The data files included are .MAT or *.dat (ASCII)files. The m-files and the data may be distributed, provided that the source is acknowledged in any publication and the data are not sold. Since this software is being distributed free of charge, the authors are not offering any technical support. Students who have any questions or difficulties using this software, or require the additional functions from the Signal Processing Toolbox should contact their professor.
标签： files data distributed The
上传时间： 2014-12-06
上传用户：wuyuying
Written by the inventors of the technology, The Java™ Language Specification, Third Edition, is the definitive technical reference for the Java™ programming language. If you want to know the precise meaning of the language s constructs, this is the source for you. The book provides complete, accurate, and detailed coverage of the Java programming language. It provides full coverage of all new features added since the previous edition, including generics, annotations, asserts, autoboxing, enums, for-each loops, variable arity methods, and static import clauses.
标签： Specification technology the inventors
上传时间： 2016-01-26
上传用户：youmo81
During this course you will learn how to use Matlab, to design, and to perform mathematical computations. You will also get acquainted with basic programming. If you learn to use this program well, you will find it very useful in future, since many technical or mathematical problems can be solved using Matlab.
标签： mathematical computat to perform
上传时间： 2014-01-15
上传用户：Miyuki
THIS book covers the Java™ Native Interface (JNI). It will be useful to you if you are interested in any of the following: • integrating a Java application with legacy code written in languages such as C or C++ • incorporating a Java virtual machine implementation into an existing application written in languages such as C or C++ • implementing a Java virtual machine • understanding the technical issues in language interoperability, in particular how to handle features such as garbage collection and multithreading
标签： Interface you interes Native
上传时间： 2013-12-12
上传用户：ljmwh2000
DESIGN PATTERNS JAVA COMPANION Design patterns began to be recognized more formally in the early 1990s by Helm (1990) and Erich Gamma (1992), who described patterns incorporated in the GUI application framework, ET++. The culmination of these discussions and a number of technical meetings was the publication of the parent book in this series, Design Patterns -- Elements of Reusable Software, by Gamma, Helm, Johnson and Vlissides.(1995). This book, commonly referred to as the Gang of Four or “GoF” book, has had a powerful impact on those seeking to understand how to use design patterns and has become an all-time best seller. We will refer to this groundbreaking book as Design Patterns, throughout this book and The Design Patterns Smalltalk Companion (Alpert, Brown and Woolf, 1998) as the Smalltalk Companion.
标签： recognized COMPANION PATTERNS patterns
上传时间： 2016-02-27
上传用户：大三三
This paper provides incumbent wireless Internet service providers (WISPs), new WISPs and demanding new markets (such as government and education) with a technical analysis of alternatives for implementing last-mile wireless broadband services.
标签： WISPs incumbent demanding providers
上传时间： 2014-01-05
上传用户：二驱蚊器
On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： demonstrates sequential Selection Bayesian
上传时间： 2016-04-07
上传用户：lindor
EclipseTrader is a stock exchange analysis system, featuring shares pricing watch, intraday and history charts with technical analysis indicators, level II/market depth view, news watching, automated trading systems, integrated trading.
标签： EclipseTrader featuring exchange analysis
上传时间： 2016-04-13
上传用户：shizhanincc
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： sequential reversible algorithm nstrates
上传时间： 2014-01-18
上传用户：康郎
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： reversible algorithm the nstrates
上传时间： 2014-01-08
上传用户：cuibaigao
