MM

Included are the files wav1.m, wav2.m, wavecoef.mat and readme. wav2 function implements the tree structured wavelet transform of the input matrix, up to the given level of decomposition. Wav2 uses another function called wav1, which takes the well known wavelet transform of the given matrix. Daubechies wavelet coefficients are used for wavelet transform operation wahich is saved in wavcoeff.mat. (Included are the files wav1.m, wav2.m. wavecoef.mat and readme. wav2 function biennium max the tree structured wavelet transform of t he input matrix. given up to the level of decomposition. Wav2 use s wav1 another function called, which takes the well known wavelet transform of the given matrix. Daubechies wavelet coeffici separations are used for wavelet transform operation w ahich is saved in wavcoeff.mat.)

Code for plotting bessel functions

说明：  Adaptive Power Loading for OFDM-based Cognitive Radio Systems

calculation of high pressure properties for chemical engineering applications

自己编写的BFSK调制与解调，内含matlab-figure-file、matlab-M-file和得出的jpg格式图形！(I have written BFSK modulation and demodulation, containing matlab-figure-file, matlab-M-file and come to the jpg format graphics!)

说明：  一种FxLMS自适应滤波算法 LMS自适应滤波算法RLS自适应滤波算法变换域自适应滤波算法仿射投影算法共扼梯度算法基于子带分解的自适应滤波算法基于QR分解的自适应滤波算法算法性能评价变步长的自适应滤波算法时变系统跟踪速度与收敛精度方面对算法调整步长因子u的矛盾,但变步长中的其它参数的选取还需实验来确定,应用起来不太方便。对RLS算法的各种改进,其目的均是保留RLS算法收敛速度快的特点而降低其计算复杂性。变换域类算法亦是想通过作某些正交变换使输入信号自相关矩阵的特征值发散程度变小,提高收敛速度。而仿射投影算法的性能介于LMS算法和RLS算法之间。共扼梯度自适应滤波算法的提出是为了降低RLS类算法的复杂性和克服某些快速RLS算法存在的数值稳定性问题。信号的子带分解能降低输入信号的自相关矩阵的特征值发散程度,从而加快自适应滤波算法的收敛速度,同时便于并行处理,带来了一定的灵活性。(A FXLMS adaptive filtering algorithm)

一种自适应滤波算法，适应滤波、去噪的一个小程序(An adaptive filtering algorithm )

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.)

很好很强大 (GOOD)

对具有随机噪声的二阶系统的模型辨识(用改进的神经网络MBP算法辨识)(of random noise with the second-order system model (used to improve the neural network algorithm for identification MBP))