u662f\u6ca1\u6709\u7ed9\u51fa\u76f8\u5e94\u7684\u526a\u5207\u901f\u7387\uff0c\u4e5f\u6ca1\u6709\u5bf9\u5e73\u79fb\u56e0\u5b50\u8fdb\u884c\u8ba8\u8bba\u3002\u4f46\u8fd9\u4e00\u62a5\u9053\u8bf4\u660e\uff0c\u80f6\u4f53\u4f53\u7cfb\u5728\u6d41\u53d8\u5b66\u884c\u4e3a\u4e0a\u4e5f\u662f\u7b26\u5408time-shear 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