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Upper gain margin Intended for a senior-level course on the analysis and design of digital control systems, the text is also useful for graduate students and practicing engineers who are learning state-space design techniques.
Update : 2008-10-13 Size : 825byte Publisher : shangguan

DL : 0
Upper gain margin Intended for a senior-level course on the analysis and design of digital control systems, the text is also useful for graduate students and practicing engineers who are learning state-space design techniques.
Update : 2025-02-19 Size : 1kb Publisher : shangguan

DL : 0
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
Update : 2025-02-19 Size : 7kb Publisher : 薛耀斌

DL : 0
一个关于无向图推理模型的代码,可用于图像处理-An undirected graph inference on the model code
Update : 2025-02-19 Size : 359kb Publisher : 杨华春

该工具包囊括了无向图模型的一些常用算法,包括随机场模型,预测算法,解码算法和采样算法,非常实用。-UGM is a set of Matlab functions implementing various tasks in probabilistic undirected graphical models of discrete data with pairwise (and unary) potentials。
Update : 2025-02-19 Size : 467kb Publisher : john

soal ujian acept ugm
Update : 2025-02-19 Size : 96kb Publisher : werkudoro

ANSYS APDL UIDL SDK ACT 二次开发 客户化定制-ANSYS APDL UIDL SDK ACT customized secondary development
Update : 2025-02-19 Size : 3.25mb Publisher : 王宇

这是一个基于马尔可夫模型的图像分割程序,功能很强大,希望对您有用-this is an algorithm about MRF
Update : 2025-02-19 Size : 358kb Publisher : liubenqiang

DL : 0
This is a major update to UGM. ALL mex files must be re-compiled to use this new version. In addition, parameter estimation now works in a completely different way to allow arbitrary parameter tying (there is no more infoStruct). Below is the list of updates: Replaced the infoStruct with the nodeMap and edgeMap. These allow arbitrary parameter tying and make it easier to have different graph structures for different training examples. Added the alpha-expansion and alpha-expansion beta-shrink moves for approximate decoding in models satisfying a generalized triangle inequality, as well as the truncation trick to allow these methods to be applied when this inequality is not satisfied.(This is a major update to UGM. ALL mex files must be re-compiled to use this new version. In addition, parameter estimation now works in a completely different way to allow arbitrary parameter tying (there is no more infoStruct). Below is the list of updates: Replaced the infoStruct with the nodeMap and edgeMap. These allow arbitrary parameter tying and make it easier to have different graph structures for different training examples.)
Update : 2025-02-19 Size : 466kb Publisher : 辣比小新
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