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  • this m file can Find a (near) optimal solution to the Traveling Salesman Problem (TSP) by setting up

    this m file can Find a (near) optimal solution to the Traveling Salesman Problem (TSP) by setting up a Genetic Algorithm (GA) to search for the shortest path (least distance needed to travel to each city exactly once) Notes: 1. Input error checking included 2. Inputs can be specified in any order, so long as the parameter pairs are specified as a parameter , value

    标签: Traveling Salesman solution Problem

    上传时间: 2013-12-22

    上传用户:ruixue198909

  • This unit uses an array of bytes to represent a LARGE number. The number is binairy-stored in the ar

    This unit uses an array of bytes to represent a LARGE number. The number is binairy-stored in the array, with the least Significant Byte (LSB) first and the Most Significant Byte (MSB) last, like all Intel-integer types.

    标签: number binairy-stored represent LARGE

    上传时间: 2015-10-08

    上传用户:xieguodong1234

  • By building a nonlinear function relationship between an d the error signal

    By building a nonlinear function relationship between an d the error signal,this paper presents a no— vel variable step size LMS(least Mean Square)adaptive filtering algorithm.

    标签: relationship nonlinear building function

    上传时间: 2015-10-22

    上传用户:hzy5825468

  • New users and old of optimization in MATLAB will find useful tips and tricks in this document, as we

    New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course. Some readers may find this tool valuable if only for the function pleas - a partitioned least squares solver based on lsqnonlin. This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below

    标签: optimization and document MATLAB

    上传时间: 2015-12-24

    上传用户:佳期如梦

  • Finds a (near) optimal solution to the Traveling Salesman Problem (TSP) by setting up a Genetic Algo

    Finds a (near) optimal solution to the Traveling Salesman Problem (TSP) by setting up a Genetic Algorithm (GA) to search for the shortest path (least distance needed to travel to each city exactly once)

    标签: Traveling Salesman solution Problem

    上传时间: 2013-12-04

    上传用户:从此走出阴霾

  • We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude mo

    We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.

    标签: frequency-offset estimation quadrature amplitude

    上传时间: 2014-01-22

    上传用户:牛布牛

  • This paper examines the asymptotic (large sample) performance of a family of non-data aided feedfor

    This paper examines the asymptotic (large sample) performance of a family of non-data aided feedforward (NDA FF) nonlinear least-squares (NLS) type carrier frequency estimators for burst-mode phase shift keying (PSK) modulations transmitted through AWGN and flat Ricean-fading channels. The asymptotic performance of these estimators is established in closed-form expression and compared with the modified Cram`er-Rao bound (MCRB). A best linear unbiased estimator (BLUE), which exhibits the lowest asymptotic variance within the family of NDA FF NLS-type estimators, is also proposed.

    标签: performance asymptotic examines non-data

    上传时间: 2015-12-30

    上传用户:225588

  • Traveling Salesman Problem (TSP) has been an interesting problem for a long time in classical optim

    Traveling Salesman Problem (TSP) has been an interesting problem for a long time in classical optimization techniques which are based on linear and nonlinear programming. TSP can be described as follows: Given a number of cities to visit and their distances from all other cities know, an optimal travel route has to be found so that each city is visited one and only once with the least possible distance traveled. This is a simple problem with handful of cities but becomes complicated as the number increases.

    标签: interesting Traveling classical Salesman

    上传时间: 2016-02-06

    上传用户:rocwangdp

  • PCA and PLS aims:to get some insight into the bilinear factor models Principal Component Analysis

    PCA and PLS aims:to get some insight into the bilinear factor models Principal Component Analysis (PCA) and Partial least Squares (PLS) regression, focusing on the mathematics and numerical aspects rather than how s and why s of data analysis practice. For the latter part it is assumed (but not absolutely necessary) that the reader is already familiar with these methods. It also assumes you have had some preliminary experience with linear/matrix algebra.

    标签: Component Principal Analysis bilinear

    上传时间: 2016-02-07

    上传用户:zuozuo1215

  • μC/OS-II Goals Probably the most important goal of μC/OS-II was to make it backward compatible with

    μC/OS-II Goals Probably the most important goal of μC/OS-II was to make it backward compatible with μC/OS (at least from an application’s standpoint). A μC/OS port might need to be modified to work with μC/OS-II but at least, the application code should require only minor changes (if any). Also, because μC/OS-II is based on the same core as μC/OS, it is just as reliable. I added conditional compilation to allow you to further reduce the amount of RAM (i.e. data space) needed by μC/OS-II. This is especially useful when you have resource limited products. I also added the feature described in the previous section and cleaned up the code. Where the book is concerned, I wanted to clarify some of the concepts described in the first edition and provide additional explanations about how μC/OS-II works. I had numerous requests about doing a chapter on how to port μC/OS and thus, such a chapter has been included in this book for μC/OS-II.

    标签: OS-II compatible important Probably

    上传时间: 2013-12-02

    上传用户:jkhjkh1982