{"id":3134,"date":"2024-01-29T00:11:11","date_gmt":"2024-01-28T16:11:11","guid":{"rendered":"http:\/\/khsci.com\/docs\/?p=3134"},"modified":"2024-06-28T23:10:48","modified_gmt":"2024-06-28T15:10:48","slug":"feamse","status":"publish","type":"post","link":"https:\/\/www.khsci.com\/docs\/index.php\/2024\/01\/29\/feamse\/","title":{"rendered":"\u7279\u5f81\u63d0\u53d6\uff08\u591a\u5c3a\u5ea6\u71b5\uff09"},"content":{"rendered":"\n

\u4e00\u3001\u4ee3\u7801\u8fd0\u884c\u73af\u5883<\/strong><\/h4>\n\n\n\n

MATLAB2018a<\/span>\u53ca\u66f4\u65b0\u7248\u672c\u3002 <\/p>\n\n\n\n

\u4e8c\u3001\u7a0b\u5e8f\u4ecb\u7ecd<\/strong><\/h4>\n\n\n
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\"\"<\/figure><\/div>\n\n\n

\u6ce8\uff1a\u56fe\u6807\u4ee3\u8868\u8be5m\u6587\u4ef6\u4e3a\u811a\u672c\u6587\u4ef6\uff0c\u53ef\u4ee5\u76f4\u63a5\u8fd0\u884c\uff1b\u56fe\u6807\u4ee3\u8868\u51fd\u6570\u6587\u4ef6\uff0c\u5728\u6ca1\u6709\u8f93\u5165\u53d8\u91cf\u7684\u60c5\u51b5\u4e0b\u65e0\u6cd5\u76f4\u63a5\u8fd0\u884c\u3002\u66f4\u8be6\u7ec6\u7684\u89e3\u91ca\u53ef\u4ee5\u770b\u8fd9\u91cc<\/a>\u3002<\/span><\/p>\n\n\n\n

1.<\/strong><\/span>testGenFeaMSE<\/mark><\/strong>.<\/span><\/strong><\/span>m\u6587\u4ef6<\/strong><\/span><\/p>\n\n\n\n

\u7279\u5f81\u63d0\u53d6\u51fd\u6570genFeatureMSE\u7684\u6d4b\u8bd5\u6587\u4ef6\uff0c\u53ef\u4ee5\u76f4\u63a5\u8fd0\u884c\u3002\u7a0b\u5e8f\u8fd0\u884c\u5b8c\u6210\u540e\uff0c\u5728MATLAB\u7684\u5de5\u4f5c\u533a\uff0c\u53cc\u51fbmseFea\u53d8\u91cf\uff0c\u53ef\u4ee5\u67e5\u770b\u6c42\u5f97\u7684\u5177\u4f53\u6570\u503c\u3002<\/p>\n\n\n\n

\u53ef\u4ee5\u63d0\u53d6\u7684\u591a\u5c3a\u5ea6\u71b5\u7c7b\u578b\u5305\u62ec\uff1a\u591a\u5c3a\u5ea6\u6837\u672c\u71b5\u3001\u591a\u5c3a\u5ea6\u6a21\u7cca\u71b5\u3001\u591a\u5c3a\u5ea6\u6392\u5217\u71b5\u3001\u591a\u5c3a\u5ea6\u5305\u7edc\u71b5\u3001\u591a\u5c3a\u5ea6\u529f\u7387\u8c31\u71b5\u3001\u591a\u5c3a\u5ea6\u80fd\u91cf\u71b5\u3001\u591a\u5c3a\u5ea6\u5947\u5f02\u8c31\u71b5\u3001\u591a\u5c3a\u5ea6\u6563\u5e03\u71b5\uff08\u5b8c\u6574\u724820240608\u66f4\u65b0\uff09<\/mark><\/strong>\u3002\u53ef\u4ee5\u6839\u636e\u9700\u6c42\u7075\u6d3b\u9009\u53d6\u8ba1\u7b97\u6240\u6709\u6216\u8005\u90e8\u5206\u591a\u5c3a\u5ea6\u71b5\u3002<\/p>\n\n\n\n

\u4ee3\u7801\u8fd0\u884c\u540e\uff0c\u4f1a\u7ed8\u5236\u7c97\u7c92\u5ea6\u4fe1\u53f7\u56fe\uff08\u5b8c\u6574\u7248\u72ec\u6709<\/mark>\uff09\u548c\u5404\u7c7b\u578b\u71b5\u7684\u591a\u5c3a\u5ea6\u8ba1\u7b97\u7ed3\u679c\uff0c\u5982\u4e0b\u56fe\uff1a<\/p>\n\n\n

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\"\"<\/figure><\/div>\n\n
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\"\"<\/figure><\/div>\n\n\n

2.genFeatureMSE.m\u6587\u4ef6<\/strong><\/span><\/p>\n\n\n\n

\u591a\u5c3a\u5ea6\u71b5\u7279\u5f81\u63d0\u53d6\u51fd\u6570\u30029\u79cd\u5168\u90fd\u96c6\u4e2d\u5230\u4e00\u4e2a\u5c01\u88c5\u51fd\u6570\u91cc\uff0c\u53ea\u9700\u8981\u8f93\u5165\u5f85\u63d0\u53d6\u6570\u636e\u3001\u91c7\u6837\u9891\u7387\u548c\u7279\u5f81\u7c7b\u578b\uff0c\u5b9e\u73b0\u4e00\u884c\u4ee3\u7801\u5b8c\u6210\u7279\u5f81\u63d0\u53d6\u3002<\/p>\n\n\n\n

\u9700\u6ce8\u610f\u8be5\u51fd\u6570\u6587\u4ef6\u4e0d\u80fd\u76f4\u63a5\u8fd0\u884c\uff0c\u9700\u53c2\u7167testGenFeaMSE\u7684\u6f14\u793a\u6848\u4f8b\u8fdb\u884c\u8c03\u7528\u3002\u6b64\u5916\u9700\u6ce8\u610f\uff0c\u56e0\u591a\u5c3a\u5ea6\u71b5\u672c\u8eab\u7279\u5f81\u9650\u5236\uff0c\u8be5\u51fd\u6570\u4ec5\u5bf9\u4e00\u7ef4\u6570\u636e\u6c42\u53d6\u591a\u5c3a\u5ea6\u71b5\u3002<\/p>\n\n\n\n

function mseFea = genFeatureMSE(data, scales, featureNamesCell, options)\n% \u591a\u5c3a\u5ea6\u71b5\u7279\u5f81\u63d0\u53d6\u51fd\u6570\n% \u8f93\u5165\uff1a\n% data\uff1a\u5f85\u7279\u5f81\u63d0\u53d6\u7684\u65f6\u57df\u4fe1\u53f7\uff0c\u5fc5\u987b\u662f\u4e00\u7ef4\u6570\u636e\n% scales\uff1a\u8981\u5206\u6790\u7684\u5c3a\u5ea6\u6570\u7ec4\n% featureNamesCell\uff1a\u62df\u8fdb\u884c\u7279\u5f81\u63d0\u53d6\u7684\u7279\u5f81\u540d\u79f0\uff0c\u8be5\u53d8\u91cf\u4e3acell\u7c7b\u578b\uff0c\u5176\u4e2d\u5305\u542b\u7684\u7279\u5f81\u540d\u79f0\u4e3a\u5b57\u7b26\u4e32\uff0c\u7279\u5f81\u540d\u79f0\u9700\u8981\u5728\u4e0b\u8fb9\u5217\u8868\u4e2d\uff1a\n% \u76ee\u524d\u652f\u6301\u7684\u7279\u5f81\uff082024.6.28\uff0c\u51719\u79cd\uff09\uff1a\n%      psdE\uff1a\u529f\u7387\u8c31\u71b5\n%      svdpE\uff1a\u5947\u5f02\u8c31\u71b5\n%      eeE\uff1a\u80fd\u91cf\u71b5\n%      ApEn\uff1a\u8fd1\u4f3c\u71b5\n%      SpEn\uff1a\u6837\u672c\u71b5\n%      FuzzyEn\uff1a\u6a21\u7cca\u71b5\n%      PeEn\uff1a\u6392\u5217\u71b5\n%      enveEn\uff1a\u5305\u7edc\u71b5\n%      DE\uff1a\u6563\u5e03\u71b5\uff08\u9700\u8981\u5b8c\u6574\u7248\u4ee3\u7801\uff09\n% options\uff1a\u5176\u4ed6\u8bbe\u7f6e\uff0c\u4f7f\u7528\u7ed3\u6784\u4f53\u7684\u65b9\u5f0f\u5bfc\u5165\u3002\u76ee\u524d\u53ef\u8bbe\u7f6e\u53d8\u91cf\u5305\u62ec\uff1a\n%   -svdpEn\uff1a\u5373\u5947\u5f02\u503c\u7684\u7a97\u53e3\u957f\u5ea6\u3002\n%   -Apdim\uff1a\u8fd1\u4f3c\u71b5\u53c2\u6570\uff0cApdim\u4e3a\u8fd1\u4f3c\u71b5\u7684\u6a21\u5f0f\u7ef4\u5ea6\n%   -Apr\uff1a\u8fd1\u4f3c\u71b5\u53c2\u6570\uff0cApr\u4e3a\u8fd1\u4f3c\u71b5\u7684\u9608\u503c\n%   -Spdim\uff1a\u6837\u672c\u71b5\u53c2\u6570\uff0cSpdim\u4e3a\u6837\u672c\u71b5\u7684\u6a21\u5f0f\u7ef4\u5ea6\n%   -Spr\uff1aSpr\u4e3a\u6837\u672c\u71b5\u7684\u9608\u503c\n%   -Fuzdim\uff1a\u6a21\u7cca\u71b5\u53c2\u6570\uff0cFuzdim\u4e3a\u6a21\u7cca\u71b5\u6a21\u5f0f\u7ef4\u5ea6\n%   -Fuzr\uff1a\u6a21\u7cca\u71b5\u53c2\u6570\uff0cFuzr\u4e3a\u6a21\u7cca\u71b5\u7684\u9608\u503c\n%   -Fuzn\uff1a\u6a21\u7cca\u71b5\u53c2\u6570\uff0cFuzn\u4e3a\u6a21\u7cca\u71b5\u6743\u91cd\n%   -Pedim\uff1a\u6392\u5217\u71b5\u53c2\u6570\uff0cPedim\u4e3a\u6392\u5217\u71b5\u6a21\u5f0f\u7ef4\u5ea6\n%   -Pet\uff1a\u6392\u5217\u71b5\u53c2\u6570\uff0cPet\u4e3a\u6392\u5217\u71b5\u7684\u65f6\u95f4\u5ef6\u8fdf\n%   -DEm: \u6563\u5e03\u71b5\u53c2\u6570\uff0cDEm\u4e3a\u6563\u5e03\u71b5\u6a21\u5f0f\u7ef4\u5ea6\n%   -DEc: \u6563\u5e03\u71b5\u53c2\u6570\uff0cDEc\u4e3a\u6563\u5e03\u71b5\u7c7b\u522b\u6570(\u901a\u5e38\u5efa\u8bae\u53d66)\n%   -DEd: \u6563\u5e03\u71b5\u53c2\u6570\uff0cDEd\u4e3a\u6563\u5e03\u71b5\u65f6\u95f4\u5ef6\u8fdf(\u901a\u5e38\u5efa\u8bae\u53d61)\n%   -fs\uff1a\u91c7\u6837\u9891\u7387\uff0c\u91c7\u6837\u9891\u7387\u5373\u6bcf\u79d2\u949f\u91c7\u96c6\u7684\u6570\u636e\u70b9\u6570\uff0c\u6309\u7167\u5b9e\u9645\u60c5\u51b5\u8bbe\u7f6e\uff0c\u8be5\u53c2\u6570\u76ee\u524d\u5728\u5305\u7edc\u71b5\u7279\u5f81\u91c7\u96c6\u4e2d\u7528\u5230\n%   -figflag\uff1a\u662f\u5426\u753b\u56fe\uff0c'on'\u4e3a\u753b\u56fe\uff0c'off'\u4e3a\u4e0d\u753b\u56fe   <\/code><\/pre>\n\n\n\n
<\/p>\n\n\n\n
\u8be5\u6587\u4ef6\u4e2d\u8fd8\u5305\u542b\u4e86\u529f\u7387\u8c31\u71b5\u3001\u5947\u5f02\u8c31\u71b5\u3001\u80fd\u91cf\u71b5\u3001\u8fd1\u4f3c\u71b5<\/strong>\u3001\u6837\u672c\u71b5\u3001\u6392\u5217\u71b5\u3001\u6a21\u7cca\u71b5\u3001\u5305\u7edc\u71b5\u3001\u6563\u5e03\u71b5\uff08\u5b8c\u6574\u724820240608\u66f4\u65b0\uff09<\/mark><\/strong>\u7684\u5b50\u51fd\u6570\uff0c\u51fd\u6570\u4ecb\u7ecd\u5982\u4e0b\uff1a<\/span><\/strong><\/p>\n\n\n\n
function ie = kInformationEntopy(sig,SegmentNum)\n\n% \u8ba1\u7b97\u4fe1\u53f7\u7684\u4fe1\u606f\u71b5\n% \u53c2\u8003\u300a\u77ff\u7528\u5e26\u5f0f\u8f93\u9001\u673a\u6258\u8f8a\u8fdc\u7a0b\u6545\u969c\u8bca\u65ad\u7cfb\u7edf\u300b\n% \u8f93\u5165\uff1a\n% sig\uff1a\u8f93\u5165\u4fe1\u53f7\n% SegmentNum\uff1a\u62df\u5206\u7ec4\u6570\uff0c\u5982\u679c\u4e0d\u8f93\u5165\uff0c\u5219\u81ea\u52a8\u4f7f\u7528\u65af\u7279\u683c\u65af\uff08Sturges\uff09\u7ecf\u9a8c\u516c\u5f0f\u8ba1\u7b97\u3002\n% \u8f93\u51fa\uff1a\n% ie\uff1a\u4fe1\u606f\u71b5\u6c42\u89e3\u7ed3\u679c<\/code><\/pre>\n\n\n\n
function svdpE = kSingularSpectrumEntropy(data,n)\n\n% \u6c42\u4fe1\u53f7\u7684\u5947\u5f02\u8c31\u71b5\n% \u53c2\u8003\u300a\u77ff\u7528\u5e26\u5f0f\u8f93\u9001\u673a\u6258\u8f8a\u8fdc\u7a0b\u6545\u969c\u8bca\u65ad\u7cfb\u7edf\u300b\n% \u8f93\u5165\uff1a\n% data\uff1a\u5f85\u5206\u6790\u4fe1\u53f7\n% n\uff1a\u7a97\u53e3\u957f\u5ea6\uff0c\u6ce8\u610f\uff1a2<=n<=lenght(data)-1\n% \u8f93\u51fa\uff1a\n% svdpE\uff1a\u5947\u5f02\u8c31\u71b5\u503c<\/code><\/pre>\n\n\n\n
function psdE = kPowerSpectrumEntropy(data)\n\n% \u6c42\u4fe1\u53f7\u7684\u529f\u7387\u8c31\u71b5\n% \u529f\u7387\u8c31\u4f7f\u7528\u5468\u671f\u56fe\u6cd5\u8ba1\u7b97\u5f97\u5230\n% \u53c2\u8003\u300a\u77ff\u7528\u5e26\u5f0f\u8f93\u9001\u673a\u6258\u8f8a\u8fdc\u7a0b\u6545\u969c\u8bca\u65ad\u7cfb\u7edf\u300b\n% \u8f93\u5165\uff1a\n% data\uff1a\u5f85\u5206\u6790\u4fe1\u53f7\n% \u8f93\u51fa\uff1a\n% psdE\uff1a\u529f\u7387\u8c31\u71b5\u503c<\/code><\/pre>\n\n\n\n
function eE = kEnergyEntropy(data)\n\n% \u6c42\u4fe1\u53f7\u57fa\u4e8eemd\u5206\u89e3\u7b97\u6cd5\u7684\u80fd\u91cf\u71b5\n% \u53c2\u8003\u300a\u9762\u5411\u9ad8\u94c1\u8d70\u884c\u90e8\u6545\u969c\u8bca\u65ad\u7b97\u6cd5\u7684\u7814\u7a76\u4e0e\u5b9e\u73b0\u300b\n% \u8f93\u5165\uff1a\n% data\uff1a\u5f85\u5206\u6790\u4fe1\u53f7\n% \u8f93\u51fa\uff1a\n% eE\uff1a\u80fd\u91cf\u71b5\u503c<\/code><\/pre>\n\n\n\n
function ApEn = kApproximateEntropy(data, dim, r)\n\n\n%  \u8ba1\u7b97\u8fd1\u4f3c\u71b5(ApEn)\uff0c\u5728\u7f51\u4e0a\u6d41\u4f20\u7684ApproximateEntropy\u51fd\u6570\u57fa\u7840\u4e0a\u4fee\u6539\n%  \u8f93\u5165\uff1a\n%  data  - \u5f85\u5206\u6790\u6570\u636e\uff0c\u9700\u8981\u662f\u4e00\u7ef4\u6570\u636e\n%  dim - \u6a21\u5f0f\u7ef4\u5ea6\n%  r  -  \u9608\u503c\u5927\u5c0f\uff0c\u4e00\u822c\u9009\u62e9r=0.1~0.25\uff0c\uff08\u7f51\u4e0a\u6d41\u4f20\u7684ApproximateEntropy\u9700\u8981\u518d\u4e58\u4ee5data\u6570\u636e\u7684\u6807\u51c6\u5dee\uff0c\u672c\u7a0b\u5e8f\u4e0d\u9700\u8981\uff0c\u53ea\u7528\u8f93\u51650.1-0.25\u95f4\u7684\u6570\u5b57\u5373\u53ef\uff09\n%  \u8f93\u51fa\uff1a\n%  ApEn\uff1a\u8fd1\u4f3c\u71b5\u503c\u5927\u5c0f\n%  (\u7f51\u4e0a\u6d41\u4f20\u7684ApproximateEntropy\u8fd8\u6709\u4e00\u4e2a\u964d\u91c7\u6837\u53c2\u6570tau\uff0c\u6b64\u51fd\u6570\u4e2d\u4e0d\u8fdb\u884c\u964d\u91c7\u6837\uff0c\u5220\u53bb\u8be5\u53c2\u6570)\n%  \u8bba\u6587\uff1aPincus S M . Approximate entropy as a measure of system complexity[J]. Proceedings of the National Academy of Sciences ,1991,88(6):2297\u20142301.\n% \u7406\u8bba\u8bb2\u89e3\uff1ahttps:\/\/zhuanlan.zhihu.com\/p\/494761890\/<\/code><\/pre>\n\n\n\n
function kSampleEnValue = kSampleEn(data, dim, r)\n\n\n% \u8ba1\u7b97data\u5e8f\u5217\u7684\u6837\u672c\u71b5\n% \u8f93\u5165\uff1a\n% data\uff1a\u4e00\u7ef4\u6570\u636e\n% dim\uff1a\u91cd\u6784\u7ef4\u6570\uff0c\u4e00\u822c\u9009\u62e91\u62162\uff0c\u4f18\u5148\u9009\u62e92\uff0c\u4e00\u822c\u4e0d\u53d6m>2\n% r\uff1a\u9608\u503c\u5927\u5c0f\uff0c\u4e00\u822c\u9009\u62e9r=0.1~0.25\uff0c\uff08\u7f51\u4e0a\u6d41\u4f20\u7684SampEn\u9700\u8981\u518d\u4e58\u4ee5data\u6570\u636e\u7684\u6807\u51c6\u5dee\uff0c\u672c\u7a0b\u5e8f\u4e0d\u9700\u8981\uff0c\u53ea\u7528\u8f93\u51650.1-0.25\u95f4\u7684\u6570\u5b57\u5373\u53ef\uff09\n% \u8f93\u51fa\uff1a\n% kSampleEnValue\uff1a\u6837\u672c\u71b5\u503c\u5927\u5c0f\n% \u8bba\u6587\uff1aRichman J S, Moorman J R. Physiological time-series analysis using approximate entropy and sample entropy[J]. American Journal of Physiology-Heart and Circulatory Physiology, 2000.\n% \u7406\u8bba\u8bb2\u89e3\uff1ahttps:\/\/zhuanlan.zhihu.com\/p\/519042619\/<\/code><\/pre>\n\n\n\n
function FuzEn = kFuzzyEntropy(data,dim,r,n)\n\n\n% \u8ba1\u7b97\u6a21\u7cca\u71b5\uff0c\u5728\u7f51\u4f20FuzzyEntropy.m\u57fa\u7840\u4e0a\u4fee\u6539\u5e76\u6ce8\u91ca\n% \u8f93\u5165\uff1a\n% data\uff1a\u4e00\u7ef4\u6570\u636e\n% dim\uff1a\u91cd\u6784\u7ef4\u6570\uff0c\u4e00\u822c\u9009\u62e91\u62162\uff0c\u4f18\u5148\u9009\u62e92\uff0c\u4e00\u822c\u4e0d\u53d6m>2\n% r\uff1a\u9608\u503c\u5927\u5c0f\uff0c\u4e00\u822c\u9009\u62e9r=0.1~0.25\uff0c\uff08\u7f51\u4e0a\u6d41\u4f20\u7684SampEn\u9700\u8981\u518d\u4e58\u4ee5data\u6570\u636e\u7684\u6807\u51c6\u5dee\uff0c\u672c\u7a0b\u5e8f\u4e0d\u9700\u8981\uff0c\u53ea\u7528\u8f93\u51650.1-0.25\u95f4\u7684\u6570\u5b57\u5373\u53ef\uff09\n% n\uff1a\u6743\u91cd\uff0c\u53d6\u8f83\u5c0f\u7684\u6574\u6570\uff0c\u59822\u6216\u80053\u3002\u63a8\u8350\u8bbe\u7f6e\u4e3a2\n% \u8f93\u51fa\uff1a\n% FuzEn\uff1a\u6a21\u7cca\u71b5\u503c\u5927\u5c0f\n\n% \u8bba\u6587\uff1aChen W , Wang Z , Xie H , et al. Characterization of Surface EMG Signal Based on Fuzzy Entropy[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2007, 15(2):266-272.\n% \u7406\u8bba\u8bb2\u89e3\uff1ahttps:\/\/zhuanlan.zhihu.com\/p\/519633544\/<\/code><\/pre>\n\n\n\n
function pe = kPermutationEntropy(data,m,t)\n\n\n% \u8ba1\u7b97\u6392\u5217\u71b5\uff0c\u5728\u7f51\u4f20PermutationEntropy.m\u57fa\u7840\u4e0a\u4fee\u6539\u5e76\u6ce8\u91ca\n% \u8f93\u5165\uff1a\n% data\uff1a\u4e00\u7ef4\u6570\u636e\n% dim\uff1a\u91cd\u6784\u7ef4\u6570\uff0c\u63a8\u8350\u503c\u4e3a3~7\uff0c\u5982\u679c\u80fd\u591f\u63a5\u53d7\u7a0b\u5e8f\u8fd0\u884c\u65f6\u95f4\u4e45\uff0c\u53ef\u4ee5\u5c06m\u8bbe\u7f6e\u5f97\u5c3d\u91cf\u5927\u4e00\u4e9b\u3002\n% t\uff1a\u65f6\u95f4\u5ef6\u8fdf\uff0c\u53d6\u6574\u6570\uff0c\u8bbe\u7f6e\u4e3a1\u7684\u60c5\u51b5\u8f83\u591a\u3002\n% \u8f93\u51fa\uff1a\n% pe\uff1a\u6392\u5217\u503c\u5927\u5c0f\n\n% \u8bba\u6587\uff1aBandt C\uff0cPompe B. Permutation entropy:a natural complexity measure for time series[J]. Physical Review Letters,2002,88(17):174102.\n% \u7406\u8bba\u8bb2\u89e3\uff1ahttps:\/\/zhuanlan.zhihu.com\/p\/519809254\/<\/code><\/pre>\n\n\n\n
function enveEn = kEnvelopeEntropy(data,fs)\n\n\n% \u8ba1\u7b97\u5305\u7edc\u71b5\n% \u8f93\u5165\uff1a\n% data\uff1a\u4e00\u7ef4\u6570\u636e\n% fs\uff1a\u91c7\u6837\u9891\u7387\uff0c\u91c7\u6837\u9891\u7387\u5373\u6bcf\u79d2\u949f\u91c7\u96c6\u7684\u6570\u636e\u70b9\u6570\uff0c\u6309\u7167\u5b9e\u9645\u60c5\u51b5\u8bbe\u7f6e\n% \u8f93\u51fa\uff1a\n% enveEn\uff1a\u5305\u7edc\u71b5\u503c\n% \u8bba\u6587\u300a\u81ea\u9002\u5e94\u6700\u5927\u76f8\u5173\u5ced\u5ea6\u89e3\u5377\u79ef\u65b9\u6cd5\u53ca\u5176\u5728\u8f74\u627f\u65e9\u671f\u6545\u969c\u8bca\u65ad\u4e2d\u7684\u5e94\u7528\u300b<\/code><\/pre>\n\n\n\n
function DE = kDispersionEn(x, m, c, d)\n% \u6563\u5e03\u71b5(Dispersion Entropy)\uff0c\u7b14\u8005\u7f16\u5199\uff0c\u7b97\u6cd5\u4ecb\u7ecd\u89c1\uff1ahttps:\/\/zhuanlan.zhihu.com\/p\/694155930\/\n% \u8f93\u5165:\n%   x: \u5355\u53d8\u91cf\u65f6\u95f4\u5e8f\u5217,\u4e00\u4e2a\u957f\u5ea6\u4e3aN\u7684\u884c\u5411\u91cf\n%   m: \u5d4c\u5165\u7ef4\u6570\n%   c: \u7c7b\u522b\u6570(\u901a\u5e38\u5efa\u8bae\u53d66)\n%   d: \u65f6\u95f4\u5ef6\u8fdf(\u901a\u5e38\u5efa\u8bae\u53d61)\n% \u8f93\u51fa:\n%   DE: \u6563\u5e03\u71b5\u503c<\/code><\/pre>\n\n\n\n
\u4e09\u3001\u5feb\u901f\u5f00\u59cb<\/h4>\n\n\n\n
1.\u8fd0\u884c\u6d4b\u8bd5\u811a\u672c<\/strong><\/p>\n\n\n\n
\u5148\u5728MATLAB\u91cc\u6253\u5f00\u4e0b\u8f7d\u597d\u7684\u6587\u4ef6\u5939\uff0c\u7136\u540e\u8fd0\u884c<\/span>testGenFeaMSE.m<\/strong>\u7a0b\u5e8f\uff0c\u7a0b\u5e8f\u8fd0\u884c\u5b8c\u6bd5\u540e\u5982\u679c\u6ca1\u62a5\u9519\uff0c\u4e14\u5de5\u4f5c\u533a\u6210\u529f\u5f97\u5230mseFea\u53d8\u91cf\uff0c\u56fe\u50cf\u6b63\u5e38\u7ed8\u5236\uff0c\u5219\u8bf4\u660e\u8fd0\u884c\u73af\u5883\u6b63\u5e38\uff0c\u7a0b\u5e8f\u6b63\u786e\u3002<\/span><\/span><\/p>\n\n\n\n
2.\u5bfc\u5165\u6570\u636e<\/span><\/strong><\/p>\n\n\n\n
\u590d\u5236\u4e00\u4e2atestGenFeaMSE<\/strong><\/span>.m<\/strong><\/span>\u7684\u6587\u4ef6\u526f\u672c\uff0c\u5728\u8fd9\u4e2a\u526f\u672c\u91cc\u505a\u5982\u4e0b\u4fee\u6539\uff1a<\/p>\n\n\n\n
\u6839\u636e\u4f60\u7684\u6587\u4ef6\u7c7b\u578b\u7684\u4e0d\u540c\uff08excel,txt,csv\u7b49\uff09\uff0c\u5c06\u6570\u636e\u5bfc\u5165MATLAB\u7684\u65b9\u6cd5\u6709\u6240\u4e0d\u540c\u3002\u540c\u5b66\u4eec\u53ef\u4ee5\u770b\u535a\u4e3b\u9488\u5bf9\u5e38\u7528\u6587\u4ef6\u7684\u5bfc\u5165\u65b9\u6cd5\u7684\u8fd9\u4e2a\u6559\u7a0b<\/a>\uff0c\u6559\u7a0b\u4e0a\u672a\u5305\u542b\u7684\u6570\u636e\u7c7b\u578b\uff0c\u5927\u5bb6\u53ef\u4ee5\u518d\u53c2\u8003\u8fd9\u4e2a\u6587\u6863<\/a>\u3002<\/p>\n\n\n\n
\u5982\u679c\u4f60\u5df2\u7ecf\u5b9e\u73b0\u4e86\u6570\u636e\u5bfc\u5165\uff0c\u8fd9\u65f6\u5019\u5e94\u8be5\u62e5\u6709\u4e86\u4e00\u4e2a\u4e00\u7ef4\u6570\u636e\u53d8\u91cf\uff0c\u8fd9\u65f6\u5019\u5c31\u53ef\u4ee5\u8c03\u7528\u51fd\u6570\u8fdb\u884c\u7279\u5f81\u63d0\u53d6\u4e86\u3002<\/p>\n\n\n\n
3.\u5b9e\u73b0\u7279\u5f81\u63d0\u53d6<\/strong><\/p>\n\n\n\n
\u53c2\u7167testGenFeaMSE<\/strong><\/span>.m<\/span>\u6587\u4ef6\u4e2d\u7b2c\u4e8c\u6b65\uff0cgenFeatureMSE\u51fd\u6570\u7684\u8c03\u7528\u65b9\u6cd5\uff0c\u6839\u636e\u5b9e\u9645\u91c7\u6837\u9891\u7387\u548c\u7279\u5f81\u63d0\u53d6\u7c7b\u578b\u8fdb\u884c\u4fee\u6539\u8bbe\u7f6e\uff0c\u8fd0\u884c\u7a0b\u5e8f\u5373\u53ef\u3002<\/span><\/p>\n\n\n\n
\u56db\u3001\u5173\u4e8e\u5b8c\u6574\u7248\u4e0e\u516c\u5f00\u7248\u4ee3\u7801<\/h4>\n\n\n\n
\u529f\u80fd<\/td>\u5b8c\u6574\u7248<\/td>\u516c\u5f00\u7248<\/td><\/tr>
\u6570\u636e\u5bfc\u5165\u3001\u53c2\u6570\u8bbe\u7f6e\u3001\u5b9e\u73b0\u7279\u5f81\u63d0\u53d6<\/td>\u221a<\/td>\u221a<\/td><\/tr>
\u8f6f\u4ef6\u5168\u90e8\u6e90\u7801\uff08\u51fd\u6570m\u6587\u4ef6\uff09<\/td>\u221a<\/td>\u00d7<\/td><\/tr>
\u7279\u5f81\u63d0\u53d6\u6570\u636e\u957f\u5ea6<\/td>\u65e0\u9650\u5236<\/td>200\u4e2a\u70b9\u4ee5\u5185<\/td><\/tr>
\u753b\u56fe\u6c34\u5370<\/td>\u65e0\u6c34\u5370<\/td>\u6709\u6c34\u5370<\/td><\/tr>
\u5bfc\u51fa\u591a\u5c3a\u5ea6\u71b5\u7279\u5f81\u6570\u636e<\/td>\u53ef\u5bfc\u51fa<\/td>\u4e0d\u53ef\u5bfc\u51fa<\/td><\/tr>
\u7ed8\u5236\u7c97\u7c92\u5ea6\u56fe\u50cf<\/td>\u221a<\/td>\u00d7<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\u4e94\u3001\u83b7\u53d6\u516c\u5f00\u7248\u7a0b\u5e8f\uff08\u9700\u4f7f\u7528\u7535\u8111\u6d4f\u89c8\u5668\u6253\u5f00\uff09<\/h4>\n\n\n\n
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\u6ce8\uff1a\u516c\u5f00\u7248\u4ee3\u7801\u9700\u4f7f\u7528MATLAB2022a\u53ca\u4ee5\u4e0a\u7248\u672c\u3002<\/p>\n\n\n\n
\u516d\u3001\u83b7\u53d6\u5b8c\u6574\u7248\u7a0b\u5e8f\uff08\u4f7f\u7528\u7535\u8111\u6d4f\u89c8\u5668\u6216\u8005\u624b\u673a\u6d4f\u89c8\u5668\u6253\u5f00\uff09<\/h4>\n\n\n\n
 \u83b7\u53d6\u901a\u9053\u4e00\uff08\u6dd8\u5b9d\uff09\uff1a<\/strong>\u70b9\u51fb\u6b64\u5904\u83b7\u53d6\u5b8c\u6574\u7248\u7a0b\u5e8f<\/a><\/p>\n\n\n\n
\u83b7\u53d6\u901a\u9053\u4e8c\uff08\u672c\u9875\u9762\uff09\uff1a<\/strong>\u70b9\u51fb\u4e0b\u9762\u201c\u7acb\u5373\u652f\u4ed8<\/span>\u201d\u6309\u94ae\uff0c\u4ed8\u6b3e\u540e\u83b7\u53d6\u5b8c\u6574\u7248\u4ee3\u7801\u4e0b\u8f7d\u94fe\u63a5\u548c\u552e\u540e\u8054\u7cfb\u65b9\u5f0f~\u672c\u901a\u9053\u5904\u4e8e\u6d4b\u8bd5\u9636\u6bb5\uff0c\u4f7f\u7528\u8be5\u901a\u9053\u53ef\u4ee5\u989d\u5916\u4f18\u60e0\uff08\u4ec5\u970053\u5143\uff09\u3002\u4ed8\u6b3e\u5b8c\u6210\u540e\u5237\u65b0\u4e00\u4e0b\u672c\u9875\u9762\u5373\u53ef\u770b\u5230\u4e0b\u8f7d\u94fe\u63a5\u3002<\/strong><\/p>\n\n\n\n
\uff08\u6ce8\u610f\u652f\u4ed8\u8df3\u8f6c\u5931\u8d25\u7684\u8bdd\uff0c\u8bf7\u4f7f\u7528\u6d4f\u89c8\u5668\u6253\u5f00\u672c\u9875\u9762\uff09<\/span><\/p>\n\n\n
\n\t\t\t\t\u60a8\u9700\u8981\u5148\u652f\u4ed8 53\u5143<\/b> \u624d\u80fd\u67e5\u770b\u6b64\u5904\u5185\u5bb9\uff01\u7acb\u5373\u652f\u4ed8<\/a>\n\t\t\t<\/div><\/p>\n\n\n\n
\u4e03\u3001\u5b8c\u6574\u7248\u4ee3\u7801\u91cd\u8981\u66f4\u65b0<\/h4>\n\n\n\n
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\u516b\u3001\u5e38\u89c1\u95ee\u9898<\/h4>\n\n\n\n
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