KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to a vector. The sum of squares error function is used. The point at which a local minimum is achieved is returned as CENTRES.
標簽： CENTRES KMEANS OPTIONS cluster
上傳時間： 2014-01-07
上傳用戶：zhouli
Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal ％ component subspace U of dimension PPCA_DIM using a centred covariance matrix X. The variable VAR contains the off-subspace variance (which is assumed to be spherical), while the vector LAMBDA contains the variances of each of the principal components. This is computed using the eigenvalue and eigenvector decomposition of X.
標簽： Probabilistic Components Principal Analysis
上傳時間： 2016-04-28
上傳用戶：qb1993225
EKF-SLAM Simulator This version of the simulator uses global variables for all large objects, such as the state covariance matrix. While bad programming practice, it is a necessary evil for MatLab efficiency, as MatLab has no facility to avoid gratuitous memory allocation and copying when passing (and modifying) variables between functions. With this concession, effort has been made to keep the code as clean and modular as possible.
標簽： Simulator simulator variables EKF-SLAM
上傳時間： 2016-05-02
上傳用戶：lunshaomo
功能：在默認有唯一解的情況下，求出一次方程組的解 使用說明：1.在方程計算器所在目錄下新建一個文本文檔并另存為“matrix”（注意文件名的大小寫和拼寫） 格式： 第一行是未知數(shù)個數(shù)n 后面每行n+1個用空格隔開的數(shù)，表示一個方程 （e.g） 2x+3y-z=6 就輸入 2 3 -1 6 2.保存之后雙擊運行“方程計算器” 3.程序會在目錄下生成名為“answer”的文本文檔，打開就是答案了。
標簽：
上傳時間： 2016-05-02
上傳用戶：xg262122
This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).
標簽： LDPC introduction simulation software
上傳時間： 2014-01-14
上傳用戶：大融融rr
This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).
標簽： LDPC introduction simulation software
上傳時間： 2014-12-05
上傳用戶：change0329
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.
標簽： open-source collection CoinUtils developed
上傳時間： 2013-12-19
上傳用戶：xmsmh
This version of the book is a DRAFT! The chapters are mostly complete, but not carefully edited. Some of the debugging sections are not done, and not all chapters have exercises. If you have high-level comments about the organization of the book or the topics covered, please send me email at feedback{at}thinkpython{dot}com. It is probably too early for detailed comments like spelling errors.
標簽： carefully chapters complete version
上傳時間： 2014-08-29
上傳用戶：ayfeixiao
此文件是引文原版的matlab programming 它包括以下內容 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
標簽： transmission simulator Channel inputs
上傳時間： 2016-07-22
上傳用戶：kelimu
