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  • MATFOR FFT Visual Fortran program. MATFOR Extensions, as implied in the name, are data or component

    MATFOR FFT Visual Fortran program. MATFOR Extensions, as implied in the name, are data or components external to MATFOR modules that can be used to add versatility to MATFOR programs. Currently there are two types of extensions available with MATFOR, they are MATLAB Interface and Tecplot FileIO. MATLAB Interface, a new feature in MATFOR 4.1, provides MATFOR users access to MATLAB functions so they can obtain functionality that has not been built into MATFOR. The ability of using MATLAB functions makes MATFOR an ideal tool for those who create prototypes using MATLAB, then do implementation in C++ and other programming languages. Through the use of MATFOR, users may perform quick results comparisons Between MATLAB and other languages.

    標簽: MATFOR Extensions component Fortran

    上傳時間: 2013-12-11

    上傳用戶:xieguodong1234

  • 看n2實例 #Create a simulator object set ns [new Simulator] #Define different colors for data flows

    看n2實例 #Create a simulator object set ns [new Simulator] #Define different colors for data flows #$ns color 1 Blue #$ns color 2 Red #Open the nam trace file set nf [open out-1.nam w] $ns namtrace-all $nf set f0 [open out0.tr w] set f1 [open out1.tr w] #Define a finish procedure proc finish {} { global ns nf $ns flush-trace #Close the trace file close $nf #Execute nam on the trace file exit 0 } #Create four nodes set n0 [$ns node] set n1 [$ns node] set n2 [$ns node] set n3 [$ns node] #Create links Between the nodes $ns duplex-link $n0 $n2 1Mb 10ms

    標簽: simulator Simulator different Create

    上傳時間: 2016-07-02

    上傳用戶:wfl_yy

  • This Source-Navigator, an IDE for C/C++/Fortran/Java/Tcl/PHP/Python and a host of other languages.

    This Source-Navigator, an IDE for C/C++/Fortran/Java/Tcl/PHP/Python and a host of other languages. Source-Navigator includes powerful source code comprehension features that help a developer understand complex relationships Between elements of a program s source.

    標簽: Source-Navigator languages Fortran Python

    上傳時間: 2013-12-22

    上傳用戶:yyyyyyyyyy

  • The task of clustering Web sessions is to group Web sessions based on similarity and consists of max

    The task of clustering Web sessions is to group Web sessions based on similarity and consists of maximizing the intra- group similarity while minimizing the inter-group similarity. The first and foremost question needed to be considered in clustering W b sessions is how to measure the similarity Between Web sessions.However.there are many shortcomings in traditiona1 measurements.This paper introduces a new method for measuring similarities Between Web pages that takes into account not only the URL but also the viewing time of the visited web page.Yhen we give a new method to measure the similarity of Web sessions using sequence alignment and the similarity of W eb page access in detail Experiments have proved that our method is valid and e幣cient.

    標簽: sessions clustering similarity Web

    上傳時間: 2014-01-11

    上傳用戶:songrui

  • The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full

    The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full inference package, includes several methods for approximate inference: Loopy Belief Propagation, Generalized Belief Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods (Metropolis, Gibbs, Wolff, Swendsen-Wang). Use "help inference" from Matlab to see all options for usage. 2. gbp_preprocess.m and gbp.m These 2 interfaces split Generalized Belief Propagation into the pre-process stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use only one of them, or changing some parameters in Between. Use "help gbp_preprocess" and "help gbp" from Matlab. 3. simulatedAnnealing.m An interface to the simulated-annealing c-code. This code uses Metropolis sampling method, the same one used for inference. Use "help simulatedAnnealing" from Matlab.

    標簽: Matlab-interfaces inference interface the

    上傳時間: 2016-08-27

    上傳用戶:gxrui1991

  • This file implements a pid controller used to simulator cruise control in a car The input is a thr

    This file implements a pid controller used to simulator cruise control in a car The input is a throtle value Between 0 - 100 ( read on P1 ) The output is the car s speed ( P2 - P0 )

    標簽: controller implements simulator control

    上傳時間: 2014-01-01

    上傳用戶:13160677563

  • The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent

    The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast function measures the statistical dependence Between components, thus when applied to estimated components and minimized over possible demixing matrices, components that are as independent as possible are found.

    標簽: independent kernel-ica implements algorithm

    上傳時間: 2014-01-17

    上傳用戶:yiwen213

  • The main features of the considered identification problem are that there is no an a priori separati

    The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm Between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order

    標簽: identification considered features separati

    上傳時間: 2016-09-20

    上傳用戶:FreeSky

  • The toolbox solves a variety of approximate modeling problems for linear static models. The model ca

    The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm Between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another. KEYWORDS: Total least squares, generalized total least squares, software implementation.

    標簽: approximate The modeling problems

    上傳時間: 2013-12-20

    上傳用戶:15071087253

  • IEEE 802.11a-1999 (8802-11:1999/Amd 1:2000(E)), IEEE Standard for Information technology—Telecommuni

    IEEE 802.11a-1999 (8802-11:1999/Amd 1:2000(E)), IEEE Standard for Information technology—Telecommunications and information exchange Between systems—Local and metropolitan area networks—Specific requirements—Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications—Amendment 1: High-speed Physical Layer in the 5 GHz band

    標簽: IEEE 1999 Information Telecommuni

    上傳時間: 2013-12-24

    上傳用戶:hjshhyy

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