2D-MUSIC

能够实现Sparse Coding，对IMAGES.mat文件进行训练。(To achieve Sparse Coding, carries on the training to the IMAGES.mat file)

This MATLAB exercise designs and implements a pitch period detector based on detecting and tracking peaks in the autocorrelation of the LPC error signal during regions of voiced speech. The pitch detection procedure is called the SIFT (Simple Inverse Filtering Tracking) method. The SIFT pitch period detector uses a secondary autocorrelation peak in order to detect and correct pitch period detection errors due to effects such as pitch period doubling and related phenomena.

简单双摆的阻抗控制例子，使用matlab来模拟的(An example of impedance control for simple double pendulum)

SVM的主要算法功能十分强大，分享之，如果你不行你可以下载看看是吧(dfgdfgweqweqweqwe)

固定端点打开旅行商问题的遗传算法，MATLAB设计(The fixed endpoint open the traveling salesman problem genetic algorithm, MATLAB design)

用于提取chebeshev滤波器的传输零点的一个小程序(Chebeshev filter for extracting a small program transmission zeros)

通信原理上机实验_基于MATLAB的模拟幅度调制解调系统_AM调制解调系统程序代码(Machine on communication theory based on MATLAB simulation experiments _ amplitude modulation and demodulation system _AM code modulation and demodulation system)

基于ca cfar的恒虚警测试程序 基于ca cfar的恒虚警测试程序 基于ca cfar的恒虚警测试程序(Based ca cfar CFAR test program is based on ca cfar CFAR test program is based on ca cfar CFAR test program)

一本关于matlab的书籍，涵盖了基本知识点的介绍，程序源码，相信会给初学者一个全面的学习资料。(A book on matlab, covering the basic knowledge of point presentation, program source code, I believe will give beginners a comprehensive learning materials.)

基于LANDMARC的定位系统上进行的算法复杂度的减小的优化，包括了具体的优化后系统的实现，误差前后对比，改文章还提出了一种adaptive的定位算法，更利于外部变化环境下(In wireless networks, a client’s locations can be estimated using signal strength received from signal transmitters. Static fingerprint-based techniques are commonly used for location estimation, in which a radio map is built by calibrating signal-strength values in the offline phase. These values, compiled into deterministic or probabilistic models, are used for online localization. However, the radio map can be outdated when signal-strength values change over time due to environmental dynamics, and repeated data calibration is infeasible or expensive. In this paper, we present a novel algorithm, known as Location Estimation using Model Trees (LEMT), to reconstruct a radio map by using real-time signal-strength readings received at the reference points. This algorithm can take real-time signal-strength values at each time point into account and make use of the dependency between the estimated locations and reference points. We show that this technique can effectively accommodat)