非常好的MATLAB-KALMAN工具包，KPMstats is a directory of miscellaneous Statistics functions written by Kevin Patrick Murphy and various other people
標簽： MATLAB-KALMAN 工具包
上傳時間： 2016-02-14
上傳用戶：lnnn30
Testbenches have become an integral part of the design process, enabling you to verify that your HDL model is sufficiently tested before implementing your design and helping you automate the design verification process. It is essential, therefore, that you have confidence your testbench is thoroughly exercising your design. Collecting code coverage Statistics during simulation helps to ensure the quality and thoroughness of your tests.
標簽： Testbenches enabling integral process
上傳時間： 2016-03-24
上傳用戶：1109003457
GloptiPoly 3: moments, optimization and semidefinite programming. Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem of Moments (GPM), an infinite-dimensional optimization problem which can be viewed as an extension of the classical problem of moments [8]. From a theoretical viewpoint, the GPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and Statistics, to cite a few. In addition, and despite a rather simple and short formulation, the GPM has a large number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For an account of various methodologies as well as some of potential applications, the interested reader is referred to [1, 2] and the nice collection of papers [5].
標簽： optimization semidefinite programming GloptiPoly
上傳時間： 2016-06-05
上傳用戶：lgnf
用VC和SQL Server開發的固定資產管理系統，包括系統信息管理，固定資產管理和統計查詢管理三個大模塊-VC and SQL Server development of the fixed asset management system, including system information management, fixed asset management and Statistics for the three management module
上傳時間： 2016-06-29
上傳用戶：SimonQQ
library which evaluates the lower tail of the noncentral Student s T distribution this is Applied Statistics Algorithm 5
標簽： distribution noncentral evaluates the
上傳時間： 2016-11-16
上傳用戶：xc216
We address the problem of predicting a word from previous words in a sample of text. In particular, we discuss n-gram models based on classes of words. We also discuss several statistical algorithms for assigning words to classes based on the frequency of their co-occurrence with other words. We find that we are able to extract classes that have the flavor of either syntactically based groupings or semantically based groupings, depending on the nature of the underlying Statistics.
標簽： predicting particular previous address
上傳時間： 2016-12-26
上傳用戶：xfbs821
my AVL tree implementation. Have tested it for 8! deletions sequences with 8! insertion sequences. Fast for order Statistics.
標簽： sequences implementation deletions insertion
上傳時間： 2017-03-02
上傳用戶：lixinxiang
使用INTEL矢量統計類庫的程序,包括以下功能: Raw and central moments up to 4th order Kurtosis and Skewness Variation Coefficient Quantiles and Order Statistics Minimum and Maximum Variance-Covariance/Correlation matrix Pooled/Group Variance-Covariance/Correlation Matrix and Mean Partial Variance-Covariance/Correlation matrix Robust Estimators for Variance-Covariance Matrix and Mean in presence of outliers
標簽： 61623 and Kurtosis central
上傳時間： 2017-05-14
上傳用戶：yzy6007
a new method for identification of fast fading mobile channels. Estimates both the channel Statistics and the time varying channel impulse respone on -line.
標簽： identification Estimates statistic channels
上傳時間： 2014-12-22
上傳用戶：lz4v4
SharpPcap c#抓包實現時時獲取網卡信息 SharpPcap tutorial: a step by step guide to using SharpPcap The text of this tutorial is taken directly from WinPcap's official tutorial but is modified to show the C# use of the SharpPcap library. All examples can be downloaded together with SharpPcap source code from SharpPcap 's homepage. The WinPcap library must be installed before attempting to run any of these examples, so please download and install the latest version from WinPcap's download page. SharpPcap was written and tested using .NET v1.1 and Windows 2000/XP. I have no idea about other .NET and Windows versions. If you do try it, please report your results. The following topics are covered in this tutorial: Obtaining the device list Obtaining advanced information about installed devices Opening an adapter and capturing packets Capturing packets without the event handler Filtering the traffic Interpreting the packets Handling offline dump files Sending Packets Gathering Statistics on the network traffic 1. Obtaining the device list
上傳時間： 2015-07-06
上傳用戶：muzongda
