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Matrix-chain

  • this directory contains the following: * The acdc algorithm for finding the approximate general

    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]

    標簽: approximate directory algorithm the

    上傳時間: 2014-01-17

    上傳用戶:hanli8870

  • A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is

    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

  • MATLAB的SVM算法實現

    MATLAB的SVM算法實現,Matlab Support Vector Machine Toolbox,This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.

    標簽: MATLAB SVM 算法

    上傳時間: 2013-12-20

    上傳用戶:jkhjkh1982

  • The program constructs girth-twelve column-weight QC-LPDC codes. The rate can be changed by changing

    The program constructs girth-twelve column-weight QC-LPDC codes. The rate can be changed by changing k(row-weight), size is changed by varying m(sub-matrix size).

    標簽: column-weight girth-twelve constructs The

    上傳時間: 2016-11-01

    上傳用戶:erkuizhang

  • The algorith divides rows in to four equal groups. The rows are then used to from a distance graph w

    The algorith divides rows in to four equal groups. The rows are then used to from a distance graph which is then transformed into a matrix. girth of eight is maintained by avoiding six-cycles in the graph construction

    標簽: rows The algorith distance

    上傳時間: 2014-01-15

    上傳用戶:kelimu

  • The "1818" is my first search word in this website, So I upload Lcd drive(Ssd1818a) C language code

    The "1818" is my first search word in this website, So I upload Lcd drive(Ssd1818a) C language code as my support. 96*64 dot matrix Graphic LCD controller: SSD1818A Parallel interface Initial routine code Command write and Data write Base functions and application code Ascii font library Product Photo Mcu: Pic16F887...etc. Keywords: Ssd1818a, dot matrix graphic, Parallel interface, Initial routine, base font8x8 librarys

    標簽: 1818 language website search

    上傳時間: 2016-11-05

    上傳用戶:趙云興

  • The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produce

    The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.

    標簽: illustrates elimination Gaussian pivoting

    上傳時間: 2016-11-09

    上傳用戶:wang5829

  • The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produce

    The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.

    標簽: illustrates elimination Gaussian pivoting

    上傳時間: 2014-01-21

    上傳用戶:lxm

  • 描述該如何設計JTAG

    描述該如何設計JTAG,尤其講了JTAG CHAIN的設計,對于產品需要產業化的硬件工程師來說很重要!

    標簽: JTAG 如何設計

    上傳時間: 2016-11-10

    上傳用戶:zsjzc

  • This module provides an interface to an alphanumeric display module. The current version of this dr

    This module provides an interface to an alphanumeric display module. The current version of this driver supports any alphanumeric LCD module based on the:Hitachi HD44780 DOT MATRIX LCD controller.

    標簽: module alphanumeric interface provides

    上傳時間: 2013-12-04

    上傳用戶:himbly

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