射线追踪法

This a matlab code for nested dissection.(This Matlab code for a nested dissection.)

采用MATLAB对常见插值 和拟合算法进行变成，并附有PPT文档说明(Using MATLAB and the fitting of the common interpolation algorithms become, along with documentation PPT)

求zernike矩 通过使用matlab的矩阵操作计算一幅图像阶为6重复度为6的zernike矩。(Find zernike matlab matrix operations through the use of an image calculated degree of order 6 Repeat zernike moments 6.)

各种方法的去噪程序 den1.m 使用半软阈值方法对图像进行去噪 den1_5_1.m 半软阈值的改进方法 对第一层重构图像进行均值滤波 den1_9.m 半软阈值的改进方法 将线性衰减的函数改为指数的 den1_10.m 半软阈值的改进方法 对第一层的重构图像再次进行小波阈值去噪 den2.m 用软硬阈值函数的改进方法进行去噪 den3.m 用广义阈值函数进行去噪 den4.m 用自适应特征阈值函数进行去噪 wdenoise.m 用Donoho阈值或Birge-Massart策略及软阈值或硬阈值函数进行去噪 meanfilter.m 均值滤波方法进行去噪(对比用) medfilter.m 中值滤波方法进行去噪(对比用)(Denoising procedures for various methods Den1.m using semi soft threshold method for image denoising The improved method of den1_5_1.m semi soft threshold for the first layer of the reconstructed image The improved method of den1_9.m semi soft threshold will be changed linear to exponential. The improved method of den1_10.m semi soft threshold for the first layer of the reconstructed image again for wavelet thresholding denoising Den2.m using the soft and hard threshold function to improve the method of denoising Den3.m using generalized threshold function for denoising Den4.m with adaptive feature threshold function for denoising Wdenoise.m with Donoho threshold or Birge-Massart strategy and soft threshold or hard threshold function for denoising Meanfilter.m mean filtering method for denoising (contrast) Medfilter.m median filtering method for denoising (contrast))

说明：  无需测距算法 DV-Hop定位算法 3个文件 随机部署节点 邻居计算 和 DV-Hop定位三个 每个都是一个函数 输入参数即可运行(range-free DV-Hop localization algorithm. Including three files square_random,calculate_neighbor and DV-Hop)

说明：  支持向量机的MATLAB代码,包括分类与回归,可帮助学习机器学习算法(MATLAB S SVC DODE)

阵列信号处理中MUSIC算法的MATLAB仿真代码，包含二维和三维(Array signal processing MATLAB simulation code of the MUSIC algorithm, including 2D and 3D)

matlab code for mdct

GUI源程序，与21世纪电子论坛系列教程中10分钟学习GUI课程配套使用(GUI source code,the 21st Century electronic forum tutorial series of 10-minute learning GUI programs )

The demand of high data rate services has been increasing very rapidly and there is no slowdown in sight. We know that the data transmission includes both wired and wireless medium. Often, these services require very reliable data transmission over very harsh environment. Most of these transmission systems experience much degradation such as large attenuation, noise, multipath, interference, time variance, nonlinearities and must meet the finite constraints like power limitation and cost factor. One physical layer technique that has gained a lot of popularities due to its robustness in dealing with these impairments is multi-carrier modulation technique. In multi-carrier modulation, the most commonly used technique is Orthogonal Frequency Division Multiplexing (OFDM)