代码搜索：Transforms

找到约 1,181 项符合「Transforms」的源代码

代码结果 1,181
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java solidpolygonrenderer.java

package com.brackeen.javagamebook.graphics3D; import java.awt.Graphics2D; import java.awt.Color; import com.brackeen.javagamebook.math3D.*; /** The SolidPolygonRenderer class transforms a
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www.eeworm.com/read/490010/6465662

py mkclass.py

#!/usr/bin/env python """ Make Class C to C++ tools (c) 2001 by D.G. Sureau This tools transforms C header files into C++ files, each holding a C++ class declaration.
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www.eeworm.com/read/346528/11739387

m bra.m

% bra After element-wise conjugation, transforms a vector into a normalized row vector. % Copyright (C) 2006 Geza Toth E.mail: toth@alumni.nd.edu % % This program is free software; you can redis
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www.eeworm.com/read/258131/11882763

m demod2d.m

% Demod2D transforms received symbol values into log-likelihoods % % The calling syntax is: % [output] = Demod2D( input, S_matrix, EsNo, [fade_coef] ) % % output = M by N matrix of symbol
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c demod2d.c

/* File: Demod2D.c Description: Transforms received symbols into ML symbol log-likelihoods The calling syntax is: [output] = Demod2D( input, S_matrix, EsNo, [fade_coef] ) Whe
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c fft.c

/* name... fft bugs... Should do transforms on several functions (-b option). use large model. eliminate use of extra few entries, permitting use of exactly 64K arrays (4 bytes * 8
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m demod2d.m

% Demod2D transforms received symbol values into log-likelihoods % % The calling syntax is: % [output] = Demod2D( input, S_matrix, EsNo, [fade_coef] ) % % output = M by N matrix of symbol
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c demod2d.c

/* File: Demod2D.c Description: Transforms received symbols into ML symbol log-likelihoods The calling syntax is: [output] = Demod2D( input, S_matrix, EsNo, [fade_coef] ) Whe
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www.eeworm.com/read/218613/14912898

m bra.m

% bra After element-wise conjugation, transforms a vector into a normalized row vector. % Copyright (C) 2005 Geza Toth E.mail: toth@alumni.nd.edu % % This program is free software; you can redis
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www.eeworm.com/read/15921/597526

h xform.h

/**@file Functions for computing transforms from image feature correspondences Copyright (C) 2006 Rob Hess @version 1.1.1-20070330 */ #ifndef XFORM_H #define XFORM_H #i
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