代码搜索：ESTIMATION
找到约 3,786 项符合「ESTIMATION」的源代码
代码结果 3,786
www.eeworm.com/read/242594/12997474
m matul.m
function [hest] = matul (bisp)
%MATUL Impulse response estimation using Matsuoka-Ulrych algorithm
% hest = matul(bisp)
% bisp - the estimated bispectrum
% (e.g., as computed by bispecd or
www.eeworm.com/read/139491/13153712
m matul.m
function [hest] = matul (bisp)
%MATUL Impulse response estimation using Matsuoka-Ulrych algorithm
% hest = matul(bisp)
% bisp - the estimated bispectrum
% (e.g., as computed by bispecd or
www.eeworm.com/read/139491/13153910
m matul.m
function [hest] = matul (bisp)
%MATUL Impulse response estimation using Matsuoka-Ulrych algorithm
% hest = matul(bisp)
% bisp - the estimated bispectrum
% (e.g., as computed by bispecd or
www.eeworm.com/read/241192/13164248
m demo2_02.m
%
% Demonstrates relative performance of Wiener filter (fixed-gain)
% and Kalman filter (time-varying gain) on random walk estimation
%
% Applied to random walk process with gaussian sampling nois
www.eeworm.com/read/241192/13164256
m rtsvskf.m
%
% Demonstrates relative performance of Kalman filter
% and Rauch-Tung-Striebel smoother on random walk estimation
%
clear all;
close all;
N = 100; % Number of samples of process used in simul
www.eeworm.com/read/240990/13180654
m cp0803_rakeselector.m
% FUNCTION 8.11 : "cp0803_rakeselector"
%
% Simulates channel estimation for a discrete-time channel
% impulse response 'hf' with time resolution 'ts' in
% seconds. In addition, the function eva
www.eeworm.com/read/323757/13322139
c motion_est.c
/*
* Motion estimation
* Copyright (c) 2000,2001 Fabrice Bellard.
* Copyright (c) 2002-2004 Michael Niedermayer
*
*
* This library is free software; you can redistribute it and/or
* modify it
www.eeworm.com/read/323757/13322359
c motion_est_mmx.c
/*
* MMX optimized motion estimation
* Copyright (c) 2001 Fabrice Bellard.
* Copyright (c) 2002-2004 Michael Niedermayer
*
* This library is free software; you can redistribute it and/or
* modif
www.eeworm.com/read/318840/13471256
m demo2_02.m
%
% Demonstrates relative performance of Wiener filter (fixed-gain)
% and Kalman filter (time-varying gain) on random walk estimation
%
% Applied to random walk process with gaussian sampling nois
www.eeworm.com/read/318840/13471259
m rtsvskf.m
%
% Demonstrates relative performance of Kalman filter
% and Rauch-Tung-Striebel smoother on random walk estimation
%
clear all;
close all;
N = 100; % Number of samples of process used in simul