代码搜索:Quantization

找到约 3,139 项符合「Quantization」的源代码

代码结果 3,139
www.eeworm.com/read/156976/11749191

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.
www.eeworm.com/read/259886/11759925

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
www.eeworm.com/read/155109/11898473

m quant.m

function y=quant(no,q) % Quantization % % function y=quant(no,q) % % no number to be quantized % q quantum size % y no rounded to nearest quantum % Jantzen 940330 y = q*round(no/
www.eeworm.com/read/152310/12122732

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
www.eeworm.com/read/151851/12168825

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
www.eeworm.com/read/151841/12171120

ch contrl.ch

/* LPC Processing control variables: */ /* Files for Speech, Parameter, and Bitstream Input & Output, and message and debug outputs. */ #if ANALYZER + SYNTHESIZER #include
www.eeworm.com/read/252691/12267761

h aacquant.h

/* * FAAC - Freeware Advanced Audio Coder * Copyright (C) 2001 Menno Bakker * * This library is free software; you can redistribute it and/or * modify it under the terms of the GNU Lesser Ge
www.eeworm.com/read/252197/12293862

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
www.eeworm.com/read/252197/12293921

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]
www.eeworm.com/read/336314/12451731

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