代码搜索：coefficient
找到约 3,200 项符合「coefficient」的源代码
代码结果 3,200
www.eeworm.com/read/302326/13837673
m lms5.m
%LMS5 Problem 2.1
%
% 'ifile.mat' - input file containing:
% K - iterations
% H - FIR channel
% Neq - equalizer order
% sigman - standard deviation of noise at channel ou
www.eeworm.com/read/302326/13837676
m sfrls2.m
%SFRLS2 Problem 1.1.1.2.7
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standard d
www.eeworm.com/read/301504/13858041
m binomial.m
function b = binomial(n,k)
%BINOMIAL compute binomial coefficient
%
% Usage: b = binomial(n,k)
%
% Parameters: ( n )
% b = ( )
% ( k )
%
% Author: Steve Gunn (sr
www.eeworm.com/read/147682/5728108
m asptnlms.m
% [w,y,e,p]= asptnlms(x,w,d,mu,p,b)
%
% Performs filtering and coefficient update using the
% Normalized Least Mean Squares Adaptive algorithm.
%
% Input Parameters [Size]::
% x : in
www.eeworm.com/read/142536/5764759
c res.c
/**********
Copyright 1990 Regents of the University of California. All rights reserved.
Author: 1985 Thomas L. Quarles
**********/
#include "spice.h"
#include
#include "resdefs.h"
#includ
www.eeworm.com/read/138884/5813346
m decodeacbsf.m
function [L, b] = DecodeACBSF (ACBLC, ACBbIB, PMode, LPrev, Pitchpar)
% Decode adaptive codebook parameters for one subframe
% $Id: DecodeACBSF.m 1.1 2004/07/09 G.723.1-v2r1b $
if (PMode == 1)
L =
www.eeworm.com/read/286592/6282715
m binomial.m
function b = binomial(n,k)
%BINOMIAL compute binomial coefficient
%
% Usage: b = binomial(n,k)
%
% Parameters: ( n )
% b = ( )
% ( k )
%
% Author: Zhou Weida (Zh
www.eeworm.com/read/309192/6342014
m sfrls3.m
%SFRLS3 Problem 2.3
%
% 'ifile.mat' - input file containing:
% K - iterations
% H - FIR channel
% Neq - equalizer order
% sigman - standard deviation of measurement noise
www.eeworm.com/read/309192/6342017
m vlms.m
%VLMS Volterra LMS algorithm
%
% 'ifile.mat' - input file containing:
% Nr - members of ensemble
% dim - iterations
% Sx - standard deviation of input
% Sn - standard deviation
www.eeworm.com/read/309192/6342021
m rls2.m
%RLS2 Problem 1.1.1.1.2.3
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% sigmax - standard deviation of input
% Wo - coefficient ve