li9_1

FBG反射谱，要用的人会非常需要，需要的人可以看看，很不错的(FBG id1=fopen( lambdaCMT.txt , wt ) fid2=fopen( rhoCMT.txt , wt ) f1=inline( -i.*delta.*y1-k.*y2 , t , lambda , wk , delta , k , y1 , y2 ) f2=inline( -k.*y1+i.*delta.*y2 , t , lambda , wk , delta , k , y1 , y2 ) lambda=1547 while lambda<1552 t0=-501426 h=2.0057e+003 n=500 y1=1 y2=0 )

极大化非高斯性的infomax ICA。和好很强大，希望对大家有所帮助(The maximization of non-Gaussian nature infomax the ICA. Very powerful and good, we hope to help)

说明：  120多个用MATLAB编写的信号处理程序，它们是本书各个章节的大部分例题。用MATLAB编写的程序的名称由“exa”开头，接下来是所在的章、节及例题的序号，如exa010101,指的是第1章第1节（即1.1节）的第1个例题，即例1.1.1。如果该程序是为了说明某一个m文件的应用，则在上述名称的后面跟一个下划线，再在后面加上所说明的MATLAB文件的名称，如exa011001_rand，即是例1.10.1,该例用来说明rand.m文件的应用。(More than 120 signal processing programs written in MATLAB are most of the examples in each chapter of this book. The name of the program written in MATLAB begins with "exa", followed by the ordinal number of the chapters, sections and examples, such as exa0101, which refers to the first example of chapter 1, section 1 (i.e. section 1.1), namely example 1.1.1. If the program is to illustrate the application of an M file, then follow the above name with an underscore, and then add the name of the MATLAB file, such as exa011001_rand, which is Example 1.10.1. This example is used to illustrate the application of rand.m file.)

RSSI线性化求解坐标，三维的RSSI的值，构成RSSI的矩阵，计算循环K次的误差曲线(Solving linear coordinates RSSI)

QAM多进制调制的整个过程的GUI实现。每个过程都显示了信号和频谱(QAM transmission of the whole process of GUI implementation. Each process the signal and spectrum are shown)

基于saleh模型的记忆放大器仿真程序，用做预失真均衡项目可以用的前置记忆功率放大器的非线性失真模型。(simulation for memory prodistorition )

非时序和时序蒙特卡罗方法来求解风力发电系统可靠性(Non-sequential Monte Carlo method and timing to solve the wind power system reliability)

混沌时间序列 GP算法求关联维的另一种方法(GP algorithm for chaotic time series correlation dimension seek another way)

dct与fft联合信号处理,及改进的ESPRIT算法，提高信号分析精度(dct and fft joint signal processing and improved ESPRIT algorithm to improve the accuracy of signal analysis)

获得图像局部增强时，每个象素的指数增强系数，指数增强系数有原图像中的灰度值与其周边象素比较获得([Coeff_en_local, lum_mask]=enhance_coeff_local_bilateral(lum_ori,window_r,sigmad,sigmar))