代码搜索:Convolution

找到约 1,402 项符合「Convolution」的源代码

代码结果 1,402
www.eeworm.com/read/112799/15476544

c blockcon.c

/* blockcon.c - block convolution by overlap-add method */ void conv(); void blockcon(M, h, L, x, y, ytemp) double *h, *x, *y, *ytemp; /* ytemp is tail of previous block */ int M,
www.eeworm.com/read/108859/15573837

m cnvpl35n.m

function cnvplt35(xs,ys,tx,ty,ts) %Support file for CONVPLOT for use with MATLAB 3.5 % ADSP Toolbox: Version 2.0 % For use with "Analog and Digital Signal Processing", 2nd Ed. % Published by
www.eeworm.com/read/106251/15642580

h encode.h

/***************************************************************************************** * encode.h * * jiangle 2004/05 * * header of encode.c * *achieve encode and decode convolution ****
www.eeworm.com/read/101557/15827376

m comcdcon.m

function [ret,x0,str,ts,xts]=comcdcon(t,x,u,flag); %COMCDCON is the M-file description of the SIMULINK system named COMCDCON. % The block-diagram can be displayed by typing: COMCDCON. % % SYS=COMC
www.eeworm.com/read/365862/9842949

m gmm_subtract.m

function gr = gmm_subtract(g1, g2) % Convolution for subtraction of two random variables: xr = x1-x2 % Same as gmm_correlate. D = size(g1.x, 1); M = size(g1.x, 2); N = size(g2.x, 2); R = M*N;
www.eeworm.com/read/365862/9843060

m gmm_addition.m

function gr = gmm_addition(g1, g2) % Convolution for addition of two random variables: xr = x1+x2 % Same as gmm_convolve. D = size(g1.x, 1); M = size(g1.x, 2); N = size(g2.x, 2); R = M*N; g
www.eeworm.com/read/351998/10588956

m gmm_subtract.m

function gr = gmm_subtract(g1, g2) % Convolution for subtraction of two random variables: xr = x1-x2 % Same as gmm_correlate. D = size(g1.x, 1); M = size(g1.x, 2); N = size(g2.x, 2); R = M*N;
www.eeworm.com/read/351998/10589091

m gmm_addition.m

function gr = gmm_addition(g1, g2) % Convolution for addition of two random variables: xr = x1+x2 % Same as gmm_convolve. D = size(g1.x, 1); M = size(g1.x, 2); N = size(g2.x, 2); R = M*N; g
www.eeworm.com/read/270715/11029123

m co_dec.m

function output = co_dec( input, mode ) % % convolution code and viterbi soft decode according to 'mode' % trellis = poly2trellis( 7, [ 171 133 ] ); % trellis structure of (2 1 7) convolution c
www.eeworm.com/read/457960/7314911

lkf debug.lkf

-z -c -m"./Debug/Circular Convolution.map" -o"./Debug/Circular Convolution.out" -w -x -i"C:/CCStudio_v3.1/C6000/rtdx/lib" -i"C:/CCStudio_v3.1/C6000/csl/lib" -i"C:/CCStudio_v3.1/C6000/xdais/lib" -i"C:/