mini norm算法Matlab代碼, DOA方向估計中最常用最簡單的算法之一
上傳時間： 2015-09-16
上傳用戶：李彥東
class for work with 3d Vectors: add, sub, saclar multiple, cross multiple, norm, div
標簽： multiple Vectors saclar class
上傳時間： 2016-11-23
上傳用戶：stvnash
contains documents relating to improvement of adaptive beamforming using mixed norm algorithm, combination of lms with smi algorithm, sample code for implementation of lms in matlab
標簽： beamforming improvement algorithm documents
上傳時間： 2014-01-21
上傳用戶：ommshaggar
Final draft of the ISO 14443 norm
上傳時間： 2013-12-18
上傳用戶：ynsnjs
基本矩陣運算 : + - *, power, transpose, trace, determinant, minor, matrix of minor, cofactor, matrix of cofactor, adjoint, inverse, gauss, gaussjordan, linear transformation, LU decomposition , Gram-Schmidt process, similarity. b) Basic vectors functions : norm, distance, innerproduct,coldim, rowdim, rank, nullity. *
標簽： matrix minor determinant transpose
上傳時間： 2013-12-09
上傳用戶：541657925
模擬人物和動畫的書籍，由著名圖形學專家norm BADLER 編寫，全面地介紹了人物動畫的生成和開發。
上傳時間： 2016-01-15
上傳用戶：康郎
數值分析算法源碼(java) 這個學期一邊學習java一邊學習數值分析,因此用java寫了一個數值分析算法的軟件包numericalAnalysis. [說明] 適合使用者:會java的,想要學習數值分析算法的人. 本代碼對照書:數值分析第二版,史萬明等編,北京理工大學出版社. 本代碼盡量按書中描述的來寫,可以提供參考. [使用方法] 在java的ide中新建一個項目,把numericalAnalysis包直接拷貝到此項目的源文件夾中,然后要解決什么問題,就相應的編譯運行什么包. 另外有這些類的API提供參考,可以自己根據自己要求寫驅動類.運行API文件夾中的index.html文件就行. [包的結構] numericalAnalysis包中又含有9個包,除function包的是接口外,其余包都含有一個獨立的數值分析問題的類以及其驅動類.9個包如下: differential:微分問題 equation:方程 function:只含一個接口,用來讓用戶寫自己的函數 functionApproximation:離散情況下函數逼近問題 integration:積分問題 interpolation:插值問題 linearEquationGroup:線性方程組問題(包括過定方程組) norm:求解向量和矩陣的范數 ode:常微分方程數值解的求解
標簽： java numericalAnalysis 數值分析 算法
上傳時間： 2014-01-04
上傳用戶：wff
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 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
Mapack可用來做矩陣運算 Mapack is a .NET class library for basic linear algebra computations. It supports the following matrix operations and properties: Multiplication, Addition, Subtraction, Determinant, norm1, norm2, Frobenius norm, Infinity norm, Rank, Condition, Trace, Cholesky, LU, QR, Single Value decomposition, Least Squares solver, Eigenproblem solver, Equation System solver. The algorithms were adapted from Mapack for COM, Lapack and the Java Matrix Package.
標簽： Mapack computations supports algebra
上傳時間： 2017-01-26
上傳用戶：tb_6877751
