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/159329/10669589
c fir2.c
#include
#define NROF_SAMPLES 400
void
initialize( char *a, char *b )
{
int i;
for(i = 0; i < 8; i++)
b[i] = i - 4;
for(i = 0; i < 8; i++)
a[i] = 0;
www.eeworm.com/read/255577/12072640
m f_blockconv.m
function y = f_blockconv (h,x)
% F_BLOCKCONV: Fast linear block convolution of two signals
%
% Usage: y = f_blockconv (h,x)
%
% Inputs:
% h = vector of length L containing first signa
www.eeworm.com/read/230384/14291257
m f_blockconv.m
function y = f_blockconv (h,x)
% F_BLOCKCONV: Fast linear block convolution of two signals
%
% Usage: y = f_blockconv (h,x)
%
% Inputs:
% h = vector of length L containing first signa
www.eeworm.com/read/367645/9738918
m pitch_syn.m
function [e0,buf]=pitch_syn(e0,buf,index,pgain)
global szsubf pdlyindx sub_cnt del_intv pcode TRUE FALSE
% Decode pitch code obtained from delta search into real index pointing to pitch delay ta
www.eeworm.com/read/414010/11133496
asm circonv.asm
************************************************************
*Circular Convolution
*-----------------------------------------------------------
*Objective:
* Implement circular convolution by circ
www.eeworm.com/read/414009/11133519
asm circonv.asm
************************************************************
*Circular Convolution
*-----------------------------------------------------------
*Objective:
* Implement circular convolution by circ
www.eeworm.com/read/294145/3920274
readme
Convolution
===========
This radio tests the convolution-module.
Slot 0: synchronisation
Slot 1: Random-data uplink with the convolution
www.eeworm.com/read/350746/10713471
m conv2br.m
function y = conv2br(varargin)
% CONV2BR 2D Convolution with border repetition
%
% y = CONV2BR(x, kernel) performs the 2D convolution of the image x and
% the 2D (or 1D) kernel.
%
% y
www.eeworm.com/read/297947/7984250
m perform_blurring.m
function M = perform_blurring(M, sigma, options)
% perform_blurring - gaussian blurs an image
%
% M = perform_blurring(M, sigma, options);
%
% M is the original data
% sigma is the width of blu
www.eeworm.com/read/474583/6812916
m perform_blurring.m
function M = perform_blurring(M, sigma, options)
% perform_blurring - gaussian blurs an image
%
% M = perform_blurring(M, sigma, options);
%
% M is the original data
% sigma is the width of blu