pf_colortracker

随着计算机的迅速发展与广泛运用，在众多的领域，科学计算方法的应用越来越广泛了，而MATLAB在进行科学计算方面有着无与伦比的优势。本章介绍MATLAB在计算方法中的运用。(With the rapid development of the computer and widely used in many areas, scientific computing method used more widely, and MATLAB in scientific computing has the advantage of incomparable. This chapter introduces the application of MATLAB calculation method.)

there is some code in matlab that will provide help in the field if digital image processing.it includes the code of extracting region of interst, median filter, nearest neighbour point sampling technique, negative of an image etc. and it is done by myself because i am doing becholar of computer science.it does not include any copyrighted content.i hope it will help thoes people that required help in the field of digital image processing.

A gryroscope guide and study the uses of its.

用径向基函数实现的信道自适应均衡，一个比较简单的例程(Radial Basis Functions Channel adaptive equalization, a relatively simple routines)

智能微电网粒子群优化算法,微源：光伏、风机、发电机、储能等(Smart Microgrid PSO, micro sources: photovoltaic, wind turbines, generators, energy storage, etc.)

有关MIMO雷达发射波束形成的参考文献整理 包括波形设计方法等(About MIMO radar transmit beamforming references finishing with waveform design method)

用matlab实现支持向量机分类算法，通过对数据进行测试训练来进行分类(Using matlab implementation support to the classification algorithms to data, through testing and training to categorize )

margin gui demo margin gui demo margin gui demo margin gui demo

一个身体部位比较模型的新方法网络（BAN）的，可以容纳多个环节和多个科目。所述的绝对测量允许跨频谱可能刻画的比较 从单参数为整个合奏，通过基于参数化到每个活动，每个学科和每个环节模型。使用错误，并明确之间权衡复杂性，在一个善良的适应措施相结合，显示有重要的影响时，适用于一系列典型的禁止通道数据。它是有不同的 在模式的选择的影响，以及它相关的复杂性，混合活动的“日常”的数据，设置活动相比，动态数据（例如步行）。平均路径损耗的不足，甚至位数的路径损失的措施，作为唯一的表征还强调“禁止通道。 (A new approach to compare models for body area networks (BAN) that accommodates multiple links and multiple subjects is presented. The absolute measure described allows comparison across a spectrum of possible characterizations ranging from single-parameter for an entire ensemble, through to per-activity, per-subject and per-link based parameterized models. The use of an explicit trade-off between error and complexity, combined in a goodness-of-fit measure, is shown to have important consequences when applied to a range of typical BAN channel data. It is shown that there are different implications in choice of model, and it’s associated complexity, for mixed-activity “everyday” data, when compared with set-activity dynamic data (e.g. walking). The deficiency of mean path loss, or even median path loss measures, as a sole characterization of the BAN channel is also highlighted.)

This code gives the filter function which has the values as per the various performance metrics.