LED_road

solve tsp using genetic algorithm using GUI matlab code

该程序对矩阵的求逆运算进行了matlab编程，简便，通用，精度高(The application of matrix inversion has carried on the matlab programming, simple, universal, high precision)

achieving smallest MSE (in noise contamination)

说明：  Matlab电磁波FDTD传输程序 模拟一天线发射电磁波在不同介质中的传播。(The Finite-difference time-domain (FDTD) method belongs in the general class of grid-based differential time-domain numerical modeling methods. The time-dependent Maxwell s equations (in partial differential form) are discretized using central-difference approximations to the space and time partial derivatives. The resulting finite-difference equations are solved in either software or hardware in a leapfrog manner: the electric field vector components in a volume of space are solved at a given instant in time then the magnetic field vector components in the same spatial volume are solved at the next instant in time and the process is repeated over and over again until the desired transient or steady-state electromagnetic field behavior is fully evolved. )

说明：  TFBSS是一种基于短时傅里叶时频分析的盲源分离算法，算法基于卷积混合。处理非平稳源信号。(TFBSS performs Blind Source Separation of (over)determined multiplicative mixtures of non-stationary real valued sources. TFBSS is based on the joint-diagonalization of whitened and noise-compensated Spatial Time-Frequency Distribution (STFD) matrices of the observations, corresponding to single auto-terms positions, as described in: C. Févotte and C. Doncarli. "Two contributions to blind source separation using time-frequency distributions", IEEE Signal Processing Letters, 2004. IEEE Signal Processing Letters, vol. 11, no. 3, Mar. 2004. pdf and A. Holobar, C. Févotte, C. Doncarli, and D. Zazula. "Single autoterms selection for blind source separation in time-frequency plane". In Proc. 11th EUSIPCO, Toulouse, France, 2002 (Special Session on Source Separation). pdf )

求解非线性系统的李雅普诺夫指数的MATLAB程序(Lyapunov index of the nonlinear system of MATLAB)

matlab 视频读取方式的研究，有好多种方法，很好用哟(matlab video read mode, there are a variety of methods well with yo)

说明：  psat最新版本的说明书，对先前版本的精简和补充(psat latest version of the specification, the streamlined version of the previous and supplements)

用于消噪处理用于研究Mallet算法及滤波器设计分解的高频系数采用db9较好,即它的消失矩较大(for Signal Processing Algorithms for the study Mallet decomposition and filter design using high-frequency coefficients db9 better, that is, its larger vanishing moments)

mpsk modulation with fading channel