The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full inference package, includes several methods for approximate inference: Loopy Belief Propagation, Generalized Belief Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods (Metropolis, Gibbs, Wolff, Swendsen-Wang). Use "help inference" from Matlab to see all options for usage. 2. gbp_preprocess.m and gbp.m These 2 interfaces split Generalized Belief Propagation into the pre-process stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use only one of them, or changing some parameters in between. Use "help gbp_preprocess" and "help gbp" from Matlab. 3. simulatedAnnealing.m An interface to the simulated-annealing c-code. This code uses Metropolis sampling method, the same one used for inference. Use "help simulatedAnnealing" from Matlab.
標簽： Matlab-interfaces inference interface the
上傳時間： 2016-08-27
上傳用戶：gxrui1991
this directory contains the following: * The acdc algorithm for finding the approximate general (non-orthogonal) joint diagonalizer (in the direct Least Squares sense) of a set of Hermitian matrices. [acdc.m] * The acdc algorithm for finding the same for a set of Symmetric matrices. [acdc_sym.m](note that for real-valued matrices the Hermitian and Symmetric cases are similar however, in such cases the Hermitian version [acdc.m], rather than the Symmetric version[acdc_sym] is preferable. * A function that finds an initial guess for acdc by applying hard-whitening followed by Cardoso s orthogonal joint diagonalizer. Note that acdc may also be called without an initial guess, in which case the initial guess is set by default to the identity matrix. The m-file includes the joint_diag function (by Cardoso) for performing the orthogonal part. [init4acdc.m]
標簽： approximate directory algorithm the
上傳時間： 2014-01-17
上傳用戶：hanli8870
The aqsesGUI software is a software package for processing Magnetic Resonance Spectroscopy signals. The software contains methods to load, preprocess and process MRS data.
標簽： software Spectroscopy processing Resonance
上傳時間： 2016-09-20
上傳用戶：lanwei
一種比較好的抗鋸齒算法 Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots. See attached screenshot for a demonstration. More examples included in the code, just run help myaa . Curiosa: For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do: opts.figureSnapMethod = antialiased publish( test.m ,opts) However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.
標簽： professionally anti-aliased graphics looking
上傳時間： 2016-09-28
上傳用戶：txfyddz
Writing Robust Java Code The AmbySoft Inc. Coding Standards for Java v17.01d Scott W. Ambler Software Process Mentor This Version: January 15, 2000 Copyright 1998-1999 AmbySoft Inc.Purpose of this White Paper This white paper describes a collection of standards, conventio code. They are based on sound, proven software engineering p understand, to maintain, and to enhance. Furthermore, by foll productivity as a Java developer should increase remarkably ¨C write high-quality code right from the start you will have a much development process. Finally, following a common set of codi making teams of developers significantly more productive.
標簽： W. Java Standards AmbySoft
上傳時間： 2013-12-22
上傳用戶：mhp0114
Learn how to build a custom Linux® distribution to use in an embedded environment, in this case to drive a Technologic Systems TS-7800 single-board computer. In this tutorial, you learn about cross-compiling, the boot loader, file systems, the root file system, disk images, and the boot process, all with respect to the decisions you make as you re building the system and creating the distribution.
標簽： distribution environment embedded custom
上傳時間： 2013-12-23
上傳用戶：stella2015
軟件開發環境：ISE 7.1i 仿真環境：ModelSim SE 6.0 1. 這個實例實現通過ModelSim工具實現一個具有“百分秒，秒，分”計時功能的數字跑表； 2. 工程在project文件夾中，雙擊paobiao.ise文件打開工程； 3. 源文件在rtl文件夾中，paobiao.v為設計文件，paobiao_tb.tbw是仿真測試文件； 4. 打開工程后，在工程瀏覽器中選擇paobiao_tb.tbw，在Process View中雙擊“Simulation Behavioral Model”選項，若正確安裝ModelSim，系統將自動打開ModelSim進行行為仿真，運行仿真即可得到仿真結果。
上傳時間： 2016-10-04
上傳用戶：dbs012280
軟件開發環境：ISE 7.1i 仿真環境：ISE Simulator 1. 這個實例實現通過ISE Simulator工具實現一個具有兩個方向共八個燈的交通燈控制器； 2. 工程在project文件夾中，雙擊traffic.ise文件打開工程； 3. 源文件在rtl文件夾中，traffic.v為設計文件，traffic_tb.tbw是仿真波形文件； 4. 打開工程后，在工程瀏覽器中選擇traffic_tb.tbw，在Process View中雙擊“Simulation Behavioral Model”選項，進行行為仿真，即可得到仿真結果。
上傳時間： 2014-01-25
上傳用戶：思琦琦
Aspect-Oriented Software Developement Coverage includes Using AOSD to streamline complex systems development without sacrificing flexibility or scalability How AOSD builds on the object-oriented paradigmand how it s different State-of-the-art best practices for the AOSD development process Languages and foundations: separating concerns, filter technologies, improving modularity, integrating new features, and more Using key AOSD tools, including AspectJ, Hyper/J, JMangler, and Java Aspect Components Engineering aspect-oriented systems: UML, concern modeling and elaboration, dependency management, and aspect composition Developing more secure applications with AOSD techniques Applying aspect-oriented programming to database systems Building dynamic aspect-oriented infrastructure
標簽： Aspect-Oriented Developement streamline Software
上傳時間： 2013-12-01
上傳用戶：jennyzai
Written for embedded systems programmers and engineers, as well as networking professionals, this in-depth guide provides an inside look at the entire process of implementing and using the Linux TCP/IP stack in embedded systems projects.
標簽： professionals programmers networking engineers
上傳時間： 2016-10-24
上傳用戶：小碼農lz
