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/344583/11871621

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/252894/12258604

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/234324/14115869

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/233013/14173842

m kernel.m

function f = kernel(xa,x,h); %KERNEL: Density (1D) estimation using a Gaussian Kernel % Density Estimator. This is used to compute the plugin % estimators of entropy % % Silverman,
www.eeworm.com/read/228513/14381021

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/218840/14904585

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/216698/14997351

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/206661/15292441

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/471707/1425682

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/457216/1599677

m ml_covariance_est.m

% Section 7.1.1: Covariance estimation for Gaussian variables % Boyd & Vandenberghe "Convex Optimization" % Joëlle Skaf - 04/24/08 % % Suppose y \in\reals^n is a Gaussian random variable with zero