MOKA

单径或多径瑞利衰落信道仿真，matlab小波分析程序，线性调频脉冲压缩的Matlab程序,现代信号处理中谱估计在matlab中的使用，对信号进行频谱分析及滤波，主同步信号PSS在时域上的相关仿真。( Single path or multipath Rayleigh fading channel simulation, matlab wavelet analysis program, LFM pulse compression of the Matlab program, Modern signal processing used in the spectral estimation in matlab, The signal spectral analysis and filtering, PSS primary synchronization signal in the time domain simulation related.)

MIMO-LDPC simulation

Filter Design lecture presentation

图像加密程序，基于混沌系统的MATLAB实现(Image encryption, chaotic systems based on MATLAB to achieve)

3种RAKE 接收机的仿真程序 内附源代码注释(3 RAKE receiver simulation program containing the source code comments)

BER for BPSK in AWGN with receive diversity

一篇有关煤田与地震相关性的文章，希望对大家有帮助(One relating to coal and seismic correlation article, I hope to help everyone)

说明：  在VC++中调用Matlab引擎的两个例子(In VC++ calling Matlab engines in the two examples)

自己编写的Matlab源码，主要采用时域有限差分(FDTD)法实现色散介质的电磁仿真。(I have written Matlab source, the main use of finite difference time domain (FDTD) method to achieve the electromagnetic simulation of dispersive media.)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].