ParticleFilter

说明：  蚁群算法，最基本的，有效的解决TSP问题(Ant colony algorithm, the most basic and effective problem solving TSP)

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

Eigenfunctions of integrable planar billiards are studied — in particular, the number of nodal domains, ν of the eigenfunctions with Dirichlet boundary conditions are considered. The billiards for which the time-independent Schrö dinger equation (Helmholtz equation) is separable admit trivial expressions for the number of domains. Here, we discover that for all separable and nonseparable integrable billiards, ν satisfies certain difference equations. This has been possible because the eigenfunctions can be classified in families labelled by the same value ofm mod kn, given a particular k, for a set of quantum numbers, m, n. Further, we observe that the patterns in a family are similar and the algebraic representation of the geometrical nodal patterns is found. Instances of this representation are explained in detail to understand the beauty of the patterns. This paper therefore presents a mathematical connection

光伏并网系统 三大服务而非我基于PI控制的电流内环控制 (PV grid system three services rather than my inner current loop control based on PI control)

说明：  matlab使用guide界面对滤波器设计，可实参数填写来获得低通，带通，高通等滤波器，这里有源代码，及guide界面，适合初学者学习参考。(Guide to filter matlab use interface design, can fill in to get real parameters low pass, band-pass, qualcomm, filter, here are the source code, and guide interface, is suitable for beginners learn reference.)

code for image subtraction

比较了几种自适应算法用于信道均衡的性能，包括LMS、NLMS、RLS等。包含仿真代码和理论的结果分析，以及自适应滤波理论的课件。(Compare the performance of several adaptive algorithm for channel equalization, including LMS, NLMS, RLS and so on. These results include simulation code and theoretical analysis, and courseware adaptive filtering theory.)

数字信号处理及其matlab实现，绝对好资料，实用，方便新人学习(Matlab digital signal processing and its realization)

semi-supervised LLE,matlab codes.

this is simmulation 64-qam modulation in rayleigh channel