matlabPQ分解法fa

LibSVM工具箱，在matlab环境下实现，完整的与VC接口！更多访问个人主页：http://huangbo929.blog.edu.cn(LibSVM toolbox in Matlab environment achieved, and the integrity of the VC interface! More personal visit Home : http://huangbo929.blog.edu.cn)

通过对各种窗函数的matlab仿真，比较各种窗函数的频谱特性，并且将不同的窗函数加权到脉压信号上，观察特性的优劣(Based on all kinds of window function of matlab simulation, compare all kinds of window function, the characteristic of the frequency spectrum of and different window function weighting to the pulse pressure signal, the merits of the observed features)

说明：  语音的语谱图绘制，MATLAB实现，可调参数(Speech Spectrogram rendering, MATLAB implementation of adjustable parameters)

空间谱估计，DOA到达角估计，MUSIC算法仿真以及延伸算法(Spatial spectrum estimation, DOA DOA estimation, MUSIC algorithm simulation and extended algorithm)

宽带认知无线电频谱感知方法，两种常用方法，新颖方法(Broadband cognitive radio spectrum sensing method, two common methods, novel methods)

The code for JPEG realisation with some mistakes caracteristics.

鉴于LCD方法存在的问题，本文提出了一种基于互相关匹配端点延拓局部特征尺度分解（Cross-correlation matching endpoint Extension Local Characteristic scale Decomposition，简称CELCD），由于LCD分解原理是依据信号的局部极值点信息不断进行筛分信号，在信号分解时需要先确定信号的局部极值点，而信号的两个端点可能不是极值点，因此在信号两端点就会出现虚假成分，且该现象随着分解的进行向数据内部扩散，产生端点效应，导致分解结果失真。而CELCD方法的本质在于探索待分解信号前后端的数据规律，延长波形，使得端点效应不出现在原始信号分解的片段上，从而消除端点效应。(Given the LCD method has a problem, this paper presents a cross-correlation based on local feature matching endpoint extension scale decomposition (Cross-correlation matching endpoint Extension Local Characteristic scale Decomposition, referred CELCD), since the LCD decomposition principle is based on the signal of local optima ongoing screening point information signal, when the signal decomposition needed to determine local extreme point of the signal, and the two endpoints signals may not be extreme point, so the two end points of the signal will be fraudulent, and that the phenomenon with decomposition of the data in the internal diffusion, resulting end effect, leading to decomposition distortion. The essence of the method is to explore CELCD data signal to be decomposed before and after the end of the law, to extend the waveform, so the end effect does not appear on the original signal decomposition fragments now to eliminate the end effect.)

System identification with adaptive filter using full and partial-update Recursive-Least-Squares

利用灰关联分析模型判断初始序列与比较矩阵的相关关系，最后是以邓氏灰关联度的大小来判断的。(The use of gray relational analysis model to determine the initial sequence and comparison of the correlation between the matrix, the last of the Tang is gray relational grade to determine the size of the.)

说明：  这个是交通流ＣＡ模型，能够较为真实的仿真出交通流的运行状况，对交通流元胞自动机的人可以学习学习(The CA model of traffic flow, to a more realistic simulation of the operational status of the traffic flow, traffic flow cellular automaton can learn to learn)