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STATISTICS

n.(名詞)統(tǒng)計(jì)學(xué)
  • 非常好的MATLAB-KALMAN工具包

    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(biāo)簽: MATLAB-KALMAN 工具包

    上傳時(shí)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 HD

    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(biāo)簽: Testbenches enabling integral process

    上傳時(shí)間: 2016-03-24

    上傳用戶:1109003457

  • GloptiPoly 3: moments, optimization and semidefinite programming. Gloptipoly 3 is intended to so

    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(biāo)簽: optimization semidefinite programming GloptiPoly

    上傳時(shí)間: 2016-06-05

    上傳用戶:lgnf

  • 用VC和SQL Server開發(fā)的固定資產(chǎn)管理系統(tǒng)

    用VC和SQL Server開發(fā)的固定資產(chǎn)管理系統(tǒng),包括系統(tǒng)信息管理,固定資產(chǎn)管理和統(tǒng)計(jì)查詢管理三個(gè)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

    標(biāo)簽: Server SQL 管理系統(tǒng)

    上傳時(shí)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 St

    library which evaluates the lower tail of the noncentral Student s T distribution this is Applied STATISTICS Algorithm 5

    標(biāo)簽: distribution noncentral evaluates the

    上傳時(shí)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 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(biāo)簽: predicting particular previous address

    上傳時(shí)間: 2016-12-26

    上傳用戶:xfbs821

  • my AVL tree implementation. Have tested it for 8! deletions sequences with 8! insertion sequences. F

    my AVL tree implementation. Have tested it for 8! deletions sequences with 8! insertion sequences. Fast for order STATISTICS.

    標(biāo)簽: sequences implementation deletions insertion

    上傳時(shí)間: 2017-03-02

    上傳用戶:lixinxiang

  • 使用INTEL矢量統(tǒng)計(jì)類庫(kù)的程序,包括以下功能:  Raw and central moments up to 4th order  Kurtosis and

    使用INTEL矢量統(tǒng)計(jì)類庫(kù)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(biāo)簽: 61623 and Kurtosis central

    上傳時(shí)間: 2017-05-14

    上傳用戶:yzy6007

  • a new method for identification of fast fading mobile channels. Estimates both the channel statistic

    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(biāo)簽: identification Estimates statistic channels

    上傳時(shí)間: 2014-12-22

    上傳用戶:lz4v4

  • SharpPcap c#抓包實(shí)現(xiàn)時(shí)時(shí)獲取網(wǎng)卡信息

    SharpPcap c#抓包實(shí)現(xiàn)時(shí)時(shí)獲取網(wǎng)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

    標(biāo)簽: SharpPcap c#抓包 獲取網(wǎng)卡信息

    上傳時(shí)間: 2015-07-06

    上傳用戶:muzongda

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