session3

2D 粘弹性介质 全空间解析解，matlab。(2D viscoelastic medium analytical solution of the whole space, matlab.)

main function for retinal image viewer

说明：  五种常用小波基含MATLAB实现，Matlab小波分析工具箱原理与应用(MatlabToolBox for wavelet analysis and five common wavelet bases realized by Matlab)

The problem of enhancing speech degraded by uncorrelated additive noise, when only the noisy speech is available, has been widely studied in the past and it is still an active field of research

Dynamic simulation of machineDynamic simulation of machine

rk_4变步长龙哥库塔算法的LORENZ方程(rk_4 LORENZ function)

遗传算法与偏最小二乘结合，应用于化学光谱的变量选择问题，希望对同学们有用。(Combination of genetic algorithm and partial least squares, used in chemical spectroscopy variable selection problem, I hope useful to the students.)

Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.

Alamouti下的空时编码下的仿真，很好的体现了系统的性能，比较实用。(Alamouti space-time coding under the under the simulation, well reflects the performance of the system more practical.)

提出了一种求解电磁场有限元 边界元混合法所生成的线性方程组的有效方法 ———内观 法结合多波前法.由于该线性方程组的系数是一个部分稀疏部分满填充的矩阵,为了加速求解,应用内观法将系数矩阵分为 2块,一块是有限元法形成的稀疏矩阵,另一块是边界元法生成的满阵,然后用多波前法求解稀疏矩阵方程,用高斯 约当消去法解满阵方程. 采用该方法,计算了二维多层介质柱体的雷达散射截面.计算结果表明,该方法的计算效率远远高于传统的高斯法.(Proposed for solving mixed finite element boundary element linear equations generated by an effective method of Vipassana--- a combination of multi wave front method. Since the coefficients of linear equations is a part of the sparsely populated part of the full matrix, in order to speed up the solution, application of Vipassana coefficient matrix is ​ ​ divided into two, one is the finite element method for the formation of the sparse matrix, the other is the boundary element method generates the full array, and then use the multifrontal method for solving sparse matrix equation Gauss Jordan elimination method with full matrix equation solution. use this method to calculate the two-dimensional multi-layer dielectric cylinder of the radar cross section. The results show the computational efficiency of this method is much higher than the traditional Gaussian law.)