代码搜索:Convolution

找到约 1,402 项符合「Convolution」的源代码

代码结果 1,402
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h convdec.h

//***************************************************************************** // ConvDec.h Prototypes of convolution-decimation froutines //**************************************
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m program_5_4.m

% Program 5_4 % Linear Convolution Via the DFT % % Read in the two sequences x = input('Type in the first sequence = '); h = input('Type in the second sequence = '); % Determine the length of th
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m program_5_4.m

% Program 5_4 % Linear Convolution Via the DFT % % Read in the two sequences x = input('Type in the first sequence = '); h = input('Type in the second sequence = '); % Determine the length of th
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asv self_conv.asv

function [ y ] = self_conv ( x, h ) % -------------------------------------------------------------- % The function of compute the convolution sum y[n] = x[n] * h[n] % 求离散序列卷积函数 % ----------------
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asv conv_computer.asv

% ------------------------------------------------------------------ % conv_computer.m % Computer the convolution sum and the convolution integral program % 运行脚本程序 % ------------------------------
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m self_conv.m

function [ y ] = self_conv ( x, h ) % -------------------------------------------------------------- % The function of compute the convolution sum y[n] = x[n] * h[n] % 求离散序列卷积函数 % ----------------
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m conv_computer.m

% ------------------------------------------------------------------ % conv_computer.m % Computer the convolution sum and the convolution integral program % 运行脚本程序 % ------------------------------
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m exa031101_fftfilt.m

%---------------------------------------------------------------------------- % exa031001_fftfilt.m, for example 3.11.1 % to test fftfilt.m,and to finish the convolution of a long sequence with %
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pse readme.pse

Implementation Notes on Point Symmetric Extension Matthew Leditschke Motorola Australian Research Centre The point symmetric extension technique (see document number wg
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m aconv2.m

function out = aconv2(img,f1,f2,s1,s2) % aconv2 -- 2-D seperable convolution % Usage % out = aconv2(img,f1,f2,s1,s2); % Inputs % img m x n image, % f1 column filter % f2