PQflow

the attached file consists of matlab code for implementation of sequential importance sampling particle filter given in IEEE paper entitled as "A TUTORIAL ON PARTICLE FILTERS FOR ONLINE NONLINEAR NON GUASSIAN BAYESIAN TRACKING"

calculate moy of the signal

说明：  利用小波变换的图像压缩算法，大家共同探讨，共同学习(Wavelet transform image compression algorithm, we explore, learn together)

This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detecting multiple minimizers are described. Moreover, results on the ability of the PSO in tackling Multiobjective, Minimax, Integer Programming and
1 errors-in-variables problems, as well as problems in noisy and continuously changing environments, are reported. Finally, a Composite PSO, in which the heuristic parameters of PSO are controlled by a Differential Evolution algorithm during the optimization, is described, and results for many well-known and widely used test functions are given.

在科学与工程计算中，用来模拟洛伦茨系统的程序。(Scientific and Engineering Computing, the procedure used to simulate the Lorenz system.)

Zernike moments calculation. Two functions, one for polynomial calculation and one for moments calculation

相干函数的MATLAB实现程序，欢迎大家下载(Coherence function of the MATLAB implementation process, are welcome to download)

基于matlab平台开发，实现针对静态图像，或者视频帧的背景区域操作(Matlab-based platform development and against static images, or video frame the background of regional operations)

As was pointed out to investigate the behavior of synchronous generator using a simple model (model steady state) is not sufficient so that the equations obtained in the dq. For simulation models to make them as equations of state:

说明：  最坏情况鲁棒自适应波束形成优化。实际应用中,由于阵元位置的细微偏差、阵元之间的幅度相位响应也不可能完全相同、以及有限采样效应等因素,使得实际的方向矢量与其理想值之间存在误差,严重影响了波束的性能。针对这一问题，论文作者在最坏情况下自适应波束形成方法进行研究，并作比较。(Worst case robust adaptive beamforming optimization. In practical applications, the errors between the actual direction vector and its ideal value are caused by the slight deviation of the element position, the impossibility of identical amplitude and phase responses between the elements, and the limited sampling effect, which seriously affects the performance of the beam. In order to solve this problem, the author of this paper studies and compares the adaptive beamforming methods in the worst case.)