ZPL

产生OFDM的MATLAB源代码，对初步接触OFDM研究的人很有帮助(OFDM have the MATLAB source code, initial contacts for the study were useful OFDM)

Geddes,肤色分割，数字滤波器，Otsu-最大类间方差，非线性映射所产生的混沌序列(Geddes, color segmentation, digital filter, Otsu- Otsu, nonlinear mappings from the chaotic sequence)

作弊信号检测代码，给定一个数据文件后可以检测出其中的信号(Cheat signal detection code of a data file after a given one of the signal can be detected)

传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这 一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表 示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的 语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优 于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform (DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show that the developed method has better noise suppression performance and lower speech distortion compared to the traditional speech enhancement method. )

mppt tracking for solar inverter

介绍卡尔曼程序原理的演示软件。可以为初学者提供参考。(Kalman procedures introduced the principle of the demonstration software. Can provide a reference for beginners.)

龙格库塔法源码 解决问题的matlab例程(Runge-Kutt ode45)

说明：  对音乐波形的自动分析，用傅里叶级数或傅里叶变换的方法来做，最后用分析得到的吉他的特性来演奏东方红(Music waveform automatic analysis, using Fourier series or Fourier transform method to do, and finally the analysis of the characteristics of the guitar to play East Is Red)

说明：  一种核密度估计，或者称作带宽选择的方法，可以估计二维尺度参数，至于多维以上的估计方法尚在开发，多维情况下个人经验好的方法是多次实验取较好值(kernel density estimation, bandwidth selection, two-dimensional scale parameter can be estimated ,for the multi-dimensional approaches are still under development, multi-dimensional cases, personal experience is to do the experiment many times)

MATLAB6.5应用接口编程 包括接口介绍，MEX文件，matlab计算引擎(MATLAB6.5 application interface programming interfaces, the MEX file Matlab computational engine)