The tca package is a Matlab program that implements the tree-dependent component analysis (TCA) algorithms that extends the independent component analysis (ICA), where instead of looking for a linear transform that makes the data components independent, we are looking for components that can be best fitted in a tree structured graphical model. The TCA model can be applied in any situation where the data can be assumed to have been transformed by an unknown linear transformation.
標簽： tree-dependent implements component analysis
上傳時間： 2016-09-17
上傳用戶：cazjing
These three articles involves the combination of wavelet and MCTF. MCTF means motion-compensated-time-filter. It makes wavelet transform more popular because of the high compression efficiency.
標簽： motion-compensated-tim MCTF combination articles
上傳時間： 2013-11-25
上傳用戶：cc1015285075
外國人寫的卡爾曼濾波算法，a discrete Kalman filter
上傳時間： 2016-10-16
上傳用戶：pinksun9
A stability analysis is presented for staggered schemes for the governing equations of compressible flow. The method is based on Fourier analysis. The approximate nature of pressure-correction solution methods is taken into account. 2001 IMACS. Published by Elsevier Science B.V. All rights reserved
標簽： compressible stability for equations
上傳時間： 2016-12-02
上傳用戶：yph853211
These routines model tropospheric radiowave propagation over variable terrain and calculates propagation loss vs. height and range. Propagation loss is displayed in dB contours on a height vs. range plot. TPEM is based on the split-step Fourier PE method and was originally developed from an early PE model called PEPC, written by Fred Tappert. Propagation loss over variable terrain is modeled by shifting the field an appropriate number of bin widths correspondc ing to the height of the ground. The field is determined using the smooth earth PE method.
標簽： tropospheric propagation calculates radiowave
上傳時間： 2017-01-01
上傳用戶：225588
介紹一些常用的數(shù)值計算方法，包括用FFT計算離散傅立葉(Fourier)變換，kalman濾波，alpha-beida-ganma濾波
上傳時間： 2014-01-06
上傳用戶：sammi
What is Verilog? ➥ Verilog HDL is a Hardware Description Language (HDL) ➥ Verilog HDL allows describe designs at a high level of abstraction as well as the lower implementation levels ➥ Primary use of HDLs is the simulation of designs ➥ Verilog is a discrete event time simulator What is VeriWell? ➥ VeriWell is a comprehensive implementation of Verilog HDL
標簽： Verilog HDL 10149 Description
上傳時間： 2017-02-18
上傳用戶：
documentation for optimal filtering toolbox for mathematical software package Matlab. The methods in the toolbox include Kalman filter, extended Kalman filter and unscented Kalman filter for discrete time state space models. Also included in the toolbox are the Rauch-Tung-Striebel and Forward-Backward smoother counter-parts for each filter, which can be used to smooth the previous state estimates, after obtaining new measurements. The usage and function of each method are illustrated with five demonstrations problems. 1
標簽： documentation mathematical for filtering
上傳時間： 2014-01-20
上傳用戶：changeboy
documentation for optimal filtering toolbox for mathematical software package Matlab. The methods in the toolbox include Kalman filter, extended Kalman filter and unscented Kalman filter for discrete time state space models. Also included in the toolbox are the Rauch-Tung-Striebel and Forward-Backward smoother counter-parts for each filter, which can be used to smooth the previous state estimates, after obtaining new measurements. The usage and function of each method are illustrated with five demonstrations problems. 1
標簽： documentation mathematical for filtering
上傳時間： 2013-12-10
上傳用戶：zxc23456789
The BNL toolbox is a set of Matlab functions for defining and estimating the parameters of a Bayesian network for discrete variables in which the conditional probability tables are specified by logistic regression models. Logistic regression can be used to incorporate restrictions on the conditional probabilities and to account for the effect of covariates. Nominal variables are modeled with multinomial logistic regression, whereas the category probabilities of ordered variables are modeled through a cumulative or adjacent-categories response function. Variables can be observed, partially observed, or hidden.
標簽： estimating parameters functions defining
上傳時間： 2014-12-05
上傳用戶：天誠24
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