代码搜索:sequence
找到约 10,000 项符合「sequence」的源代码
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www.eeworm.com/read/335796/12498147
m fftseq.m
function[M,m,df]=fftseq(m,ts,df)
% [M,m,df]=fftseq(m,ts,df)
% [M,m,df]=fftseq(m,ts)
%FFTSEQ Generates M,the FFT of the sequence m.
% The sequence is zero-
www.eeworm.com/read/335381/12531154
htm sea_8558.htm
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www.eeworm.com/read/335381/12531271
htm sea_5086.htm
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www.eeworm.com/read/334931/12561255
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
www.eeworm.com/read/334931/12561258
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
www.eeworm.com/read/334931/12561377
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
www.eeworm.com/read/334931/12561384
m program_5_4.m
% Program 5_4
% 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
www.eeworm.com/read/334931/12561491
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
www.eeworm.com/read/334931/12561494
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
www.eeworm.com/read/334931/12561720
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