cod_pid_neural

Lucas_Kanade光流算法产生光流场，用matlab编译(Optical flow algorithm Lucas_Kanade optical flow field generated by the compiler matlab)

Frequency Hopping Spread Spectrum

相位法峰平比降低技术,包括NEWMAN法和优化法,给出了降低之后的结果.(Phase-based method PAPR reduction techniques, including NEWMAN method and optimization method is given to reduce after the results.)

使用matlab做的离散时间单位冲激响应(Discrete-time unit impulse response)

射线追踪,包含了起点和终点的射线函数，对于地震传播研究具有重要意义！(Raytracing in a v(z) world. The toolbox contains functions forshooting fans of rays and functions for tracing rays with specific start and end points. General multi-bounce rays with any number of mode conversions can be traced. Automatic routines for P-P and P-S primaries in shot-gather geometry are provided for convenience. Any recording geometry can be used but most functions vectorize (e.g. are most efficient) for shot-gather geometry. Only traveltimes and rayparameters are detemined, not amplitudes. In these routines, the velocity models should be considered as "background" models. This means that the depths at which flections and mode conversions occur are dependent of the depths given as layer boundaries in the velocity models. Velocity models are specified by a vector of velocities and a same-size vector of depths. The j th velocity is in effect from the j th to the j+1 th depth. The bottom of the model is assumed at infinite depth. Thus v=5000 and z=0 specifies a cons)

包括单边带、双边带、载波抑制及四倍频,有借鉴意义哦，AHP层次分析法计算判断矩阵的最大特征值。( Including single sideband, double sideband, suppressed carrier and quadruple, There are reference Oh, Calculate the maximum eigenvalue judgment matrix of AHP.)

粒子群算法OptSwarm记录每个粒子的历史最优解（粒子历史最好的适应度）以及全部粒子搜索到的全局最优解。用Wg代表全局最优解，W.,1代表每个粒子的历史最优解。粒子群初始化阶段表OptSwarm的前N行与表ParSwarm中的相同，而Wg的值为表ParSwarm中适应度值的最大值对应的行。(Particle swarm algorithm OptSwarm record the history of each particle the optimal solution (particles history best fitness), and all the particles of the search to the global optimal solution. Use Wg represents the global optimal solution, w., 1 representative of each particle history to the solution. Particle swarm initial stage OptSwarm table before the line and the table ParSwarm N is same, and the value of the ParSwarm Wg for tables in the maximum fitness value corresponding line. )

multisim 实现am dsb ssb 调制(multisim design)

PCA的matlab程序及实例，供参考和学习。(PCA matlab procedures and examples for reference and learning.)

Single phase bridge rectifier simulation using matlab simulink