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可调输入发送端编码，可调滤波器，gmsk信号调制解调过程(Adjustable input transmitter encoding, tunable filter, gmsk signal modulation and demodulation process)

ofdm simulation, cantains ber, snr. it s short code ofdm mimo, wimax wide.

2012和2013年关于北京天气统计用于功率负载等分析(related content u know)

k均值聚类算法源码（matlab） k均值聚类算法源码（matlab）(k-means clustering algorithm source code (matlab) k-means clustering algorithm source code (matlab))

have players give the function of song category, there is fast forward, pause, stop

遗传算法，Rastrigin 函数，清晰明确，认真仔细，希望快点上传，(Genetic algorithms, Rastrigin function，Clear, carefully, hoping upload,)

Simulation file for CSMA/CA

说明：  关于VC++与Matlab混合编程的一些参考文献，很有参考价值(On VC++ and Matlab programming mix some reference, a good reference)

说明：  压缩感知DOA算法，利用1范数方法进行优化重构，进行方位角估计(Compressed Sensing DOA algorithm, using 1-norm method to optimize reconstruction and azimuth estimation)

This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own. I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them. (This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing: signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names eg tp1.m, and launch the script directly from Matlab comand line> tp1. Some of the scripts contains holes that you should try to fill on your own.I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.)