代码搜索:sequence

找到约 10,000 项符合「sequence」的源代码

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m exa031101_fftfilt.m

%---------------------------------------------------------------------------- % exa031001_fftfilt.m, for example 3.11.1 % to test fftfilt.m,and to finish the convolution of a long sequence with %
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m program_2_8.m

% Program 2_8 % Computation of Autocorrelation of a % Noise Corrupted Sinusoidal Sequence % N = 96; n = 1:N; x = cos(pi*0.25*n); % Generate the sinusoidal sequence d = rand(1,N) - 0.5; % Genera
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m program_2_7.m

% Program 2_7 % Computation of cross-correlation sequence % x = input('Type in the reference sequence = '); y = input('Type in the second sequence = '); % Compute the correlation sequence n1 = l
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m program_3_5.m

% Program 3_5 % Linear Convolution Via the DFT % % Read in the two sequences x = input('Type in the first sequence = '); h = input('Type in the second sequence = '); % Determine the length of th
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m program_3_6.m

% Program 3_6 % Illustration of Overlap-Add Method % % Generate the noise sequence R = 64; d = rand(R,1)-0.5; % Generate the uncorrupted sequence and add noise for m = 1:1:R; s(m) = 2*(m-1)*(
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m program_13_2.m

% Program 13_2 % Illustration of Down-Sampling by an Integer Factor % clf; N = input('Output length = '); M = input('Down-sampling Factor = '); fo = input('Input signal frequency = '); % Genera
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m program_13_1.m

% Program 13_1 % Illustration of Up-Sampling by an Integer Factor % clf; N = input('Input length = '); L = input('Up-sampling Factor = '); fo = input('Input signal frequency = '); % Generate t
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m program_2_8.m

% Program 2_8 % Computation of Autocorrelation of a % Noise Corrupted Sinusoidal Sequence % N = 96; n = 1:N; x = cos(pi*0.25*n); % Generate the sinusoidal sequence d = rand(1,N) - 0.5; % Genera
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m program_2_7.m

% Program 2_7 % Computation of Cross-correlation Sequence % x = input('Type in the reference sequence = '); y = input('Type in the second sequence = '); % Compute the correlation sequence n1 = l
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m program_5_5.m

% Program 5_5 % Illustration of Overlap-Add Method % % Generate the noise sequence R = 64; d = rand(R,1)-0.5; % Generate the uncorrupted sequence and add noise k = 0:R-1; s = 2*k.*(0.9.^k); x