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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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/414357/11119235

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 consta
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www.eeworm.com/read/268231/11148993

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/248437/12558483

c table.c

/* * Copyright 1992 by Jutta Degener and Carsten Bormann, Technische * Universitaet Berlin. See the accompanying file "COPYRIGHT" for * details. THERE IS ABSOLUTELY NO WARRANTY FOR THIS SOFTWARE.
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www.eeworm.com/read/147096/12583776

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
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www.eeworm.com/read/147096/12585393

m quantiz.m

function [indx, quant, distor] = quantiz(sig, partition, codebook) %QUANTIZ Produces the quantization index and output value. % INDX = QUANTIZ(SIG, PARTITION) produces a quantization index IDE
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www.eeworm.com/read/300562/13905715

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/300086/13936637

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
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www.eeworm.com/read/237195/13972204

ijg qtable1.ijg

# Quantization tables given in JPEG spec, section K.1 # This is table 0 (the luminance table): 16 11 10 16 24 40 51 61 12 12 14 19 26 58 60 55 14 13 16 24 40 57 69
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www.eeworm.com/read/134893/13972217

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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