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/162810/5513556
ini obj_list.ini
##
## Name of the application to build
##
BinName = aac_enc_int
SFX_WIN = .lib
SFX_LNX = .a
OBJS = \
$(ObjDir)\aac_enc_filterbank_int$(OBJSFX) \
$(ObjDir)\aac_enc_ltp_int$(OBJSFX) \
$
www.eeworm.com/read/286662/8751859
m dslvq.m
function [patterns, targets, w] = DSLVQ(train_patterns, train_targets, Nmu, plot_on)
%Reduce the number of data points using distinction sensitive linear vector quantization
%Inputs:
% train_pat
www.eeworm.com/read/176500/9495790
m coeffquantizeerr.m
function CoeffQuantizeErr(b,a,maxbits,ftype,f,Fs)
%COEFFICIENT QUANTIZATION ERROR ANALYSIS
n=256;
for nbits=2:maxbits
[B,A]=QuantizeCoeff(b,a,nbits); % quantize all coeffs
[B,A] = sos2tf(
www.eeworm.com/read/372113/9521241
m dslvq.m
function [patterns, targets, w] = DSLVQ(train_patterns, train_targets, Nmu, plot_on)
%Reduce the number of data points using distinction sensitive linear vector quantization
%Inputs:
% train_pat
www.eeworm.com/read/168454/9912465
m coeffquantizeerr.m
function CoeffQuantizeErr(b,a,maxbits,ftype,f,Fs)
%COEFFICIENT QUANTIZATION ERROR ANALYSIS
n=256;
for nbits=2:maxbits
[B,A]=QuantizeCoeff(b,a,nbits); % quantize all coeffs
[B,A] = sos2tf(
www.eeworm.com/read/362008/10023920
m dslvq.m
function [patterns, targets, w] = DSLVQ(train_patterns, train_targets, Nmu, plot_on)
%Reduce the number of data points using distinction sensitive linear vector quantization
%Inputs:
% train_pat
www.eeworm.com/read/357874/10199134
m dslvq.m
function [patterns, targets, w] = DSLVQ(train_patterns, train_targets, Nmu, plot_on)
%Reduce the number of data points using distinction sensitive linear vector quantization
%Inputs:
% train_pat
www.eeworm.com/read/399996/7816866
m dslvq.m
function [patterns, targets, w] = DSLVQ(train_patterns, train_targets, Nmu, plot_on)
%Reduce the number of data points using distinction sensitive linear vector quantization
%Inputs:
% train_pat
www.eeworm.com/read/197288/8005995
h jpgqtbls.h
#ifndef CB__JPGQTBLS_H
#define CB__JPGQTBLS_H
//
// JPEG Encoder Library.
//
// Title: Quantization Table Definitions
//
// Author: John M. Miano miano@colosseumbuilders.com
//
// Descript
www.eeworm.com/read/397099/8068898
m dslvq.m
function [patterns, targets, w] = DSLVQ(train_patterns, train_targets, Nmu, plot_on)
%Reduce the number of data points using distinction sensitive linear vector quantization
%Inputs:
% train_pat