nni

matlab编写滤波的源代码，小弟花了几天时间编写的，希望对大家有所帮助(matlab source code for the preparation of filtering, younger brother spent a few days to prepare, and I hope all of you to help)

a example of kalman filter run on matlab

matlab没有提供画椭圆的函数，该函数在获得椭圆中心 长轴轴 短轴后进行画椭圆，其中使用复变函数(did not draw an ellipse matlab function, the function in the long axis of the axis minor axis of the ellipse center painted oval, which use the complex function)

一种全新的计算嵌入维数的算法，读者可以根据自己的需要再编写。(a new qianru suanfa of chaos)

时频分析简单例程，WV和短时变换程序.代码简便，保证可以应用(Time frequency analysis of simple routines, WV and short-time transform program)

A Matlab script to simulate a Phase-Locked Loop (PLL). This is a type II PLL ie it has two integrators (one of these is the VCO itself). It is simulated with an FM (frequency modulation) input. The output is the demodulated baseband signal

Help psoToolbox V1.0 psoToolbox provides an interective GUI based Toolbox to solve optimization problems using particle swarm optimization. Creat a fitness function in M-file. Inputs: Function : Function handle of fitness function. Nvars : Number of variable to be optimized. LB : Lower Bound of Nvars (1 X Nvars) UB : Upper Bound of Nvars (1 X Nvars) Parameters: C1 : Cognative Attraction C2 : Social Attraction W : Inertial Population Size : Number of Swarms Max Iterations : Maximum number of epochs. Click on " RUN PSO " button to start PSO search. You will get the out put at Edit box below the axes.

matlab例子，用来计算bezier曲线(matlab example, used to calculate the Bezier curve)

This paper presents a new and efficient approach for capacitor placement in radial distribution systems (RDS) that determine the optimal locations and size of capacitor with an objective of improving the voltage profile and reduction of power loss. The solution methodology has two parts: in part one the loss sensitivity factors (LSF) are used to select the candidate locations for the capacitor placement and in part two a new algorithm that employs Dijkstra Algorithm (DA) is used to estimate the optimal size of capacitors at the optimal buses determined in part one. The main advantage of the proposed method is that it does not require any external control parameters. The other advantage is that it handles the objective function and the constraints separately. The proposed method is applied to 33 & 69 RDS. The solutions obtained by the proposed method are compared with other methods. The proposed method has outperformed the other methods in terms of the quality of solution. OPTIMAL C

实现遗传算法GA和BP神经网络的最优化问题(Realization of genetic algorithm GA and BP neural network optimization problem)