A Matlab toolbox for exact LinEar time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representations are input/state/output, difference equation, and left matrix fraction. KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.
標簽： identification time-invariant presented emphasis
上傳時間： 2013-12-28
上傳用戶：wfl_yy
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
Matlab source codes for the regularized LinEar discriminant analysis (R-LDA)，Author: Lu Juwei，Bell Canada Multimedia Lab, Dept. of ECE, U. of Toronto，Released in 01 November 2004
標簽： discriminant regularized analysis Matlab
上傳時間： 2014-01-16
上傳用戶：三人用菜
Dolfin provide a high-performance LinEar algebra library
標簽： high-performance provide algebra library
上傳時間： 2016-10-03
上傳用戶：aig85
LinEar Discriminant Analysis in matlab
標簽： Discriminant Analysis LinEar matlab
上傳時間： 2013-12-22
上傳用戶：cc1015285075
famous LinEar algebra library (LAPACK) ports to windows
標簽： algebra library windows famous
上傳時間： 2016-11-16
上傳用戶：lmeeworm
Solve LinEar Equations with matlab
標簽： Equations LinEar matlab Solve
上傳時間： 2016-11-21
上傳用戶：13215175592
This demo shows the BER performance of LinEar, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks.
標簽： performance likelihood decision feedback
上傳時間： 2013-11-25
上傳用戶：1079836864
Solve LinEar system and test it.
上傳時間： 2016-11-26
上傳用戶：a673761058
This MATLAB code calculates the array factor for N element LinEar array. N單元線性陣列的方向圖函數MATLAB仿真代碼
標簽： MATLAB array calculates element
上傳時間： 2014-01-18
上傳用戶：海陸空653
