Grey-neural

说明：  16QAM的误码率性能分析的matlab仿真(16QAM BER performance of the Matlab simulation analysis)

matlab环境下编写的对导入的有限元模态振型数据进行动画演示的程序！(matlab environment prepared by the import of the vibration modes of the finite element data animation program!)

This toolbox implements the Nonsubsampled Contourlet Transform

LMS滤波器示例程序，在TURBOC中运行可图形显示的C程序(lms filet test demo)

MatLab_Tutorial is very useful material!

本文为基于D-S证据理论的配电网故障选线，使用matlab仿真，结果可信(D-S theory based fault line detection,the simulation is proved right)

提供了对象已知与未知的广义预测控制（GPC）算法，包含有单步与多部的Diophanine方程求解。(Provides object known and unknown generalized predictive control (GPC) algorithm, includeing single-step and multi-unit Diophanine equation.)

实现温度场分析，matlab的温度应用提供非常好的软件程序(Achieve temperature field analysis, matlab temperature applications to provide very good software programs)

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))

DCT变换1、 提取彩色图像，将图像大小限制为512*512*3； 2、 提取彩色图像三个颜色分量的矩阵，每个矩阵单独处理； 3、 将矩阵分为8*8的块，做DCT变换； 4、 提取每个块的一部分DCT系数做IDCT变换，显示基本图像； 5、 再提取每个块的一部分DCT系数做DCT反变换，得到增强层1，与前一次得到的数据叠加，得到质量更好的图像。 (DCT transform)