代码搜索：CMapX
找到约 154 项符合「CMapX」的源代码
代码结果 154
www.eeworm.com/read/477304/6741463
m cyclespin2.m
function s = cyclespin2(x,i,j)
[l1,l2] = size(x);
z = x((l1+1-i):l1,:);
z(i+1:l1,:) = x(1:(l1-i),:);
s = z(:,(l2+1-j):l2);
s(:,j+1:l2) = z(:,1:(l2-j));
% Written by Maureen Clerc and Jerome
www.eeworm.com/read/477304/6741486
m normnoise.m
function [y,coef] = NormNoise(x,qmf)
% NormNoise -- Estimates noise level, Normalize signal to noise level 1
% Usage
% [y,coef] = NormNoise(x,qmf)
% Inputs
% x 1-d signal
% qmf
www.eeworm.com/read/336887/12411332
m mm_rwt.m
function maxmap = MM_RWT(rwt,par)
% MM_RWT -- Modulus Maxima of a Real Wavelet Transform
% Usage
% maxmap = MM_RWT(rwt,par)
% Inputs
% rwt Output of RWT
% par optional. If prese
www.eeworm.com/read/170938/5402496
m meyerhath.m
function [hath] = Meyerhath(omega);
omega = modulo(omega+pi,2*pi)-pi;
n = length(omega);
hath = zeros(1,n);
supp = find((abs(omega) >= pi/3) & (abs(omega)
www.eeworm.com/read/170938/5402518
m wt09fig08.m
% CAPTION
fprintf('\n');
disp('Figure 9.8')
disp('The grid shows the approximate support of square overlapping ')
disp('windows in the best local cosine basis, computed with an l^1 cost.')
disp('
www.eeworm.com/read/459593/7273120
m wiener2.m
function out = Wiener2(Noisy,in,sigma)
% Wiener -- Wiener filter for images.
% Usage
% out = Wiener2(Noisy,in,sigma)
% Inputs
% Noisy Noisy input signal.
% in Original signal.
% sigm
www.eeworm.com/read/246803/12704304
m wiener2.m
function out = Wiener2(Noisy,in,sigma)
% Wiener -- Wiener filter for images.
% Usage
% out = Wiener2(Noisy,in,sigma)
% Inputs
% Noisy Noisy input signal.
% in Original signal.
% sigm
www.eeworm.com/read/138743/5813942
m wt07fig23.m
%CAPTION
fprintf('\n');
disp('Figure 7.23')
disp('Multiresolution approximations a_j[n,m] of an image')
disp('at scales 2^j, for 5>j>0.')
close all;
global WLVERBOSE;
WLVERBOSE='No';
Image =
www.eeworm.com/read/138743/5813943
m newplotspikes.m
function newPlotSpikes(base,t,x,length)
% newPlotSpikes -- Plot 1-d signal as baseline with series of spikes
% Usage
% newPlotSpikes(base,t,x[,length])
% Inputs
% base number, baseline
www.eeworm.com/read/477304/6741473
m wiener2.m
function out = Wiener2(Noisy,in,sigma)
% Wiener -- Wiener filter for images.
% Usage
% out = Wiener2(Noisy,in,sigma)
% Inputs
% Noisy Noisy input signal.
% in Original signal.
% sigm