Nakagami_Generation

A color image is DCT transformed watermark embedded into the intermediate frequency coefficients to the effect of a good algorithm is the classic reference value has a strong image of yourself for the

this matlab program shows the cirrent varation for solar cell

该程序是一个振荡相位噪声模型。相位噪声是衡量频率标准源(高稳晶振、原子频标等)频稳质量的重要指标，随着频标源性能的不断改善，相应噪声量值越来越小，因而对相位噪声谱的测量要求也越来越高。(The program is a model of phase noise oscillator. Phase noise is a measure of frequency standard source (high stability crystal oscillator, atomic frequency standard, etc.) an important indicator of the quality of the frequency stability, with the frequency standard source performance continues to improve, the corresponding noise value smaller, and thus the phase noise spectrum of the measurement requirements higher and higher.)

this program water mark a sound in picture with GUI based on haar transfrom

this program simulates 2D electromagnetic Maxwell equations in transverse magnetic mode , by using finite difference time domain method FDTD

数字图像处理，实现图像中的实现 Huffman 编码，是图像编码的一种方法。(Digital image processing, the image realized Huffman coding, is a method for image coding.)

基于互相关matlAB图像配准代码，压缩文件包括源文件，GUI设计文件。程序能自动配准图像，能手动选择要配准的图像(Based on cross-correlation matlAB image registration code, source files, including compressed files, GUI design files. Automatic image registration procedures, registration can manually select the image you want to)

针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验证了本文算法的 有效性(For the estimation of noncircular signals of DOA, proposes a decomposition value based on real valued features (Eigenvalue decomposition, EVD) the root MUSIC algorithm. Firstly, characteristics of non circular signals for real valued signals, the array data and its conjugate with the Euler formula into real value of sine and cosine and sine and cosine data. The data series, thus expanding the dimension of the data. Because of the use of real valued matrix computation in EVD, so the EVD stage was simplified as a complex valued EVD 1/4. according to the characteristics of signal and noise subspace is obtained after EVD, the noise subspace and orientation matrix reconstruction in order to facilitate the use of DOA can obtain the estimated root MUSIC the algorithm. The simulation results verify the effectiveness of the proposed algorithm)

用matlab实验k-means算法，对数据进行分类。(Matlab experiments using k-means algorithm to classify the data.)

力矢量算法实现的画图程序，编写环境matlab， 3D 本人原创 (force-oriented graph drawing algrithm, 3D, computer science applied)