kal

A Level set based interpolation algorithm for image processing which is especially helpful for beginners.

LCMV优化设计阵列处理信号，可以广泛的应用于数据预测及数据分析,在MATLAB中求图像纹理特征，包括广义互相关函数GCC时延估计，数据模型归一化，模态振动，采用了小波去噪的思想，快速扩展随机生成树算法，主要是基于mtlab的程序。( LCMV optimization design array signal processing, Can be widely used in data analysis and forecast data, In the MATLAB image texture feature, Including the generalized cross-correlation function GCC time delay estimation, Normalized data model, modal vibration, Using wavelet denoising thought, Rapid expansion of random spanning tree algorithm, Mainly based on the mtlab procedures.)

里面包含有几个非常好的基于粒子群优化的算法和基于matlab的源程序，对研究粒子群和优化的朋友很有帮助。(Which contains a few very good based on particle swarm optimization algorithm and matlab based on the source, the study of particle swarm optimization and helpful friends.)

牛顿迭代法，用于对通用多项式的计算，可自己设置处置，精度等(Newton iterative method for the calculation of general polynomials can set up their own disposal, precision)

说明：  用matlab实现自己编程实现图像处理，通过matlab强大的功能显示效果(Realize their own programming with matlab histogram equalization, by matlab powerful display)

matlab MPPT仿真,定步长电导增量法，在matlab2011上验证可以使用(matlab mppt)

Support Vector Machine matlab code

自动控制原理及其PID仿真程序 1.原理 2.设计 3.仿真(automatic control thesis and pid simulink program 1.thesis 2.design 3.simulink)

粒子群优化工具箱，采用Matlab编写的PSO程序工具箱(Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance improvement: Automatically vectorize fitness functions supplied by user, if not already vectorized. * Performance improvement: Detect and eliminate dependent (i.e. redundant) linear constraints. * Performance improvement: Automatically choose "penalize" versus "soft" constraint handling method based on type of constraints in problem. If any equality constraints exist, using "penalize", otherwise default to "soft". If "soft", automatically switch to "penalize" if more than a given percentage of particles (initial or interim) are infeasible. * Feature: An output function defined by options.OutputFcns that can save current swarm state in a file which can be reloaded later as a problem structure, in case of a system crash. * Feature: Implement multiobjective optimization option)

model using matlab simulink