matlab7.0-teach-book

最小方差无畸变波束形成，常用的常规波束形成方法(Minimum variance distortionless beam forming, common conventional beamforming method)

A Sparse Signal Reconstruction Perspective for Source Localization With Sensor Arrays Dmitry Malioutov, Student Member, IEEE, Müjdat Ç etin, Member, IEEE, and Alan S. Willsky, Fellow, IEEE

将年月日时分秒转换为某一基准年开始的总秒数(The date(YYYY，MM，DD，hh，mm，ss) is converted to a base year of the total number of seconds.)

用于图像处理的程序，可提取图像中隐藏的信息，并对图像进行修正(For image processing procedures, can extract the hidden information in the image, and image correction)

A short code used to know the frecuency to sintonize a sistem using a PID control

基于泊松过程的检测与估计原理和方法，对“有符号间干扰信道”中的类似问题进行仿真，并最终给出了仿真数据趋势图。 (Poisson process based on principles and methods of detection and estimation of "inter-symbol interference channels have" similar problems in the simulation, and ultimately gives the simulation data trends.)

说明：  Generation and selection of algorithm

MATLAB2009a的教程。使用方法，技巧，新功能等，应有尽有。(MATLAB2009a of course. The use of methods, techniques, new features are now available.)

In many applications, such as biomedical engineering, it is often required to obtain specific periodic source signals. In this paper, we propose a two-stage based approach for extracting periodic signals. At the first stage, the autocorrelation property of the desired source signal is exploited to roughly extract the desired source signal. At the second stage, the extracted signal is further processed as cleanly as possible, based on the higher-order statistics. Simulations on artificially generated data and real-world ECG data have showed its better performance, compared with many existing extraction algorithms.

Power Electronics Simulation for beginner