代码搜索：ESTIMATION

找到约 3,786 项符合「ESTIMATION」的源代码

代码结果 3,786
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
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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
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www.eeworm.com/read/430527/8740685

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
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www.eeworm.com/read/286640/8752905

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
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www.eeworm.com/read/430318/8756704

m motionestanalysis.m

% This script uses all the Motion Estimation algorithms written for the % final project and save their results. % The algorithms being used are Exhaustive Search, Three Step Search, New % Three Step S
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www.eeworm.com/read/285876/8803435

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
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www.eeworm.com/read/283824/8986793

m test_5_2.m

% Algorithm 5.2. % Homography H estimation between two views of a plane % decompose H into rotation and translation and plane normal % Described in Chapter 5, "An introduction to 3-D Vision" % by
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www.eeworm.com/read/283587/9005270

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
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www.eeworm.com/read/372037/9524023

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
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www.eeworm.com/read/371706/9540992

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,
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www.eeworm.com/read/169674/9846415

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
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