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/416230/11037576

m circonv.m

function y = circonv(x1, x2) % Develops a sequence y obtained by the circular % convolution of two equal-length sequences x1 and x2 L1 = length(x1); L2 = length(x2); if L1 ~= L2, error('Sequences
www.eeworm.com/read/459895/7263768

m corr_conv.m

%Compare the calculations of convolution and correlation of two arrays.. x = [1 2 4 -2 3 -6]; y = [-1 2 4 -3 5]; xy_corr = xcorr(x,y); y = -y; y = fliplr(y); xy_conv = conv(x,y); lth = max(le
www.eeworm.com/read/448529/7532053

m ex05230b.m

% Chapter 05: Example 5.23 High speed convolution % part b) Plotting of saved data % run after part a) load times.txt -ascii; conv_time=times(1,:); hsconv_time=tim
www.eeworm.com/read/448259/7535710

m circconv.m

function [y,n]=circconv(x1,x2,N) % implement circle convolution of x1 and x2 % x1 and x2 are input sequences of n1,n2
www.eeworm.com/read/439815/7701203

m convnrz.m

% Convolution of NRZ rectangular pulses function convnrz(action) if (nargin
www.eeworm.com/read/437573/7745739

win makefile.win

# Project: conv2d # Makefile created by Dev-C++ 4.9.9.2 CPP = g++.exe CC = gcc.exe WINDRES = windres.exe RES = OBJ = convolution.o main.o Timer.o $(RES) LINKOBJ = convolution.o main.o
www.eeworm.com/read/299923/7820064

m ex05230b.m

% Chapter 05: Example 5.23 High speed convolution % part b) Plotting of saved data % run after part a) load times.txt -ascii; conv_time=times(1,:); hsconv_time=tim
www.eeworm.com/read/196830/8055502

m ex05230b.m

% Chapter 05: Example 5.23 High speed convolution % part b) Plotting of saved data % run after part a) load times.txt -ascii; conv_time=times(1,:); hsconv_time=tim
www.eeworm.com/read/196069/8116354

m ex05230b.m

% Chapter 05: Example 5.23 High speed convolution % part b) Plotting of saved data % run after part a) load times.txt -ascii; conv_time=times(1,:); hsconv_time=tim
www.eeworm.com/read/245849/12778045

m myconvmtx.m

function matrix=myconvmtx(w,n) % Function creates convolution matrix of the form % | w1 w2 w3 0 0 0| % | 0 w1 w2 w3 0 0| % | 0 0 w1 w2 w3 0| % | 0 0 0 w