MIMO-OFDM-channel-estiamtion

说明：  灰度图像的位面图程序 matlab环境下写的 希望能有帮助(Gray image Bit plane map program， hopes to help you)

利用牛顿-拉夫逊法实现简单电力系统潮流计算(Newton- Raphson Power Flow Calculation of simple)

本段代码主要是为了实现讲多光谱图像进行光谱分离然后再合并成一种可以在matlab中显示的格式.tif的图像，同时保证了原始的图像信息不丢失(This code is mainly to achieve multispectral images speak for spectral separation and then combined into a format that can be displayed in matlab. Tif image, while maintaining the original image information is not lost)

Mathematica program for BEM Solution of a rectangular domain using linear elements

超宽带无线通信基础，国外UWB经典著作，学习UWB必备书籍，内含大量matlab源码(UWB wireless communication classic,containing a large number of matlab source code)

用SwiftLanguage编写的A Star Routing.(A Star Routing that is created with Swift Language.)

非线性整数规划的遗传算法Matlab程序 通常，非线性整数规划是一个具有指数复杂度的NP问题，如果约束较为复杂，Matlab优化工具箱和一些优化软件比如lingo等，常常无法应用，即使能应用也不能给出一个较为令人满意的解。这时就需要针对问题设计专门的优化算法。下面举一个遗传算法应用于非线性整数规划的编程实例，供大家参考！(Matlab genetic algorithm of nonlinear integer programming Usually, the nonlinear integer programming is a NP problem, having the index complexity if the constraint is relatively complex, the Matlab optimization toolbox and some optimization software lingo, etc, for example, are often unable to apply, even if that can be also cannot give a more satisfactory solution.This is where the problem for design optimization algorithm.Here for a genetic algorithm is applied to nonlinear integer programming programming examples, for your reference!)

本文开发了一个基于手机的心电图处理系统，可实现心电信号灯实时在线的连续检测和处理。(A cellular phone based online ECG processing system for ambulatory and continuous detection has been developed.)

MATLAB simulation of group velocity dispersion in an optical fiber

BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamically cluster incoming, multi-dimensional metric data points in an attempt to produce the best quality clustering for a given set of resources (memory and time constraints). In most cases, Birch only requires a single scan of the database. In addition, Birch is recognized[1] as the, "first clustering algorithm proposed in the database area to handle noise (data points that are not part of the underlying pattern) effectively".