EPO-mypls-

说明：  pml三维程序，8层，fdtd欢迎指正，(PML of three-dimensional procedures, 8 layer, fdtd welcome to correct me,)

LDPC码的性能，包括利用各种方法寻找好的节点次数分布、构造性能优异的非规则码、快速译码算法的研究、分析不同结构下DLPC码的码重分布，计算性能界和码率界，分析码结构中的周期与性能的关系 (LDPC encoding and decoding in the standard of DVB一52. )

this file presente the most inportant in language C , starting by initail base , and pointer , structure, compilation with other programme

MATLAB语言的发展，基本语法，开发环境和工具，数据分析库datafun(MATLAB language development, basic grammar, development environment and tools, data analysis library datafun)

Runge-Kutta programme solving ODE. Not using solver but equations ste-by-step. Rayleigh-Plesset.

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. )

在MATLAB下运行后可以得到一个日历界面，并且有时间显示！(Run in MATLAB can interface with a calendar and time display!)

image segmentatin in matlab usefull for students

一个用MATLAB语言编写的摄像机标定工具箱,内容丰富，实用。(a MATLAB language of the camera calibration kit, informative and practical.)

Advanced Digital Signal Processing project