代码搜索：Quantization

找到约 3,139 项符合「Quantization」的源代码

代码结果 3,139
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c quant8x8.c

/*! ************************************************************************************* * \file quant8x8.c * * \brief * Quantization process for a 8x8 block * * \author * Mai
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www.eeworm.com/read/486643/6537531

txt p1_03syntax.txt

############################################################### # JP2 codestream log file generated by jp2codestream.py # # jp2codestream.py is copyrighted (c) 2001,2002 # # by
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www.eeworm.com/read/486643/6537561

txt p0_05syntax.txt

############################################################### # JP2 codestream log file generated by jp2codestream.py # # jp2codestream.py is copyrighted (c) 2001,2002 # # by
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www.eeworm.com/read/486643/6537563

txt p0_06syntax.txt

############################################################### # JP2 codestream log file generated by jp2codestream.py # # jp2codestream.py is copyrighted (c) 2001,2002 # # by
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www.eeworm.com/read/476907/6754298

m uq_dist.m

function [y,dist]=uq_dist(funfcn,b,c,n,delta,s,tol,p1,p2,p3) %UQ_DIST returns the distortion of a uniform quantizer % with quantization points set to the centroids % [Y,DIST]=UQ_DIST(FUNFCN,B
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www.eeworm.com/read/476907/6754320

m lloydmax.m

function [a,y,dist]=lloydmax(funfcn,b,n,tol,p1,p2,p3) %LLOYDMAX returns the the Lloyd-Max quantizer and the mean-squared % quantization error for a symmetric distribution % [A,Y,DIST]
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www.eeworm.com/read/264746/11303017

m fwa.m

function FWA % Program for a limited finite wordlength analysis on user-specified IIR % filters in cascade, parallel or direct form % Analysis performed are for: % (1) ADC quantizati
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www.eeworm.com/read/263805/11341640

m nnpin.m

function y = nnpin(x,a,b,q) %NNPIN Neural Network Design utility function. % NNPIN(X,A,B,Q) % X - Number or matrix. % A - Lower bound. % B - Upper bound. % Q - Quantization constant (o
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www.eeworm.com/read/406594/11439461

m nnpin.m

function y = nnpin(x,a,b,q) %NNPIN Neural Network Design utility function. % NNPIN(X,A,B,Q) % X - Number or matrix. % A - Lower bound. % B - Upper bound. % Q - Quantization constant (o
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www.eeworm.com/read/158463/11612953

m uq_dist.m

function [y,dist]=uq_dist(funfcn,b,c,n,delta,s,tol,p1,p2,p3) %UQ_DIST Returns the distortion of a uniform quantizer. % with quantization points set to the centroids. % [Y,DIST]=UQ_DIST(FUNFCN,B,
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