ruihua2

The return is the beampattern of the arrays in dB

一本matlab学习书籍，包括入门到精通，还有simulink等，北航出版。(A matlab learning books, including entry to the master, as well as simulink, etc., Northern Publishing.)

程序为ICA的调用函数，输入为观察的信号，输出为解混后的信号(Procedures for the ICA call the function, enter the observed signal, the output signal unmixing)

偏微分求解，大全很全面的偏微分求解，显隐式，对比及使用等(Partial differential solution)

无损卡尔曼滤波源程序，可读性强，适用范围广，可在此基础上做进一步改进(Kalman filter lossless source, readable, wide application, can be done on the basis of further improvements)

信号分析处理-线性插值实例。。。。。。。。。。(Signal- linear interpolation examples)

程序用matlab编写的三层介质射线追踪，可以绘制射线的路径，也可以显示波形~(using matlab make three layer medium ray tracing program , can draw the path of rays, can also display waveform ~ )

bessel函数求根，求解bessel函数的前20个根(root of bessel)

MFCC参数和LPCC参数需要频繁使用的语音的说话人识别分析还需要使用大量的这些特征参数,这就需要研究MFCC和LPCC算法和参数提取的原则。因为我们需要了解与人交谈的过程中,我们要进行建模 率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(MFCC parameters and LPCC parameters are parameters of speaker recognition which requires frequent use of voice analysis also need to use a lot of these characteristic parameters, This requires research MFCC and LPCC algorithm and the principle of parameter extraction. Because we need to understand the process of talking to people, we want to conduct a speaker modeling the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula)

说明：  通过Matlab仿真，对有无信道估计对系统误码率的影响进行了比较，对LS和MMSE估计算法进行比较(Matlab simulation, whether the channel estimation system bit error rate compared with LS and MMSE estimation algorithm compares)