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/202805/5045153
h quant_lsp.h
/* Copyright (C) 2002 Jean-Marc Valin */
/**
@file quant_lsp.h
@brief LSP vector quantization
*/
/*
Redistribution and use in source and binary forms, with or without
modification,
www.eeworm.com/read/177697/5321202
h vq.h
/* Copyright (C) 2002 Jean-Marc Valin
File: vq.h
Vector quantization
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the follo
www.eeworm.com/read/177697/5321218
c vq.c
/* Copyright (C) 2002 Jean-Marc Valin
File: vq.c
Vector quantization
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the follo
www.eeworm.com/read/163233/5511068
cc freemandet.cc
//
// FreemanDet - the freeman vector quantization detector. It reads the raw data
// and inserts markers for the end of freeman vectors (only pen down data
// points are processed.
// Input - read
www.eeworm.com/read/334933/3360426
m noisepwr2.m
function nvar = noisepwr2(num,den)
% Computes the approximate output noise variance due
% to input quantization of a digital filter
% by summing the square of the impulse response samples
%
% num and
www.eeworm.com/read/334933/3360499
m noisepwr2.m
function nvar = noisepwr2(num,den)
% Computes the approximate output noise variance due
% to input quantization of a digital filter
% by summing the square of the impulse response samples
%
% num
www.eeworm.com/read/334933/3360577
m !noisepw.m
function nvar = noisepwr2(num,den)
% Computes the approximate output noise variance due
% to input quantization of a digital filter
% by summing the square of the impulse response samples
%
% num and
www.eeworm.com/read/303435/3811398
lib wpcquant.comp.dwpt.2d.lib
WPCQUANT - quantization routines for WPC
quantFixerror - quantize
quantDe - dequantize
Function Prototypes:
void quantFixerror(float **x, float error, void *inconf, void *qstate);
void quantDe(float
www.eeworm.com/read/301474/3839526
m noisepwr2.m
function nvar = noisepwr2(num,den)
% Computes the approximate output noise variance due
% to input quantization of a digital filter
% by summing the square of the impulse response samples
%
% num and
www.eeworm.com/read/301474/3839599
m noisepwr2.m
function nvar = noisepwr2(num,den)
% Computes the approximate output noise variance due
% to input quantization of a digital filter
% by summing the square of the impulse response samples
%
% num