Regularized-Filter

Least Mean Square using matlab

加入噪声的音乐信号的分帧后的短时能量和过零率的特性，用matlab语言的实现(Short time after joining the framing of the noise of the music signal energy and zero-rate characteristics using Matlab language)

matlab 下基于近邻函数值法则的聚类算法(Matlab-based neighbor function of the clustering algorithm rules)

Setup the Raspberry Pi to work with Matlab. Check out the Matlab Hardware Support Package documentation. This GUI based program will automatically connect to the Raspberry Pi if already configured. It shows the Pin logic values in color. The Pin headers P1 and P5 are shown exactly as on the Raspberry Pi. Additionally, it shows the actual location of the Pin Header on the Raspberry Pi. Pin direction can be set to INPUT or OUTPUT by clicking on the side buttons. Directly clicking on the Pins will change the status on the Raspberry Pi. Pin statuses are shown live. NB: This program won t work with new Raspberry Pi Model B+.

MetMAP is a MATLAB Toolbox for Metabolical Modeling, Analysis and oPtimization (Met. M. A. P.). You can use this package to study metabolical systems from a theoretical point of view, analysing the pathway s structure and dynamics, but you can also use it for biotechnological purposes, evaluating optimal solutions in a genetical improvement process. All this calculations are evaluated using the S-System formalism (a part of Biochemical Systems Theory, BST) and the Indirect Optimization Method (IOM, developed by Torres, Voit et al). Additional information in our Website: http://webpages.ull.es/users/sympbst/pag_ing/metmap.htm

matlab的图论工具箱，基本够用了，大家试一试。(matlab toolbox graph theory, basic enough, please try.)

该文献基于Matlab的光学实验仿真平台的研究分析。(Matlab-based simulation platform for optical experiments)

这是一个关于全变分的盲复原算法，该算法在实际应用了取得了很好的效果，希望对大家有好处。(This is a variation on the whole of blind image restoration algorithm in the practical application of the good results obtained, we hope to benefit.)

Algorithm Collections for Digital Signal Processing Applications using Matlab - E.S. Gopi

it s a package for load flow analysis by Newton Raphson method