AM_DSB_Modulation

代数重构算法，非常经典，典型的求解不适定问题的方法。。ART Algebraic reconstruction technique (Kaczmarz s method)(ART Algebraic reconstruction technique (Kaczmarz s method))

时域解卷积的有关算法，med,mckd meda ,omeda,momeda等(The relevant algorithms for time domain deconvolution, Med, MCKD MEDA, omeda, momeda and so on)

说明：  水听器阵列数据处理算法，适用于仿真，内含多个程序(Hydrophone array data processing algorithm, suitable for simulation, contains multiple programs)

应用matlab语言防真和分析了一个1个频点的跳频通信系统的扩频通信过程；防真和分析了2个跳频信号跳频点的变化情况。(Application matlab language anti-truth and an analysis of the spread spectrum communication process a frequency hopping communication system anti-truth and analyze the changes in the two frequency-hopping signal hopping points.)

this matlab code is calculating the maximum value of the luminous efficacy

声子晶体的源程序：圆柱形散射体呈正三角排列的ＸＹ模的程序(Phononic crystal source: cylindrical scattering lanes are arranged in triangular XY model program)

Plot antenna arrays in 3D

模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。 (Simulation of a group of birds preying on the scene, so as to achieve the purpose of optimizing the objective function, that is, PSO! At first, where feasible, have a space in a group of random particles, and then let the beginning of each particle in a virtual space to fly in all directions, and each particle they have in mind over the fitness value (that is objective optimization function) the highest point , and the whole particle swarm adaptation has a maximum value of the individual, so that particles in the fly when he had flown as far as possible towards the best point and collective best point. Finally reaching the merits of convergence to approximate most purposes.)

基于matlab的BCH与RS的编译码程序，对研究纠错编码的朋友很有参考价值(Matlab-based Encoding and Decoding of BCH and the RS process, the study of error correction coding is very valuable friend)

经典的排队论程序，包括一维和二维排队论模型(Classical queuing theory procedures, including the one-dimensional and two-dimensional model of queuing theory)