代码搜索：Generates

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m kernel.m

function krn = kernel (fwhm, style) % KERNEL Create a 2D kernel with the specified full-width half-maximum % % kern = kernel (fwhm [, style]) % % generates a square matrix containing a 2-D functio
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www.eeworm.com/read/318176/13484216

cpp crsetup.cpp

/* * Cramer-Shoup Public Key Cryptography * * This program generates the common values q, p, g1 and g2 to a file * common.crs * * Requires: big.cpp * * Copyright (c) 1999 Sha
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www.eeworm.com/read/316286/13525742

m ls_mse_calc.m

%Function Declaration: function ms_error=LS_MSE_calc(X,H,Y); %This function generates mean squared error for the the LS estimator.. %EVALUATION OF Hls Hls =(inv(X)) * Y; %The simplest of 'em all
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www.eeworm.com/read/313963/13577810

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 min
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www.eeworm.com/read/313956/13578512

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
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www.eeworm.com/read/313436/13587611

m ls_mse_calc.m

%Function Declaration: function ms_error=LS_MSE_calc(X,H,Y); %This function generates mean squared error for the the LS estimator.. %EVALUATION OF Hls Hls =(inv(X)) * Y; %The simplest of 'em all
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www.eeworm.com/read/313415/13588408

m ls_mse_calc.m

%Function Declaration: function ms_error=LS_MSE_calc(X,H,Y); %This function generates mean squared error for the the LS estimator.. %EVALUATION OF Hls Hls =(inv(X)) * Y; %The simplest of 'em all
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www.eeworm.com/read/312163/13617588

m gsamp.m

function X=gsamp(varargin) % GSAMP Generates sample from Gaussian distribution. % % Synopsis: % X = gsamp( Mean, Cov, num_data ) % X = gsamp( model, num_data ) % % Description: % X = gsamp(Mean,Co
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www.eeworm.com/read/312163/13617606

m dsamp.m

function X = dsamp(Px,num_data) % DSAMP Generates samples from discrete distribution. % % Synopsis: % X = dsamp(Px,num_data) % % Input: % Px [dim x 1] Discrete probability distribution; it must %
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www.eeworm.com/read/308787/13692021

m altes.m

function x=altes(N,fmin,fmax,alpha) ; %ALTES Altes signal in time domain. % X=ALTES(N,FMIN,FMAX,ALPHA) generates the Altes signal in % the time domain. % % N : number of points in time % FMIN
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