\u6458\u8981\uff1a\u4fe1\u53f7\u4e0e\u7cfb\u7edf\u662f\u7535\u6c14\u5de5\u7a0b\u3001\u901a\u4fe1\u5de5\u7a0b\u548c\u63a7\u5236\u5de5\u7a0b\u7b49\u9886\u57df\u7684\u6838\u5fc3\u8bfe\u7a0b\uff0c\u6db5\u76d6\u4e86\u4fe1\u53f7\u7684\u8868\u793a\u3001\u53d8\u6362\u3001\u7cfb\u7edf\u5206\u6790\u53ca\u6ee4\u6ce2\u7b49\u57fa\u672c\u6982\u5ff5\u3002MATLAB \u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u5de5\u5177\uff0c\u5e7f\u6cdb\u7528\u4e8e\u4fe1\u53f7\u4e0e\u7cfb\u7edf\u7684\u6559\u5b66\u548c\u7814\u7a76\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u4fe1\u53f7\u5904\u7406\u5de5\u5177\u7bb1\u548c\u53ef\u89c6\u5316\u529f\u80fd\u3002\u4ee5\u4e0b\u662f 50 \u4e2a MATLAB \u4ee3\u7801\u793a\u4f8b\uff0c\u65e8\u5728\u901a\u8fc7\u5b9e\u8df5\u5e2e\u52a9\u4f60\u6df1\u5165\u7406\u89e3\u4fe1\u53f7\u4e0e\u7cfb\u7edf\u7684\u7cbe\u9ad3\u3002\u8fd9\u4e9b\u793a\u4f8b\u8986\u76d6\u4e86\u4fe1\u53f7\u751f\u6210\u3001\u65f6\u57df\u548c\u9891\u57df\u5206\u6790\u3001\u7cfb\u7edf\u54cd\u5e94\u3001\u6ee4\u6ce2\u5668\u8bbe\u8ba1\u7b49\u5173\u952e\u4e3b\u9898\u3002\u6bcf\u4e2a\u793a\u4f8b\u90fd\u5305\u542b\u7b80\u8981\u8bf4\u660e\u548c\u6838\u5fc3\u4ee3\u7801\uff0c\u6ce8\u91ca\u89e3\u91ca\u4e86\u5173\u952e\u6b65\u9aa4\u548c\u7406\u8bba\u80cc\u666f\u3002<\/p>\n
\u7531\u4e8e\u7bc7\u5e45\u9650\u5236\uff0c\u6bcf\u4e2a\u4ee3\u7801\u793a\u4f8b\u90fd\u4ee5\u6838\u5fc3\u529f\u80fd\u4e3a\u4e3b\uff0c\u5b8c\u6574\u8fd0\u884c\u53ef\u80fd\u9700\u8981 MATLAB \u73af\u5883\u548c\u76f8\u5173\u5de5\u5177\u7bb1\uff08\u5982 Signal Processing Toolbox\uff09\u3002\u8fd9\u4e9b\u4ee3\u7801\u9002\u5408\u521d\u5b66\u8005\u548c\u4e2d\u7ea7\u7528\u6237\uff0c\u5e2e\u52a9\u4f60\u4ece\u57fa\u7840\u5230\u8fdb\u9636\u638c\u63e1\u4fe1\u53f7\u4e0e\u7cfb\u7edf\u7684\u6838\u5fc3\u6982\u5ff5\u3002\u5982\u679c\u4f60\u6709\u7279\u5b9a\u9700\u6c42\u6216\u9700\u8981\u66f4\u8be6\u7ec6\u7684\u89e3\u91ca\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u8ba8\u8bba\u3002<\/p>\n
% \u53c2\u6570\u8bbe\u7f6e
\nfs = 1000; % \u91c7\u6837\u9891\u7387 (Hz)
\nt = 0:1\/fs:1; % \u65f6\u95f4\u5411\u91cf (1\u79d2)
\nf = 5; % \u4fe1\u53f7\u9891\u7387 (Hz)
\nA = 1; % \u5e45\u5ea6<\/p>\n
% \u751f\u6210\u6b63\u5f26\u4fe1\u53f7
\nx = A * sin(2 * pi * f * t);<\/p>\n
% \u7ed8\u56fe
\nplot(t, x);
\nxlabel(\\’Time (s)\\’);
\nylabel(\\’Amplitude\\’);
\ntitle(\\’Sinusoidal Signal (5 Hz)\\’);
\ngrid on;<\/p>\n
fs = 1000; % \u91c7\u6837\u9891\u7387
\nt = 0:1\/fs:1; % \u65f6\u95f4\u5411\u91cf
\nf = 5; % \u9891\u7387 (Hz)<\/p>\n
% \u751f\u6210\u65b9\u6ce2
\nx = square(2 * pi * f * t);<\/p>\n
% \u7ed8\u56fe
\nplot(t, x);
\nxlabel(\\’Time (s)\\’);
\nylabel(\\’Amplitude\\’);
\ntitle(\\’Square Wave (5 Hz)\\’);
\ngrid on;<\/p>\n
fs = 1000;
\nt = 0:1\/fs:1;
\nf1 = 5; % \u7b2c\u4e00\u4e2a\u9891\u7387
\nf2 = 10; % \u7b2c\u4e8c\u4e2a\u9891\u7387<\/p>\n
% \u751f\u6210\u5e76\u53e0\u52a0\u4fe1\u53f7
\nx1 = sin(2 * pi * f1 * t);
\nx2 = sin(2 * pi * f2 * t);
\nx = x1 + x2;<\/p>\n
% \u7ed8\u56fe
\nplot(t, x);
\nxlabel(\\’Time (s)\\’);
\nylabel(\\’Amplitude\\’);
\ntitle(\\’Superimposed Sinusoids (5 Hz + 10 Hz)\\’);
\ngrid on;<\/p>\n
fs = 1000;
\nt = -1:1\/fs:1;
\nf = 5;<\/p>\n
% \u751f\u6210\u539f\u59cb\u4fe1\u53f7
\nx = sin(2 * pi * f * t);
\nt_shifted = t + 0.2; % \u65f6\u95f4\u53f3\u79fb 0.2 \u79d2<\/p>\n
% \u7ed8\u56fe
\nplot(t, x, \\’b\\’, t_shifted, x, \\’r–\\’);
\nxlabel(\\’Time (s)\\’);
\nylabel(\\’Amplitude\\’);
\ntitle(\\’Time-Shifted Sinusoid (0.2s Shift)\\’);
\nlegend(\\’Original\\’, \\’Shifted\\’);
\ngrid on;<\/p>\n
fs = 1000;
\nt = 0:1\/fs:1;
\nf = 5;<\/p>\n
% \u539f\u59cb\u4fe1\u53f7
\nx = sin(2 * pi * f * t);
\n% \u5e45\u5ea6\u7f29\u653e (2\u500d)
\nx_amp_scaled = 2 * x;
\n% \u65f6\u95f4\u7f29\u653e (2\u500d\u9891\u7387)
\nt_time_scaled = t \/ 2;<\/p>\n
% \u7ed8\u56fe
\nsubplot(2,1,1);
\nplot(t, x, \\’b\\’, t, x_amp_scaled, \\’r–\\’);
\nxlabel(\\’Time (s)\\’);
\nylabel(\\’Amplitude\\’);
\ntitle(\\’Amplitude Scaling (2x)\\’);
\nlegend(\\’Original\\’, \\’Scaled\\’);
\ngrid on;<\/p>\n
subplot(2,1,2);
\nplot(t, x, \\’b\\’, t_time_scaled, x, \\’r–\\’);
\nxlabel(\\’Time (s)\\’);
\nylabel(\\’Amplitude\\’);
\ntitle(\\’Time Scaling (2x Frequency)\\’);
\nlegend(\\’Original\\’, \\’Scaled\\’);
\ngrid on;<\/p>\n
fs = 1000;
\nt = 0:1\/fs:1;
\nf = 5;
\nx = sin(2 * pi * f * t);<\/p>\n
% \u8ba1\u7b97\u4fe1\u53f7\u80fd\u91cf
\nenergy = sum(x.^2) \/ fs;
\ndisp([\\’Signal Energy: \\’, num2str(energy)]);<\/p>\n
fs = 1000;
\nt = 0:1\/fs:1;
\nf = 5;
\nx = sin(2 * pi * f * t);<\/p>\n
% \u8ba1\u7b97\u5e73\u5747\u529f\u7387
\npower = mean(x.^2);
\ndisp([\\’Signal Power: \\’, num2str(power)]);<\/p>\n
fs = 1000;
\nt = 0:1\/fs:1;
\nf = 5;
\nx = sin(2 * pi * f * t);<\/p>\n
% \u8ba1\u7b97\u81ea\u76f8\u5173
\n[autocorr, lags] = xcorr(x, \\’normalized\\’);<\/p>\n
% \u7ed8\u56fe
\nplot(lags\/fs, autocorr);
\nxlabel(\\’Lag (s)\\’);
\nylabel(\\’Autocorrelation\\’);
\ntitle(\\’Autocorrelation of S<\/p>\n","protected":false},"excerpt":{"rendered":"
\u6587\u7ae0\u6d4f\u89c8\u9605\u8bfb805\u6b21\uff0c\u70b9\u8d5e23\u6b21\uff0c\u6536\u85cf21\u6b21\u3002\u4ee5\u4e0a 50 \u4e2a MATLAB \u4ee3\u7801\u793a\u4f8b\u6db5\u76d6\u4e86\u4fe1\u53f7\u4e0e\u7cfb\u7edf\u7684\u6838\u5fc3\u4e3b\u9898\uff0c\u5305\u62ec\u4fe1\u53f7\u751f\u6210\u3001\u65f6\u57df\u548c\u9891\u57df\u5206\u6790\u3001\u7cfb\u7edf\u54cd\u5e94\u3001\u6ee4\u6ce2\u5668\u8bbe\u8ba1\u3001\u91c7\u6837\u3001\u968f\u673a\u4fe1\u53f7\u5904\u7406\u548c\u9ad8\u7ea7\u4fe1\u53f7\u5904\u7406\u6280\u672f\u3002<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[1284,50,190,3057],"topic":[],"class_list":["post-35769","post","type-post","status-publish","format-standard","hentry","category-server","tag-matlab","tag-50","tag-190","tag-3057"],"yoast_head":"\n