統(tǒng)計模式識別工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，F(xiàn)eature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines
標(biāo)簽： Statistical Recognition Pattern Toolbox
上傳時間： 2014-01-03
上傳用戶：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.
標(biāo)簽： recognition philosophy pattern present
上傳時間： 2017-05-05
上傳用戶：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.
標(biāo)簽： approximation straightforward the Gaussian
上傳時間： 2017-06-03
上傳用戶：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
標(biāo)簽： cross-platform middle-to-high consists hundreds
上傳時間： 2013-12-25
上傳用戶：李夢晗
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.
標(biāo)簽： foundations The consists sections
上傳時間： 2017-06-22
上傳用戶：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
標(biāo)簽： computing lifetime wireless M-files
上傳時間： 2014-01-01
上傳用戶：lnnn30
關(guān)于矢量網(wǎng)絡(luò)的分析基礎(chǔ)和測量，pdf文檔。The basis of vector network analysis and measurement
標(biāo)簽： 矢量 分 測量 網(wǎng)絡(luò)
上傳時間： 2014-07-04
上傳用戶：頂?shù)弥?/p>
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.
標(biāo)簽： application real-time Synopsys emphasis
上傳時間： 2017-07-05
上傳用戶：waitingfy
它是SourceForge上的一個開源項目，使用Malib實現(xiàn)實時處理，CSU Face Identification Evaluation System進行人臉識別。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,線性判別分析(PCA+LDA),圖像差分分類器(IIDC),彈性圖像匹配算法(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.
標(biāo)簽： SourceForge 開源 項目
上傳時間： 2014-01-21
上傳用戶：sz_hjbf
數(shù)字控制振蕩器（NCO，numerical controlled oscillator）是軟件無線電、直接數(shù)據(jù)頻 率合成器（DDS，Direct digital synthesizer）、快速傅立葉變換（FFT，F(xiàn)ast Fourier Transform） 等的重要組成部分，同時也是決定其性能的主要因素之一，隨著芯片集成度的提高、在信號 處理、數(shù)字通信領(lǐng)域、調(diào)制解調(diào)、變頻調(diào)速、制導(dǎo)控制、電力電子等方面得到越來越廣泛的 應(yīng)用。
上傳時間： 2017-07-15
上傳用戶：nanshan
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