The CoinUtils project is a collection of open-source utilities developed and used by a variety of other projects in the COIN-OR repository. The project includes classes for storing and manipulating sparse matrices and vectors, performing MATRIX factorization, parsing input files in standard formats, building representations of mathematical programs, comparing floating point numbers with a tolerance, performing simple presolve operations, and warm starting algorithms for mathematical programs, among others.
標(biāo)簽： open-source collection CoinUtils developed
上傳時間： 2013-12-19
上傳用戶：xmsmh
此文件是引文原版的matlab programming 它包括以下內(nèi)容 Creating and Concatenating Matrices Accessing Elements of a MATRIX Getting Information About a MATRIX 。。。。。 總之包括所有matlab的使用方法
標(biāo)簽： Concatenating programming Accessing Creating
上傳時間： 2016-06-29
上傳用戶：youke111
ofdm信道特性 Channel transmission simulator Channel transmission simulator ％ ％ inputs: ％ sig2 - noise variance ％ Mt - number of Tx antennas ％ Mr - number of Rx antennas ％ x - vector of complex input symbols (for MIMO, this is a MATRIX, where each column ％ is the value of the antenna outputs at a single time instance) ％ H - frequency selective channel - represented in block-Toeplitz form for MIMO transmission ％ N - number of symbols transmitted in OFDM frame ％ ％ outputs: ％ y - vector of channel outputs (MATRIX for MIMO again, just like x MATRIX) ％ create noise vector sequence (each row is a different antenna, each column is a ％ different time index) note: noise is spatially and temporally white
標(biāo)簽： transmission simulator Channel inputs
上傳時間： 2016-07-22
上傳用戶：kelimu
This directory includes matlab interface of the curvelet transform using usfft. Basic functions fdct_usfft.m -- forward curvelet transform afdct_usfft.m -- adjoint curvelet transform ifdct_usfft.m -- inverse curvelet transform fdct_usfft_param.m -- returns the location of each curvelet in phase-space Useful tools fdct_usfft_dispcoef.m -- returns a MATRIX contains all curvelet coefficients fdct_usfft_pos2idx.m -- for fixed scale and fixed direction, returns the curvelet which is closest to a certain point on the image Demos fdct_usfft_demo_basic.m -- display the shape of a curvelet fdct_usfft_demo_recon.m -- partial reconstruction using curvelet fdct_usfft_demo_disp.m -- display all the curvelet coefficients of an image fdct_usfft_demo_denoise.m -- image denoising using curvelet
標(biāo)簽： directory functions interface transform
上傳時間： 2016-08-31
上傳用戶：cooran
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
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(biāo)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(xiàn)，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.
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 k(row-weight), size is changed by varying m(sub-MATRIX size).
標(biāo)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 which is then transformed into a MATRIX. girth of eight is maintained by avoiding six-cycles in the graph construction
標(biāo)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 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(biāo)簽： 1818 language website search
上傳時間： 2016-11-05
上傳用戶：趙云興
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