Sonar_Exp_beamform

Cluster Head Selection using a Two-Level Fuzzy Logic in Wireless Sensor Networks

说明：  基于稀疏贝叶斯学习的窄带信号波达方向估计，实测有用，亲测有效！(Based on the sparse Bayesian learning, the narrow-band signal direction estimation is useful, and the pro-test is effective!)

一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT，上下变频，高斯信道建模，FFT，PAPR抑制，各种同步，解调和解码等模块，并统括系统性能的仿真验证了系统设计的可靠性。(OFDM： coding modulation IFFT AWGN Mode FFT ……)

LDPC码不同迭代次数对比。码长512，码率1/2，迭代次数分别为0，5，10，50，100.(The LDPC codes different number of iterations contrast. Long code 512, code rate 1/2, the number of iterations were 0,5,10,50,100.)

LDPC码不同译码算法对比。码长512，码率1/2.(LDPC code decoding algorithm comparison. Code length of 512, a rate 1/2.)

说明：  turbo码的c语言程序，使用c语言来完成整个turbo码的编解码过程，并且程序后附带比较详细的解释(turbo code c language program, use c language to complete the entire turbo code codec process and procedures attached to explain it in more detail)

optimal coverage problem of wireless sensor network

针对MIMO-OFDM系统中期望最大化(EM)信道估计算法在高信噪比(SNR)下带来的误差地板(EF)现象,且OFDM符号的数据传输效率随发射天线数的增加而明显降低,提出一种改进的高效EM信道估计算法。该算法首先引入一种准确的等效信号模型并推导出一种修正的EM算法,改善了EM算法在高SNR下的性能 在多个OFDM间利用相位正交导频序列来提高数据传输效率,同时进行联合信道估计以提高估计性能。仿真实验验证了所提算法具有更高的信道估计性能和更高的数据传输效率。(For multiple-input multiple-output with orthogonal frequency division multiplexing(MIMO-OFDM) systems,the error floor(EF) phenomenon at high signal noise rate(SNR) was induced by the expectation maximum(EM) channel estimation algorithm.In addition,the data transmission efficiency was declined obviously with the increasing number of transmit antennas.According to these problems,an improved and efficient EM channel estimation algorithm was pro-posed.Firstly,an accurate and equivalent signal model was introduc...)

TECHNICAL MANUAL FOR DVC-1500 CAMERAS

说明：  用matlab进行语音信号的采集，处理，还原，仿真数字通信的过程。(Using MATLAB to collect, process, restore and simulate the process of digital communication.)