代码搜索：quantized
找到约 430 项符合「quantized」的源代码
代码结果 430
www.eeworm.com/read/470544/6913343
m kmeansquantex.m
% function [idx,netsim,dpsim,expref] = kmeansquantEx(x, S, K, EMruns)
%
% Initializes k-centers with the quantized means (exemplars) found by the
% k-means algorithm.
%
% Input:
% x is a d-by
www.eeworm.com/read/462846/7194327
m prob8_1.m
%Vector Quantization of an image using generalized Lloyd algorithm
%This version yields quantized images with various codebook size from 2 to 256, so that it can draw a RD curve.
%you can slightly m
www.eeworm.com/read/218261/14929540
h quantize.h
#ifndef QUANTIZE_H
#define QUANTIZE_H
#include "wave.h"
/****
*NOTE* : the LL section is quantized with Q = 1 !!
the intent here is just to stuff the floats to ints, and
get as much extr
www.eeworm.com/read/424063/10501273
m quantize.m
function [sys, x0, str, ts] = quantize(t, x, u, flag, q)
%VLIMINTM Vectored quantizer implementation.
% This M-file is an example of a quantizer S-Function. The input
% is quantized into steps as
www.eeworm.com/read/147096/12584788
m quantize.m
function [sys, x0, str, ts] = quantize(t, x, u, flag, q)
%VLIMINTM Vectored quantizer implementation.
% This M-file is an example of a quantizer S-Function. The input
% is quantized into steps as
www.eeworm.com/read/101557/15826810
m quantize.m
function [sys, x0, str, ts] = quantize(t, x, u, flag, q)
%VLIMINTM Vectored quantizer implementation.
% This M-file is an example of a quantizer S-Function. The input
% is quantized into steps as
www.eeworm.com/read/388370/8612473
m qcoeff.m
function [y,L,B] = QCoeff(x,N)
% [y,L,B] = QCoeff(x,N)
% Coefficient Quantization using N=L+B bit Representation
% with Rounding operation
% y: quantized array (same dim as x)
%
www.eeworm.com/read/430435/8747149
m lat5q.m
function eo = lat5q(input,d,lambda,eta,order,B);
% Quantized normalized RLS lattice filter
% returns the a-priori output error sequence
N = max(size(input));
M = order;
% Initializati
www.eeworm.com/read/442900/7642589
m entropy_enco.m
function [enco,dict,R] = entropy_enco(index,Nb,Np)
[m,n] = size(index);
% Count the probability & Generate the quantized vector
for j=1:n
for i=1:m
if index(i,j)>0
sig
www.eeworm.com/read/439437/7709110
m qcoeff.m
function [y,L,B] = QCoeff(x,N)
% [y,L,B] = QCoeff(x,N)
% Coefficient Quantization using N=L+B bit Representation
% with Rounding operation
% y: quantized array (same dim as x)
%