代码搜索：Transforms
找到约 1,181 项符合「Transforms」的源代码
代码结果 1,181
www.eeworm.com/read/140727/5782691
text help_message.text
L"name: isip_recognize\nsynopsis: isip_recognize -param param.sof [options] [file1.sof...]\ndescription: speech recognizer, transforms speech to text\nexample: isip_recognize -param param.sof -list id
www.eeworm.com/read/477110/6747919
m rttrdemo.m
%RTTRDEMO Transforms and quaternion demo
% Copyright (C) 1993-2002, by Peter I. Corke
% $Log: not supported by cvs2svn $
% Revision 1.2 2002-04-01 11:47:18 pic
% General cleanup of code: help comme
www.eeworm.com/read/408292/11398119
m franks_from_bnt.m
function [parents,child,node_sizes,postorder,preorder,cliquetable,septable,clq_ass_to_node,pot_to_CPT]= franks_from_BNT(bnet,N)
%franks_from_BNT transforms BNT structure to my structure, which should
www.eeworm.com/read/153407/12035389
m xy2inout.m
function result=xy2inout(x,y)
%XY2INOUT Transforms matrices into a GPLAB algorithm data set (input and output).
% XY2INOUT(X,Y) returns a struct array with input and desired output
% data fo
www.eeworm.com/read/224759/14568331
m xy2inout.m
function result=xy2inout(x,y)
%XY2INOUT Transforms matrices into a GPLAB algorithm data set (input and output).
% XY2INOUT(X,Y) returns a struct array with input and desired output
% data fo
www.eeworm.com/read/300244/3847675
m modwt_tsuite.m
function ts = modwt_tsuite
% modwt_tsuite -- munit test suite to test modwt and inverse transforms.
%
%****f* wmtsa.wmtsa.Test/modwt_tsuite.m
%
% NAME
% modwt_tsuite -- munit test suite to test mo
www.eeworm.com/read/362216/2935999
m modwt_tsuite.m
function ts = modwt_tsuite
% modwt_tsuite -- munit test suite to test modwt and inverse transforms.
%
%****f* wmtsa.wmtsa.Test/modwt_tsuite.m
%
% NAME
% modwt_tsuite -- munit test suite to test mo
www.eeworm.com/read/269755/11079177
cpp fft.cpp
/// \ingroup newmat
///@{
/// \file fft.cpp
/// \brief Fast Fourier (Carl de Boor) and trig transforms.
// Copyright (C) 1991,2,3,4,8: R B Davies
#define WANT_MATH
// #define WANT_STRE
www.eeworm.com/read/446824/7564246
m f_compression.m
function [y] = f_compression(x, nbits_in, nbits_out, step)
% nonlinear transforms
for i = 1:length(x),
y(i) = out_range * (2^(x(i) / in_range)- 1) ;
end;
subplot(221), stairs(x,y);
www.eeworm.com/read/359900/10116823
m im2jpeg.m
function y = im2jpeg(x, quality)
%IM2JPEG Compresses an image using a JPEG approximation.
% Y = IM2JPEG(X, QUALITY) compresses image X based on 8 x 8 DCT
% transforms, coefficient quantization