notebook

blur measurement. Simple but efficient.

TigerSharc TS201 floating point lms filter routine(TigerSharc TS-201 floating point lms filte r routine)

MATLAB APLICADO AL CONTROL AUTOMATICO

Chuong trinh mo phong he thong truyen dan OFDM.

使用最陡下降法实现自适应去噪操作的m文件，最后做出了误差特性曲面(Steepest descent method to achieve adaptive de-noising operation m file, and finally made the error characteristics of the surface)

用MATLAB实现的vibe算法，内有测试视频(use matlab to program the vibe Algorithm)

Cauchy probability distribution function sample

OFDM信道估计代码，通过LMMSE估计、LS估计、SVD估计进行研究。并通过MATLAB仿真平台进行仿真，对三种信道估计算法及它们的性能进行了仿真分析和比较。(OFDM channel estimation)

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)

这是发表在science上的关于聚类的文章 论文后面附者算法实现过程，其上的网址有matlab程序(This is published in the science on the cluster of articles on the papers attached to those behind the algorithm process, the Web site have matlab program)