amr_nb_encoder

Matlab算法分析与设计程序，包括很多搜索算法的源程序。(Matlab algorithm analysis and design procedures, including many search algorithm of the source.)

信号分选，雷达信号分选，雷达对抗信息处理(Signal sorting Radar signal sorting, radar information processing)

信息熵 离散无记忆信道容量的迭代计算 Shannon编码 Fano编码 Huffman编码(Discrete information entropy of the iterative calculation of the memory channel capacity Shannon coding Fano coding Huffman coding)

BP算法例子：用一个五层的神经网络去逼近函数(example_bpnetronetwork_5layers)

基于matlab的激光课程设计，例子，福克斯里迭代法对矩形腔激光器，圆形镜面激光器等的仿真。(laser design)

如何使用MATLAB编程，里面有详细的说明，大家可以试试。满好的教程(How to use the MATLAB programming, which is described in detail, we can try. Man good tutorial)

说明：  matlab高效编程程序第十章，可以运行。(Chapter matlab programming procedure efficient, you can run.)

围绕粒子群的当前质心对粒子群重新初始化.这样，每个粒子在随后的迭代中将在新的位置带着粒子在上次搜索中获得的“运动惯性”（wvi）向Pi，Pg的方向前进，从而可以在粒子群的运动过程中获得新的位置，增加求得更优解的机会.随着迭代的继续，经过变异的粒子群又将趋向于同一点，当粒子群收敛到一定程度时又进行下一次变异，如此反复，直到迭代结束.(particle swarm around the center of mass of the current PSO reinitialization. Thus, Each particle in the next iteration will be in the new location with particles in the last search was the "inertia" (wvi ) Pi, Pg orientation, and thus can PSO course of the campaign was a new position, increase seek better solutions opportunities. With the continued iteration, after variation of PSO will tend to the same point. When PSO converge to a certain extent when the next variation, so repeatedly, until the end of iteration.)

本代码是PID在S函数中的实现，但不同之处在于，本代码先把PID变成状态空间表达式，更加易懂，为本人独创。(This code is the PID in the S function, but the difference is that, this code to put the PID into the state space expressions, more understandable, for my original.)

自己编写的一个卡尔曼滤波c++源程序代码，可以借鉴学习(My writing of a kalman filter c++ source code that can be drawn lessons from learning )