xiti91

说明：  OMP算法，基于压缩感知的正交匹配追踪算法，能够很好的重构出原始信号(OMP algorithm based on compressed sensing orthogonal matching pursuit algorithm that can reconstruct the original signal very good)

將灰階圖形的像素黑白狀態記錄在音頻頻帶的peak改變上已將圖形資訊隱藏在音頻資料中.並提供灰階圖形資料的取出方法(The grayscale pixel monochrome graphics state record changes in the audio band peak graphical information has been hidden in the audio data, and providing information grayscale graphical methods for taking out)

基带数字预失真DPD算法，实现对功放的非线性矫正，以及功放的模型实现。(Baseband digital predistortion DPD algorithm to achieve nonlinear amplifier correction, as well as the amplifier model implementation.)

用matlab计算脉冲在光纤中传输的薛定谔方程。(Calculated using matlab pulse in optical fiber transmission Schrö dinger equation.)

Gaussian mixture model digetal matlab procisssing

Validity Measures for the Fuzzy Cluster

说明：  人工神经网络的bp算法及其实现方法（matlab），请各位参考(Bp artificial neural network algorithm and its realization method (matlab), please refer to)

微分方程实验MATLAB实现,以及中文说明()

盲源分离中的J.F.Cardoso的对角化matlab源程序 (Blind Source Separation of JFCardoso diagonalization matlab source)

This book is for people who want to solve ordinary differential equations (ODEs), both initial value problems (IVPs) and boundary value problems (BVPs) as well as delay differential equations (DDEs). Solving ODEs withMATLAB is a text for a one-semester course for upper-level undergraduates and beginning graduate students in engineering, science, and mathematics. Prerequisites are a first course in the theory of ODEs and a survey course in numerical analysis. Implicit in these prerequisites is some programming experience, preferably in Matlab, and some elementary matrix theory. Solving ODEs withMATLAB is also a reference for professionals in engineering, science, and mathematics. With it they can quickly obtain an understanding of the issues and see example problems solved in detail. They can use the programs supplied with the book as templates.