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说明：  用matlab仿真ofdm在wlan中的应用的源代码，此源代码适用于开发ofdm无线局域网的工程技术人员以及研究生。(simulation using Matlab OFDM wireless LAN in the application's source code, the source code applicable to the development of OFDM wireless LAN engineering and technical personnel and graduate students.)

利用MATLAB实现变长自适应滤波，实现语音增强的功能(MATLAB realize the use of variable length adaptive filtering, realize the function of speech enhancement)

基于SPEA方法的多目标遗传算法程序,本程序为通用包,可自行修改.(based SPEA methods of multi-objective Genetic Algorithms procedures, the procedures for the general packet may amend its own.)

BEC_decode ldpc and BEC channel

The radially averaged power spectrum (RAPS) is the direction-independent mean spectrum, i.e. the average of all possible directional power spectra. This function computes and plots the RAPS of an input image. The function was written to produce the RAPS for square weather radar reflectivity images so you will have to relabel the plot axes and title to suit your needs. The radially averaged power spectrum provides a convenient means to view and compare information contained in 2D spectra in 1D

图像拼接的matlab程序，有需要的朋友可以下载下来看看(Matlab image stitching program, a friend in need can be downloaded to see)

到达时间差（TDOA）源位置估计 -------------------------------------------------- ---------- 使用麦克风信号和自由场模型之间的延迟源位置估计。 TDOA_pairs.m 估计延迟（相对于通道1）通过互相关在时域中。 TDOA_pairs_GCC.m 估计在频域中的延迟（相对于信道1）。采用广义互相关 和SCOT或PHAT（或没有）的均衡。 PHAT的建议，以避免因周期分量的含糊之处。 TDOA_to_sourcepos.m 估计源位置（距离和垂直RESP。水平偏移量）从之间的延迟 阵列麦克风信号。假设一个自由场。(Direction of arrival (DOA) estimation ------------------------------------- Direction-of-arrival estimation with a free field, far field model. Narrowband or broadband (non-coherent) processing. DOA_Bartlett.m Bartlett (delay-and-sum) steered response power. DOA_Bartlett_Octave.m Bartlett (delay-and-sum) steered response power within nth octave frequency bins. DOA_MUSIC.m MUSIC based pseudo beamform power. DOA_MUSIC_Octave MUSIC based pseudo beamform power. nth octave filtering.)

Bluetooth Voice Transmission Matlab/Simulink R13 Version

VArious basic programme according to the book Basics of Matlab (Zakova)

Find the bhattachharya coefficient