back-smooth-MUSIC-code

说明：  几个凸优化函数，用于解决非约束和带约束条件的凸优化问题(Several convex optimization function, for solving non-binding and the constrained convex optimization problem)

MATLAB图形技术——绘图及图形用户接口(MATLAB graphics- graphics and graphical user interfaces)

Quadratic Assignment Problem BPSK

A MATLAB code which solves navier-stokes in Cartesian coordinates with worticity and stream function aproach

Guilib的静态库源码，修改了一些编译错误，以及在不同windows上面存在的一些问题(The static library source code of Guilib. Modified some compilation error, and some bugs that exist in different windows version.)

Comparison OF LEACH EAMMH SEP TEEN Protocols

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. )

matlab code for adaptive median filter

说明：  李氏指数的一些程序，希望对大家有用，啊哈哈和！(Lipschitz exponent of some of the procedures, we hope to be useful, ah ha ha and!)

完美仿真MATLAB瑞利信道的相位包络概率密度····(Perfect simulation of MATLAB Rayleigh channel, the phase envelope probability density)