This toolbox contains Matlab files that implement the nonsubsample contourlet transform and its utility functions. Some Matlab files are the same as those in Contourlet Toolbox.
標簽： nonsubsample contourlet implement transform
上傳時間： 2017-01-14
上傳用戶：lunshaomo
bayes net tool how to use the bayes net toolbox
上傳時間： 2017-01-17
上傳用戶：685
優化matlab,toolbox,可以用于各種優化問題
上傳時間： 2013-12-17
上傳用戶：王楚楚
Video IO toolbox for matlab. 用directshow做的，比matlab自己的video IO函數強很多。
標簽： directshow toolbox matlab Video
上傳時間： 2017-02-03
上傳用戶：熊少鋒
gps GPS matlab GPS lab ephemeris.m matlab gps toolbox gps toolbox Software Receiver
上傳時間： 2017-02-18
上傳用戶：清風冷雨
Kalman filter toolbox written by Kevin Murphy,See learning_demo.m for a demo of parameter estimation using EM.
標簽： learning_demo estimation parameter toolbox
上傳時間： 2014-01-24
上傳用戶：daguda
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
Matlab Financial Toolbox
上傳時間： 2014-09-01
上傳用戶：gaome
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
