Load-frequency-control

说明：  edge detection with fuzzy in matlab

本文介绍了一种基于核函数的参数估计方法，对于初学者来讲很有帮助(kernel based estimation )

声纳技术 常规的波束形成 信号形式：实信号,f0=1.5kHz，fs=15kHz 与带通采样等效。 统计方位估计性能与信噪比之间的关系，snr=0:30(Sonar technology)

matlab编程：遗传算法求解最大值 matlab编程：遗传算法求解最大值(matlab Programming: Genetic Algorithm for Max matlab Programming: Genetic Algorithm for Maximum)

用matlab编程，采用512个频率点绘制各种窗函数的幅频特性。 (Using matlab programming, 512 frequency points using a variety of window functions mapping amplitude-frequency characteristics.)

contains reeedsolomon code for wireless complete systm

1、掌握用MATLAB计算拉格朗日、分段线性、三次样条三种插值的方法，改变节点的数目，对三种插值结果进行初步分析。 2、掌握用MATLAB作线性最小二乘的方法。 3、通过实例学习如何用插值方法与拟合方法解决实际问题，注意二者的联系和区别。(1. Grasp by matlab calculating Lagrange, segement linear, 3rd order spline these 3 interpolation method. Analisize the 3 interpolation results by changing the No. of points. 2. Grasp the method of linear minimun 2 product mehtod using matlab. 3. Solve the practical problems though the study of example of how to use interpolation and fitting method. Pay attention to the relation and difference of the 2 methods.)

仿真程序：首先需要用一个随机发生器产生（0.1）内的均匀随机数，然后再将该序列映射到对应的幅度电平｛Am｝。然后将这个范围再分成4个相等的区间，这些子区间分别对应于4个信号比特的符号00，01，10，11。检测器观察到r=Am+n，并且计算r和4种可能传输的信号幅度之间的距离，它的输出Bm就是相应于最小距离的信号电平。Bm与真正的的传输信号幅度比较，差错计数器用来对检测器产生的差错计数。(Simulation program: first need to use a random generator (0.1) the uniform random number, then the sequence is mapped to the corresponding amplitude level {Am}. Then this range has been divided into four equal intervals, these sub-intervals corresponding to four signal bits of the symbol 00,01,10,11. Detector observed r = Am+ n, and calculate r and 4 possible transmission distance between the signal amplitude, its output corresponding to the minimum distance Bm is the signal level. Bm and the real rate of transmission of the signal comparison, error detection counter is used to generate the error count.)

此程序是LMS算法实现的一个自适应均衡器,均衡器选取的信道抽头数是11。(the program is adaptive equalizer using Lms to achieve.the channel tap is 11.)

采用改进的启发式搜索粒子群算法进行非线性寻优 具有比较好的效果(The improved heuristic search PSO nonlinear optimization has better results)