matlabsimulink

This function creates text objects that mimic x and y tick labels, while the original tick labels are removed. The text object format allows more modification (such as color, rotation, etc) than the original tick labels, and also allows TeX strings to be utilized in tick labels (see xformat and yformat inputs for more details).

matlab程序设计教程，分为十四章含有各种信号及图像处理问题(matlab programming tutorial, divided into fourteen chapters contain a variety of signal and image processing problems)

现代随机信号分析，+李在铭+李晓峰+周宁+傅志中(Random signal analysis)

carlight1中是一个用C编的程序，用于计算每条光线在测试屏上的坐标(carlight 1 is a C series of the program, each ray is used to calculate the coordinates on the screen in the test)

这是一个matlab常用函数的参考书。里面包含的matlab常用函数的格式,用法等等。(This book is about the function of MATLAB. )

基於 Matlab 系统辨识工具箱的系统建模(Matlab System Identification Toolbox for System Modeling)

最小二乘算法相关，自适应波束形成，最小均方算法。(Related least squares algorithm, adaptive beamforming, least mean square algorithm.)

Diferent High pass Image Filters, as HoG, Laplacian

This is a Hybrid PSO GSA Aigorithm.A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution.

matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法(Usage: [W,H] = nmf(X,K,alg,maxiter,speak) W: output matrix H: output matrix X: input matrix K: number of components alg: algorithm to use maxiter: maximum number of iterations speak: print to screen Algorithms: mm: Multiplicative updates method using euclidean distance measure. cjlin: Projected gradient method prob: Probabilistic non-negative matrix factorization. als: Alternating least squares. alsobs: Alternating least squares with optimal brain surgeon. Demonstrations: PET: NMF on a PET dataset Text: NMF used on a three different datasets Email, medical, and CNN. Algorithms mm: Multiplicative update method using euclidean distance measure. Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF. cjlin: Alternative non-negative least squares using projected gradients. Author: Chih-Je)