dataset_604126

粒子滤波算法的实现程序，采用matlab平台，算法带有重采样步骤，对初学者学习粒子滤波有点帮助。(Particle filter implementation of procedures, using matlab platform, the algorithm with resampling step, for beginners to learn particle filter to some extent.)

ac ac power converter

watermarking using dct

本程序使用matlab编程，可用于水文长时间序列资料的趋势检验。(It is used to test the trend of long hydrological time series data.)

《MATLAB图像处理实例详解》源代码 第15 章 ( MATLAB image processing example explanation Source Code Chapter)

说明：  遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。(GA (Genetic Algorithm) is a simulation of Darwinian theory of evolution by natural selection and genetic mechanism of biological evolution of the computing model is a natural evolutionary process by simulating the optimal solution search method, which originally developed by the University of Michigan J.Holland Professor in 1975 first proposed and published an influential monograph "Adaptation in Natural and Artificial Systems", GA this name was gradually known, J.Holland raised by Professor GA is usually simple genetic algorithm (SGA ).)

本文件是一个基于matlab环境下的手势识别程序。(This document is based on matlab environment gesture recognition program.)

matlab rlc la concha de tu madre

说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)

卡尔曼滤波程序的滤波程序分手那疯了数据分类开始的杰弗里斯(kalman filter)