DWTwavelet

TCSC controller for everyone, i try my best, but maybe it s worst

This is a verbatim copy of the LaTeX source in the Technical Report

用于matlab的pca,程序规整。便于理解，思路清晰。(for matlab of pca)

刘金琨老师的《先进PID控制MATLAB仿真》一书中的所有程序(Liu Jinkun teacher s "advanced MATLAB simulation of PID control," a book all of the programs)

对于已经给定的特征，能够运用神经网络强大的处理复杂数据稳定的能力，给予有效的分类，达到很好的识别效果。(Has been given the characteristics of the use of powerful neural network to handle complex data and stable capacity to give a valid classification, to achieve good recognition results.)

说明：  利用该程序可实现插值运算，达到差值滤波，CI插值滤波器的实现(cascador integrator comb fliter s design)

用matlab实现了对于离散傅里叶变换求其循环卷积(Achieved with matlab discrete Fourier transform for the cyclic convolution)

卡尔曼滤波同滑动平均法滤波的比较 附波形图(Kalman filter with a sliding average filter with waveforms)

空间目标识别，采用PM算法，是国外的成品模型，数值分析的EULER法。( Space target recognition algorithm using PM, Foreign model is finished, EULER numerical analysis method.)

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)