代码搜索：ESTIMATION
找到约 3,786 项符合「ESTIMATION」的源代码
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www.eeworm.com/read/352960/10488311
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/160490/10527034
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/352442/10552333
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/276402/10741885
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/276402/10742001
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/349622/10813656
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/417106/11003744
m colored.m
function Colored(flag, corr)
% Optimal State Estimation, by Dan Simon
%
% Kalman filter simulation with colored (time correlated) measurement noise.
% INPUTS:
% flag = 0 means ignore the tim
www.eeworm.com/read/270946/11018933
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/468911/6981776
m vebyk.m
function [output,errorvariance] = vebyk(coord,dgrid,points,anisotropy,alpha,nu,range,crossv,verbose)
% Value Estimation BY Kriging:
% estimates values on a grid using ordinary kriging.
%
% Parameter
www.eeworm.com/read/449504/7502090
m recm.m
function results = recm(y,nlag,w,freq,sig,tau,theta,r)
% PURPOSE: performs Bayesian error correction model estimation
% using Random-walk averaging prior
%------------------------------------