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/262950/11382829
cpp ip.cpp
#include "stdafx.h"
#include
#include "dibapi.h"
// Definitions required for convolution image filtering
#define KERNELCOLS 3
#define KERNELROWS 3
#define KERNELELEMENTS (KERNELCOLS
www.eeworm.com/read/262950/11383297
cpp ip.cpp
#include "stdafx.h"
#include
#include "dibapi.h"
// Definitions required for convolution image filtering
#define KERNELCOLS 3
#define KERNELROWS 3
#define KERNELELEMENTS (KERNELCOLS
www.eeworm.com/read/262950/11383668
cpp ip.cpp
#include "stdafx.h"
#include
#include "dibapi.h"
// Definitions required for convolution image filtering
#define KERNELCOLS 3
#define KERNELROWS 3
#define KERNELELEMENTS (KERNELCOLS
www.eeworm.com/read/155597/11861426
cpp ip.cpp
#include "stdafx.h"
#include
#include "dibapi.h"
// Definitions required for convolution image filtering
#define KERNELCOLS 3
#define KERNELROWS 3
#define KERNELELEMENTS (KERNELCOLS
www.eeworm.com/read/155597/11861609
cpp ip.cpp
#include "stdafx.h"
#include
#include "dibapi.h"
// Definitions required for convolution image filtering
#define KERNELCOLS 3
#define KERNELROWS 3
#define KERNELELEMENTS (KERNELCOLS
www.eeworm.com/read/231730/14222618
cpp ip.cpp
#include "stdafx.h"
#include
#include "dibapi.h"
// Definitions required for convolution image filtering
#define KERNELCOLS 3
#define KERNELROWS 3
#define KERNELELEMENTS (KERNELCOLS
www.eeworm.com/read/231727/14222701
cpp ip.cpp
#include "stdafx.h"
#include
#include "dibapi.h"
// Definitions required for convolution image filtering
#define KERNELCOLS 3
#define KERNELROWS 3
#define KERNELELEMENTS (KERNELCOLS
www.eeworm.com/read/168081/5448514
pas boardproperties.pas
{ Get the convolution filter used by the pieces. Since they will all use the
same one, just find the first piece available and return its filter name. }
function TChessboard.GetPieceFilter: Short
www.eeworm.com/read/365493/2896885
m cconv.m
function y = cconv(x, h)
% lconv -- perform a circular convolution with ffts
%
% Usage
% y = cconv(x, h)
%
% Inputs
% x, h input vectors (must have the same length)
%
% Outputs
% y
www.eeworm.com/read/395721/8156008
cpp ip.cpp
#include "stdafx.h"
#include
#include "dibapi.h"
// Definitions required for convolution image filtering
#define KERNELCOLS 3
#define KERNELROWS 3
#define KERNELELEMENTS (KERNELCOLS