代码搜索：Distortion
找到约 806 项符合「Distortion」的源代码
代码结果 806
www.eeworm.com/read/164171/10124433
m specsubm.m
function [ss,po]=specsubm(s,fs,p)
%SPECSUBM performs speech enhancement using spectral subtraction [SS,PO]=(S,FS,P)
%
% implementation of spectral subtraction algorithm by R Martin (rather slow)
%
www.eeworm.com/read/276954/10692146
save testsamp.save
Data Points:
(-0.29, 0.17)
(0.56, -0.36)
(0.9, -0.18)
(0.92, 0.47)
(0.16, 0.04)
(0.3, -0.08)
(0.1, 0.88)
(0.74, 0.16)
(0.07, -0.82)
(0.6, -0.55)
(0.18, -0.64)
(0.74, -0.94)
(-0.97, -0.22)
(0.91, 0.87)
www.eeworm.com/read/276954/10692312
save sample.save
Data Points:
(-0.297462, 0.176102)
(0.565538, -0.361496)
(0.909313, -0.182785)
(0.920712, 0.478408)
(0.167682, 0.0499836)
(0.305223, -0.0805835)
(0.114973, 0.882453)
(0.742916, 0.16376)
(0.0724605, -0
www.eeworm.com/read/467759/7000747
m specsubm.m
function [ss,po]=specsubm(s,fs,p)
%SPECSUBM performs speech enhancement using spectral subtraction [SS,PO]=(S,FS,P)
%
% implementation of spectral subtraction algorithm by R Martin (rather slow)
%
www.eeworm.com/read/449504/7502312
m kmeans.m
function [center, U, distortion] = kmeans(dataSet, clusterNum, plotOpt)
%KMEANS K-means clustering using Forgy's batch-mode method
% Usage: [center, U, distortion] = KMEANS(dataSet, clusterNum)
%
www.eeworm.com/read/446157/7584901
upg vesavc.upg
VESA Virtual Controls
NORMAL
00-0F Reserved
10 Brightness
12 Contrast
16 Video Gain Red
18 Video Gain Green
1A Video Gain Blue
1C Focus
20 Horizontal Position
22 Horizontal Size
24 Horiz
www.eeworm.com/read/442927/7641718
m vqlbg_b.m
function [center, U] = vqLBG(data, codeBookSize, dispOpt, kmeansFcn)
% vqLBG: Vector quantization using LBG method of center splitting
% Usage: [center, U]=vq(data, codeBookSize, dispOpt)
% data :
www.eeworm.com/read/442927/7641727
m vqkmeans_b.m
function [center, U, distortion] = kmeans(dataSet, clusterNum, plotOpt)
%KMEANS K-means clustering using Forgy's batch-mode method
% Usage: [center, U, distortion] = KMEANS(dataSet, clusterNum)
%
www.eeworm.com/read/442927/7641734
m vqkmeans.m
function [center, U, distortion, allCenter] = vqKmeans(data, clusterNum, plotOpt)
% vqKmeans: Vector quantization using K-means clustering (Forgy's batch-mode method)
% Usage: [center, U, distortion