代码搜索：Sampling
找到约 3,969 项符合「Sampling」的源代码
代码结果 3,969
www.eeworm.com/read/364264/9916671
m wheel.m
function [indid,indindex,popexpected,popnormfitness]=wheel(pop,params,state,nsample,toavoid,type)
%WHEEL Sampling of GPLAB individuals by spinning a wheel.
% WHEEL(POP,PARAMS,STATE,NSAMPLE,TOAV
www.eeworm.com/read/364264/9916776
m sus.m
function [indid,indindex,popexpected,popnormfitness]=sus(pop,params,state,nsample,toavoid)
%SUS Sampling of GPLAB individuals by the SUS method.
% SUS(POP,PARAMS,STATE,NSAMPLE,TOAVOID) returns
www.eeworm.com/read/167781/9952889
m program_8_10.m
% Program 8_10
% Spectral Analysis Using the DFT
%
N = input('Type in the length of DFT = ');
T = input('Type in the sampling period = ');
freq = input('Type in the sinusoid's frequency = ');
k
www.eeworm.com/read/165851/10049161
m program_8_10.m
% Program 8_10
% Spectral Analysis Using the DFT
%
N = input('Type in the length of DFT = ');
T = input('Type in the sampling period = ');
freq = input('Type in the sinusoid's frequency = ');
k
www.eeworm.com/read/163777/10145825
m program_8_10.m
% Program 8_10
% Spectral Analysis Using the DFT
%
N = input('Type in the length of DFT = ');
T = input('Type in the sampling period = ');
freq = input('Type in the sinusoid's frequency = ');
k
www.eeworm.com/read/359237/10160235
m cp0201_2ppm_th.m
%
% FUNCTION 2.4 : "cp0201_2PPM_TH"
%
% Introduces the TH code given by 'THcode'
% and implements binary PPM modulation
% 'seq' is the input binary stream
% 'fc' is the sampling frequency for th
www.eeworm.com/read/359237/10160242
asv cp0201_2ppm_th.asv
%
% FUNCTION 2.4 : "cp0201_2PPM_TH"
%
% Introduces the TH code given by 'THcode'
% and implements binary PPM modulation
% 'seq' is the input binary stream
% 'fc' is the sampling frequency for th
www.eeworm.com/read/280429/10331442
m speccorr.m
%spectrum correction assemble
% the sampling interval is 1 s (or unitary)
%Input: SpecVec--Discrte Fourier Spectrum from FFT
% PeakIdx--the peak index, noting the matrix in MatLab start fro
www.eeworm.com/read/425546/10349073
m demhmc2.m
%DEMHMC2 Demonstrate Bayesian regression with Hybrid Monte Carlo sampling.
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by samplin
www.eeworm.com/read/160490/10527032
m cp0402_2pam_th.m
%
% FUNCTION 4.1 : "cp0402_2PAM_TH"
%
% Introduces the DS code given by 'DScode'
% and implements binary PAM modulation
% 'seq' is the input binary stream
% 'fc' is the sampling frequency for th