MATLAB

空间相关噪声下信源个数的聚类检测算法，一篇核心期刊论文(Spatial correlated noise source number of the cluster detection algorithm, a core journal papers)

matlab界面编程的一个实例，通过这个实例可以轻松掌握界面编程的知识(matlab programming interface of an example, through the example of programming interface to easily grasp the knowledge)

Teste de reconhecimento facial

Sullivan关于FTDT经典文章的MATLAB翻译，第三章第二个例子的源程序。(Sullivan article on FTDT classic MATLAB translation of Chapter III of the second example of the source.)

此程序为机器人位置正反解程序，可用此程序求出解析解(This procedure for robot location inverse solution procedures, use this procedure to derive analytical solutions)

mid termd method maatlab

说明：  这是一个关于广义线性模型的matlab代码，里面有说明。(glmlab is a set of m-files for using MATLAB for analysing generalised linear models. )

说明：  3GLTE下行链路方案ofdma性能仿真 以图形的方式表示 OFDMA和sc-fdma的性能差异 信噪比等(3GLTE ofdma downlink performance simulation program to graphically express OFDMA and sc-fdma differences in SNR performance)

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)

CLARKE模型的仿真，通常将OFDM中信号通过该信道，可以调用它仿真出个BER曲线。(CLARKE model simulation, usually in OFDM signal through the channel, you can call it simulation BER curve.)