CONTROL

AdaBoost, short for Adaptive Boosting, is a machine learning algorithm, formulated by Yoav Freund and Robert Schapire. It is a meta-algorithm, and can be used in conjunction with many other learning algorithms to improve their performance.

本程序是地震合成记录的正演模拟程序，包括实现三层地质模型(This program is being synthetic seismograms modeling program, including the realization of three geological model)

非常适合计算机视觉方面的研究使用,含噪脉冲信号进行相关检测,多抽样率信号处理。( Very suitable for the study using computer vision, Noisy pulse correlation detection signal, Multirate signal processing.)

说明：  This is the worked example of using MOESP, the example found in: Subspace Methods for System Identification, written by: Tohru Katayama , "Springer 2005", page 160 example 6.6.

The DocPolynom to Character Converter The char method produces a character string that represents the polynomial displayed as powers of an independent variable, x. Therefore, after you have specified a value for x, the string returned is a syntactically correct MATLAB expression, which you can evaluate. The char method uses a cell array to collect the string components that make up the displayed polynomial. The disp method uses char to format the DocPolynom object for display. Class users are not likely to call the char or disp methods directly, but these methods enable the DocPolynom class to behave like other data classes in MATLAB. Here is the char method.

this program simulates 1D electromagnetic Maxwell equations "soft source", by using finite difference time domain method FDTD

用MATLAB编写的TLS-ESPRIT算法，算法原理可参考张贤达版的现代信号处理，绝对可运行，程序配合书非常容易理解，而且稍微改改就可以变为基本的ESPRIT算法。(Written by MATLAB TLS-ESPRIT algorithm, the algorithm can refer to Zhang XD version of the principle of modern signal processing, absolutely can run the program with the book is very easy to understand, and can become a little change to change the basic ESPRIT algorithm.)

说明：  自己做的一些资料，不大好，但可以看看，一起交流(we can communicate each other)

关于功率放大器非线性建模和线性化的两篇论文资料，详细介绍了所采用的模型和相关算法，很有参考价值。(Those papers are related with pa modeling and linearization, which introduce the pa models and algorithms for those models.)

STFT parameter for ECG data