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This program is a new way to estimate the coherence function. It s based on the MVDR and is much more reliable than the classical Welch s method implemented in MATLAB.
There are 2 programs: the main program called coherence_MVDR.m and and an example, called illustrate.m, that calls the main function to show how it works. There also included 2 papers that we published on this algorithm.
標(biāo)簽：
coherence
the
estimate
function
上傳時間：
2016-07-03
上傳用戶：athjac
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The production of this book required the efforts of many people, but two in particular deserve to be singled out for their diligent, sustained, and unselfish efforts. Sally Stickney, the book s principal editor, navigated me through that minefield called the English language and contributed greatly to the book s readability. Marc Young, whose talents as a technical editor are nothing short of amazing, was relentless in tracking down bugs, testing sample code, and verifying facts. Sally, Marc: This book is immeasurably better because of you. Thanks.
標(biāo)簽：
production
particular
required
efforts
上傳時間：
2016-07-15
上傳用戶：ve3344
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Abstract: This thesis describes the incremental development and main features of a synthetic multi-agent system called UvA Trilearn 2001. UvA Trilearn 2001 is a robotic soccer simulation team that consists of eleven autonomous software agents. It operates in a physical soccer simulation system called soccer server which enables teams of autonomous software agents to play a game of soccer against each other.
標(biāo)簽：
incremental
development
describes
synthetic
上傳時間：
2016-07-25
上傳用戶：zaizaibang
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國外的人才求職招聘最新版，找了很久的，還在調(diào)試中，舊版本說明如下PHP寫的一個人力資源管理系統(tǒng)的源碼：系統(tǒng)采用模塊話的設(shè)計(jì)，此文件解壓到php的環(huán)境下，直接訪問就可以，需要建立一個mysql數(shù)據(jù)庫數(shù)據(jù)庫名為orangeHRM，并建立一個用戶。然后直接訪問http：//localhost/orangehrm就ok！-PHP write a human resources management system of Source : System is modular case design, This document to extract php environment, we can directly access, need to establish a database mysql database called orangeHRM, and the establishment of a user. Then directly on the visit http://localhost/orangehrm ok!
標(biāo)簽：
上傳時間：
2016-09-04
上傳用戶：youmo81
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小波神經(jīng)網(wǎng)絡(luò)的源程序: 1.構(gòu)造的非線性函數(shù): 位于nninit_test.m 2.直接用WNN逼近非線性:Wnn_test.m, (內(nèi)部調(diào)用小波函數(shù)) 3.遺傳算法優(yōu)化后逼近 :GA_Wnn_test.m (內(nèi)部調(diào)用遺傳算法的,初始化,適應(yīng)度,解碼函數(shù))-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions)
標(biāo)簽：
nninit_test
GA_Wnn_tes
Wnn_test
WNN
上傳時間：
2016-09-17
上傳用戶：LIKE
-
this directory
contains the following:
* The acdc algorithm for finding the
approximate general (non-orthogonal)
joint diagonalizer (in the direct Least Squares sense) of a set of Hermitian matrices.
[acdc.m]
* The acdc algorithm for finding the
same for a set of Symmetric matrices.
[acdc_sym.m](note that for real-valued matrices the Hermitian and Symmetric cases are similar however, in such cases the Hermitian version
[acdc.m], rather than the Symmetric version[acdc_sym] is preferable.
* A function that finds an initial guess
for acdc by applying hard-whitening
followed by Cardoso s orthogonal joint
diagonalizer. Note that acdc may also
be called without an initial guess,
in which case the initial guess is set by default to the identity matrix.
The m-file includes the joint_diag
function (by Cardoso) for performing
the orthogonal part.
[init4acdc.m]
標(biāo)簽：
approximate
directory
algorithm
the
上傳時間：
2014-01-17
上傳用戶：hanli8870
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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(biāo)簽：
identification
considered
features
separati
上傳時間：
2016-09-20
上傳用戶：FreeSky
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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(biāo)簽：
approximate
The
modeling
problems
上傳時間：
2013-12-20
上傳用戶：15071087253
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一種比較好的抗鋸齒算法
Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots.
See attached screenshot for a demonstration. More examples included in the code, just run help myaa .
Curiosa:
For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do:
opts.figureSnapMethod = antialiased
publish( test.m ,opts)
However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.
標(biāo)簽：
professionally
anti-aliased
graphics
looking
上傳時間：
2016-09-28
上傳用戶：txfyddz
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If you d like to create web-based applications easily, then this book is for you. More importantly, it shows you
how to do that with joy and feel good about your own work! You don t need to know servlet or JSP while your
productivity will be much higher than using servlet or JSP directly. This is possible because we re going to
use a library called "Tapestry" that makes complicated stuff simple and elegant.
標(biāo)簽：
applications
importantly
you
web-based
上傳時間：
2016-09-29
上傳用戶：宋桃子
