用c8051做的usb鼠標（HID類）Firmware works with the Silicon Labs IDE v1.71 or later and the Keil C51 tool chain. Project and code modifications will be necessary for use with different tool chains.
標簽： the Firmware Silicon c8051
上傳時間： 2016-03-14
上傳用戶：asdfasdfd
the attached utility is a work I ve submitted to the university It shows what a jpeg compression is all about. the function implements the DCT transform, using a matrix operator. note that matlab has a function for the DCT and iDCT transforms that might be more efficient.
標簽： compression university the submitted
上傳時間： 2014-01-15
上傳用戶：Altman
Kriging 插值程序，實現二維三維數據插值 Makefile_hp700 Makefile_ibm6000 kriging.mdf kriging.c outboard.c inv_m.tar.gz The inverse matrix source codes which got from Netlib. f2c.tar.gz The head file and library which are used to inverse matrix source codes. krig.net The example dx file. data1.dx The input example.
上傳時間： 2016-03-27
上傳用戶：縹緲
法國cromda編寫的新版本MATRICE 2（矩陣和矢量運算單元）。 // ---------------------------------------------------------- // 12-01-02 : MODIFIED Matrice to Matrice2 (Delphi 6) // All routines now operate on rectangular matrix, except (InvMat and SysLin) // No more need to use the InitMat procedure (suppressed) : // - the routines detect automaticaly the dimensions of matrix and vector // - error code MatDimNul is generated if zero lines or column in matrix and vector (See DimensionMatrice and DimensionVecteur) // - error code MatMauvDim is generated if the dimensions of matrix/vector don t allow valid result // - // The result matrix is dimensioned automaticaly
上傳時間： 2014-01-23
上傳用戶：sy_jiadeyi
單片機的lcd驅動，測試過，matrix graphic display module driver
上傳時間： 2016-04-03
上傳用戶：qunquan
著名IDAutomation公司的JAVA條碼控件源碼，支持Code 128, Code 39, Postnet, ITF, UPC, EAN, GS1, Intelligent Mail, Data Matrix & PDF417
標簽： IDAutomation JAVA 條碼 控件
上傳時間： 2014-01-15
上傳用戶：zl5712176
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
Hybrid Monte Carlo sampling.SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo algorithm to sample from the distribution P ~ EXP(-F), where F is the first argument to HMC. The Markov chain starts at the point X, and the function GRADF is the gradient of the `energy function F.
標簽： Carlo Monte algorithm sampling
上傳時間： 2013-12-02
上傳用戶：jkhjkh1982
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
