ocd_prog

matlab/simulinkSfunctionC文件例子源码matlab/simulinkSfunctionC文件例子源码ghh(matlab/simulinkSfunctionC example source file matlab/simulinkSfunctionC example source file matlab/simulinkSfunctionC example source file bold)

calcs standard atmosphere

主要是利用维纳滤波器、deconvreg、deconvlucy等对模糊图像进行恢复(Wiener filter, deconvreg, deconvlucy, fuzzy image recovery)

说明：  通过matlab的强大的计算功能，生成由1024点构成的正弦波、三角波、锯齿波，同时在界面显示波形。(Through the calculation of the power of matlab functions to generate points from 1024 constitute the sine wave, triangle wave, sawtooth wave, at the same time show the waveform of the interface.)

实现神经网络PID进行编程，仿真，此神经网络是BP神经网络。(Realize the neural network PID programming, simulation, the neural network is BP neural network.)

基于奇异值分解的卡尔曼滤波器的设计与实现，matlab代码(Design and Implementation based on singular value decomposition of the Kalman filter, matlab code)

脉宽调制（PWM）波形图的仿真模型，用于谐波的分析，可用于逆变器的控制策略研究(Pulse width modulation (PWM) waveform simulation model for harmonic analysis, can be used for inverter control strategy research)

说明：  小波变换对脑电信号处理有用，采用db4小波对脑电信号7层分解(Wavelet is useful for EEG signal processing)

介绍卡尔曼kalman滤波器原理的书籍，可以由此衍生出后来的相关性质(Introduced the principle of Kalman filter kalman and books, which was derived from the related properties)

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)