Harris-yaxiangsu-Matlab

说明：  修改后的SPIHT代码，比有链表SPIHT压缩速度快。(Modified SPIHT code, than to have the list SPIHT compression speed.)

用matlab仿真实现了25 kHz 带宽内同时传送总共48 kbit/s 的两路语音(每路速率9. 6 kbit/s) 和两路数据信息(速率分别为19. 2 kbit/s 和9. 6 kbit/s) , 仿真结果表明达到了较好的误码性能。并比较了4 种数字调制方式下O FDM 系统的误码性能。(using Matlab Simulation bandwidth of 25 kHz simultaneous transmission within a total of 48 kbit/s 2 Road Voice (rate of 9 per road. 6 kbit/s) and two road data information (rate of 19. 2 kbit/s and 9. 6 kbit/s), the simulation results indicate achieve a better BER. And comparison of four types of digital modulation mode O FDM system BER.)

单相光伏并网系统，逆变器采用dq下的PI控制(Single phase photovoltaic grid connected system, inverter using PI under the DQ control)

模拟退火算法简介及解决实际问题的代码Matlab程序(Introduction and simulated annealing algorithm to solve practical problems Matlab program code)

一个直扩同步的模块，用于伪码的捕获和多普勒频移的提取(A synchronous DS module for pseudo-code capture and extraction of Doppler frequency shift)

OLIVETTI FAX-LAB 115 user guide

SOM神经网路和DML的结合，CVPR2014文章仿真，保证分类器的Discriminative特性和SOM快速匹配特性！(the combination of the SOM neural network and the distance metric learning method)

输入为一个序列或两个序列，输出为其自相关序列或互相关序列(Input as a sequence or two sequences, the output of its autocorrelation sequence or cross-correlation sequence)

说明：  粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。 粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values ​ ​ of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)

说明：  有关雷达MTD算法中用到的fft和fir算法的仿真程序(Radar MTD algorithm)