代码搜索：ESTIMATION
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www.eeworm.com/read/221229/14752618
txt matlab-toolboxes.txt
Matlab Toolboxes
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ADCPtools - acoustic doppler current profiler data processing
AFDesign - designing analog and
www.eeworm.com/read/221024/14776315
html http:^^www.cs.wisc.edu^~poosala^tech^qestimate.html
Date: Mon, 04 Nov 1996 23:50:00 GMT
Server: NCSA/1.5
Content-type: text/html
Last-modified: Wed, 07 Feb 1996 19:01:30 GMT
Content-length: 3428
Research
Brie
www.eeworm.com/read/218840/14904414
m demadapt.m
%DEMADAPT HOSA Toolbox Demo: Adaptive AR parameter estimation
%
echo off
% demo of RIVDL and RIVTR (which call IVCAL)
% A. Swami April 15, 1993, Nov 15, 1994.
% Copyright (c) 1991-2001 by Unit
www.eeworm.com/read/114454/15052884
m arqr.m
function [R, scale]=arqr(v, p, mcor)
%ARQR QR factorization for least squares estimation of AR model.
%
% [R, SCALE]=ARQR(v,p,mcor) computes the QR factorization needed in
% the least squares es
www.eeworm.com/read/194516/8191438
m ifestar2.m
function [fnorm,t,rejratio]=ifestar2(x,t);
%IFESTAR2 Instantaneous frequency estimation using AR2 modelisation.
% [FNORM,T2,RATIO]=IFESTAR2(X,T) computes an estimate of the
% instantaneous freq
www.eeworm.com/read/200258/15436079
m toa_ls.m
function [ex,ey]=TOA_LS(radius,bx,by,d)
% estimate the position by TOA Least Square technology
% source:
% IEEE signal processing magazine,July 2005
% "network-based wireless location"
% input
%
www.eeworm.com/read/200257/15436097
m toa_ls.m
function [ex,ey, cost]=TOA_LS(radius,bx,by,d)
% estimate the position by TOA Least Square technology
% source:
% IEEE signal processing magazine,July 2005
% "network-based wireless location"
% in
www.eeworm.com/read/200257/15436107
m toa_ls.m
function [ex,ey]=TOA_LS(radius,bx,by,d)
% estimate the position by TOA Least Square technology
% source:
% IEEE signal processing magazine,July 2005
% "network-based wireless location"
% input
%
www.eeworm.com/read/323816/13315561
c global.c
#include "global.h"
IrisList *head;
IrisList *p;
IrisList *q;
char* iris_file="Iris_training.txt";
double mahalnanobis[CLASSTYPENUM];
double range_value[CLASSTYPENUM];
FILE* iris_fp;
www.eeworm.com/read/191902/8417199
m contents.m
% HMM's
% HMM_Backward - HMM backward algorithm
% HMM_Boltzmann - Find the transition matrices of an HMM using Boltzmann networks
% HMM_Decoding - Find probable states fro