vediocompress

Linear Wave Theory velocity and acceralation clalc

图像编码与压缩是数字信息时代的重要工具，在日常生活中都有广泛应用。该程序以matlab为平台，实现图像的压缩与融合。(Image coding and compression of digital information age is an important tool in their daily lives are widely used. Matlab in the program as a platform to achieve image compression and integration.)

说明：  LMS自适应均衡仿真matlab例子特征值扩散度，步长参数的学习曲线仿真(LMS adaptive equalization Matlab simulation examples eigenvalue proliferation, a step learning curve parameters Simulation)

采用AR法模拟风速，计算时间较短，但精度相对于谐波叠加法略差(AR method using simulated wind speed, the calculation time is shorter, but the accuracy is slightly worse relative to the harmonic superposition)

说明：  Newton-Rapson matlab code

Matlab程序，利用待定系数法局算任意的矩阵函数的结果，内有详细实验报告结果分析(Matlab program, using undetermined coefficient method Bureau arbitrary count the results of matrix function, which has a detailed analysis of the experimental results of the report)

基于掺锗sio2的赛蜜儿方程，数值显示其折射率随波长的变化，可作为光纤纤芯加入(Based on germanium doped sio2 tournament Claudel equations, numerical display its refractive index changes with wavelength, can be added as the fiber core)

This folder contains three files to maniupulate XOR logic. Ist file is for and logic. Second file is for OR logic. They are implemented using matlab 2008 version.

说明：  遗传算法（Genetic Algorithm，GA）最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。该算法通过数学的方式,利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。(Genetic algorithm (GA) was first proposed by John Holland of the United States in the 1970s. It is designed and proposed according to the evolution law of organisms in nature. It is a computational model of biological evolution process simulating natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating natural evolution process. The algorithm transforms the solving process of the problem into a process similar to the crossover and mutation of chromosome genes in biological evolution by means of mathematical method and computer simulation. When solving complex combinatorial optimization problems, compared with some conventional optimization algorithms, it usually can get better optimization results quickly. Genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.)

OFDM- equalization for fading channels