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Particle filtering is an non-parameterized algorithm via sequential Monte Carlo simulation to actualize bayesian estimation. This paper expatiated the development and the research status of particle filtering at present.Then,introduces and analyses the principle of particle filtering、the existed key problems and countermeasures in detail.Furthermore,it sum up eleven improved methods of particle filtering algorithm.Meanwhile,applications are addressed in this paper.Finally ,the prospect of particle filtering is presented.

直流电机双闭环调速系统MATLAB仿真，有程序，有word报告，有出图(DC motor double closed loop speed control system MATLAB simulation)

Genetic Algorithm Tool功能描述(Genetic Algorithm Tool)

analisis WVD wigner ville distribution

说明：  基于matlab的振动数据处理教程及源代码(Matlab based vibration data processing tutorial and source code)

matlab幻灯片，对做信号的同行有所帮助，希望可以共同交流！(matlab slides, make the signal for peer help, want to share!)

工业图像处理软件，但没有数据库，具体操作说明见(Industry image processing software, but there is no database, see the specific operation instructions)

说明：  无线中继协作下的AF、DF性能传输分析，信道采用的瑞利信道。(AF and DF performance transmission analysis under the wireless relay cooperation, Rayleigh channel adopted by the channel.)

C均值聚类算法的matlab编写。此程序根据模式识别书上C均值聚类的过程进行编写。没有用到工具箱。(this program is based on Patten Recongnize knowledge to design a system about C means method.)

说明：  2代小波示意程序 2维小波变换经典程序 Daubechies小波基的构造 采用多孔trous算法(undecimated wavelet transform)实现小波变换 平移变换平移法(cycle_spinning)消除gibbs效应 提升法97经典程序 消失矩作用的程序 小波插值与小波构造 小波滤波器构造和消噪程序 小波谱分析mallat算法经典程序(2 Generation Wavelet indicated procedures classic 2-D wavelet transform procedures for Daubechies wavelet bases constructed using porous trous algorithm (undecimated wavelet transform) the realization of wavelet transform translational translational transform method (cycle_spinning) to eliminate Gibbs effect of lifting 97 vanishing moments the role of the classic procedure of wavelet interpolation procedure value structure of wavelet and wavelet de-noising filter structure and procedures of small Mallat algorithm for spectral analysis of the classical procedures)