PhotonicCrystals

this is matlab file for ICA

本程序设计了常用的几个坐标系的转换，从WGS—84与PZ－90坐标系的相互转换，以及空间直角坐标系与大地坐标系的转换。(This procedure has designed a number of commonly used coordinate system conversion from WGS-84 and PZ-90 coordinate system conversion, as well as the spatial Cartesian coordinate system and geodetic coordinate system conversion.)

详细介绍了格行滤波器的性能和仿真实现过程。(Detailed cell line filter performance and Simulation.)

face detection matlab code

无线传感器网络仿真LEACH协议，希望有人能改进下(Wireless sensor network simulation LEACH protocal, under the hope that someone can improve)

naive bayesian classifier in matlab

MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran. You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas. MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages and applications, and distribute your MATLAB algorithms and applications.

说明：  计算2D或3D空间曲线的曲率和曲率半径信息，并绘制出曲率半径向量(The curvature and curvature radius information of 2D or 3D space curve are calculated, and the curvature radius vector is drawn)

雷达信号处理matlab仿真处理程序合计(包含各种雷达处理子程序）(Simulation of radar signal processing matlab total treatment program (including a variety of radar deal Subroutine))

In computer science and information theory, data compression, source coding,[1] or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either be lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying marginally important information and removing it. The process of reducing the size of a data file is popularly referred to as data compression, although its formal name is source coding (coding done at the source of the data, before it is stored or transmitted).