代码搜索：Generates
找到约 10,000 项符合「Generates」的源代码
代码结果 10,000
www.eeworm.com/read/414455/11111574
m bdt_f527.m
% MATLAB script that generates the probability of error versus the signal-to-noise ratio
initial_snr=0;
final_snr=15;
snr_step=1;
tolerance=1e-7; % tolerance used for the integration
min
www.eeworm.com/read/268251/11148500
m h_gen.m
function [h,A,B]=h_gen(rows,cols)
%%%%%%%%%%%%define dimension of the parity check matrix%%%%%%%%
% rows=100;
% cols=200;
h=gen_ldpc(rows,cols);%generates a 100 x 200 H matrix( the IG parity
www.eeworm.com/read/268231/11148864
m bdt_f529.m
% MATLAB script that generates the probability of error versus the signal to noise ratio
initial_snr=0;
final_snr=15;
snr_step=1;
tolerance=1e-7; % Tolerance used for the integration
minus_in
www.eeworm.com/read/268231/11148874
m bdt_f527.m
% MATLAB script that generates the probability of error versus the signal to noise ratio
initial_snr=0;
final_snr=15;
snr_step=1;
tolerance=1e-7; % Tolerance used for the integration
minus_in
www.eeworm.com/read/412611/11190583
m fmlin.m
function [y,iflaw]=fmlin(N,fnormi,fnormf,t0);
%FMLIN Signal with linear frequency modulation.
% [Y,IFLAW]=FMLIN(N,FNORMI,FNORMF,T0) generates a linear frequency
% modulation.
% The phase of this
www.eeworm.com/read/412611/11190742
m tfrideal.m
function [tfr,t,f]=tfrideal(iflaws,t,N,trace)
%TFRIDEAL Ideal TFR for given instantaneous frequency laws.
% [TFR,T,F]=TFRIDEAL(IFLAWS,T,N,TRACE) generates the ideal
% time-frequency representation
www.eeworm.com/read/265721/11255567
m histndim.m
function [v,t]=histndim(x,b,mode)
%HISTNDIM - generates and/or plots an n-dimensional histogram
%
% Inputs: X(m,d) is the input data: each row is one d-dimensiona data point
% B(3,d)
www.eeworm.com/read/336113/12476288
m mmse_mse_calc.m
%Function Declaration:
function ms_error=MMSE_MSE_calc(X,H,Y,Rgg,variance);
%This function generates mean squared error for the the MMSE estimator..
%EVALUATION OF Hmmse
%Hmmse=F*Rgg*inv(Rgy)*Y;
www.eeworm.com/read/335805/12497568
m bdt_f527.m
% MATLAB script that generates the probability of error versus the signal-to-noise ratio
initial_snr=0;
final_snr=15;
snr_step=1;
tolerance=1e-7; % tolerance used for the integration
min
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-