统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines
标签： Statistical Recognition Pattern Toolbox
上传时间： 2014-01-03
上传用户：璇珠官人
The philosophy of the book is to present various pattern recognition tasks in a unified way, including image analysis, speech processing, and communication applications. Despite their differences, these areas do share common features and their study can only benefit from a unified approach.
标签： recognition philosophy pattern present
上传时间： 2017-05-05
上传用户：plsee
The most straightforward approximation is the standard Gaussian approximation, where the MAI is approximated by a Gaussian random variable. This approximation is simple, however it is not accurate in general. In situations where the number of users is not large, the Gaussian approximation is not appropriate. In-depth analysis of must be applied. The Holtzman?s improved Gaussian approximation provides a better approximation to the MAI term. The approximation conditions the interference term on the operation condition of each user.
标签： approximation straightforward the Gaussian
上传时间： 2017-06-03
上传用户：dyctj
opencv OpenCV is cross-platform middle-to-high level API that consists of a few hundreds (>300) C functions. It does not rely on external numerical libraries, though it can make use of some of them (see below) at runtime, if they are available
标签： cross-platform middle-to-high consists hundreds
上传时间： 2013-12-25
上传用户：李梦晗
The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local memory-based models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.
标签： foundations The consists sections
上传时间： 2017-06-22
上传用户：lps11188
MATSNL is a package of MATLAB M-files for computing wireless sensor node lifetime/power budget and solving optimal node architecture choice problems. It is intended as an analysis and simulation tool for researchers and educators that are easy to use and modify. MATSNL is designed to give the rough power/ lifetime predictions based on node and application specifications while giving useful insight on platform design for the large node lifetime by providing side-by-side comparison across various platforms. The MATSNL code and manual can be found at the bottom of this page. A related list of publications describing the models used in MATSNL is posted on the ENALAB part of the 2 project at http://www.eng.yale.edu/enalab/aspire.htm
标签： computing lifetime wireless M-files
上传时间： 2014-01-01
上传用户：lnnn30
关于矢量网络的分析基础和测量，pdf文档。The basis of vector network analysis and measurement
上传时间： 2014-07-04
上传用户：顶得柱
The emphasis of this book is on real-time application of Synopsys tools, used to combat various problems seen at VDSM geometries. Readers will be exposed to an effective design methodology for handling complex, submicron ASIC designs. Significance is placed on HDL coding styles, synthesis and optimization, dynamic simulation, formal verification, DFT scan insertion, links to layout, physical synthesis, and static timing analysis. At each step, problems related to each phase of the design flow are identified, with solutions and work-around described in detail. In addition, crucial issues related to layout, which includes clock tree synthesis and back-end integration (links to layout) are also discussed at length. Furthermore, the book contains in-depth discussions on the basics of Synopsys technology libraries and HDL coding styles, targeted towards optimal synthesis solution.
标签： application real-time Synopsys emphasis
上传时间： 2017-07-05
上传用户：waitingfy
它是SourceForge上的一个开源项目，使用Malib实现实时处理，CSU Face Identification Evaluation System进行人脸识别。算法包括：主成份分析(principle components analysis (PCA)),a.k.a eigenfaces算法,混合主成份分析,线性判别分析(PCA+LDA),图像差分分类器(IIDC),弹性图像匹配算法(EBGM)等等 Malic is realtime face recognition system that based on Malib and CSU Face Identification Evaluation System (csuFaceIdEval). Uses Malib library for realtime image processing and some of csuFaceIdEval for face recognition.
标签： SourceForge 开源 项目
上传时间： 2014-01-21
上传用户：sz_hjbf
数字控制振荡器（NCO，numerical controlled oscillator）是软件无线电、直接数据频 率合成器（DDS，Direct digital synthesizer）、快速傅立叶变换（FFT，Fast Fourier Transform） 等的重要组成部分，同时也是决定其性能的主要因素之一，随着芯片集成度的提高、在信号 处理、数字通信领域、调制解调、变频调速、制导控制、电力电子等方面得到越来越广泛的 应用。
上传时间： 2017-07-15
上传用户：nanshan
