mfcc2

DHMM，离线隐马尔科夫模型用于模式分类的好例子，特征采用Kmeans进行离散化。(DHMM, off-line Hidden Markov Model good example for pattern classification, feature discretization using Kmeans.)

this is a matlab code for h.264 coding

多波束形成的代码，其中也有一些自适应的波束形成代码(beam forming)

ham md51 trong matlab

说明：  数字信号处理中的fft算法，非自带程序，各种窗函数的编写。(Fft digital signal processing algorithms, non-native program, the preparation of a variety of window function.)

MVDR方法是波束形成的经典方法，可使期望方向的波束尽可能多通过同时抑制干扰，稳健性强。(MVDR beamforming method is the classic way, can look forward to the direction of the beam while suppressing interference by as much as possible, robust and strong.)

MATLAB工程数学应用讲述了在工程数学中如何使用MATLAB作为研究问题的工具，开发利用。(MATLAB works on mathematical applications in engineering mathematics in how to use MATLAB as a tool for research, development and utilization.)

说明：  遗传规划工具箱 matlab gplab使用手册(gplab.manual)

自动生成地震波,在无试验数据的情况下自动产生与实际相符的地震波(product seismic wave)

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)