Wavelet_denoising

基于standford大学cioffi教授的经典算法，计算有线信道的无限冲击响应滤波器系数。(Based on algorithm proposed by Prof. Cioffi, calculate the optimal IIR coefficients for cable channel.)

去除三维荧光光谱拉曼散射、瑞利散射、二级瑞利散射。matlab m文件(The purpose of the interpolation is to replace the data in the gray areas with new data consistent with the data in the remaining parts of the EEM.)

说明：  power storage battery

有信道编码，调制，信道估计等，MIMO OFDM matlab仿真,实现了对10个数字音的识别程序在matlab R2009b调试通过，微分方程组数值解方法，对HARQ系统的吞吐量分析。( Channel coding, modulation, channel estimation, MIMO OFDM matlab simulation, Realization of 10 digital audio recognition program In matlab R2009b debugging through, Numerical solution of differential equations method, HARQ throughput analysis of the system.)

说明：  matlab编程小车避障，只是最简单的直线行走，躲过障碍物(Matlab programming car to avoid obstacles)

MATLAB实现，可以进行流量制类函数拟合等功能，供参考(MATLAB realization of the flow system can be fitted functions and other functions, for reference)

说明：  matlab 编程（第七版),英文书籍，详细阐述了matlab工具的使用(Timothy A. Davis.MATLAB Primer.7th ed.CRC.2005)

Hurst指数是描述非函数长周期的重要指标。它有别于传统单位根检验，可以发现时间序列存在的超长周期性，可以用于判断市场风险，但运算相当繁琐，单独利用Excel计算费时又费力，作者在充分理解Hurst指数内涵和应用的基础上，利用Excel的宏语言VBA编写宏程序轻松实现Hurst指数的计算，通过这一工作也希望能使Hurst指数能够得到广泛的应用。(Hurst index is to describe the function of the long period of non-important indicator. It is different from the traditional unit root tests, time series can be found in the presence of the long periodicity, can be used to determine market risk, but the operation rather cumbersome, separate consuming and laborious calculations in Excel, the authors fully understand the meaning and application of the Hurst exponent based on the use of Excel macros written in VBA macro language easily Hurst index calculation, also hopes to make this work through the Hurst exponent can be widely used.)

说明：  较新的优化算法，麻雀算法优化BP神经网络权值与阈值；(the key parameters of BP are choosed automatically by Sparrow Search Algorithm.)

从灰度图像去噪图像自适应中值滤波器。< 跨风格 ="字体系列："字体-大小： 12pt ；"> 拍摄一张数码照片和然后发现出你错过了这么大闹的细节令人印象深刻直观地吗？应用 Photoshop 锐化滤波器可以使这张照片出现尖锐，但这种过滤器是有损 — — 他们实际上减少的量在图像中的细节。直到最近，没有什么东西你能到枪击后改善的形象。以色列魏茨曼研究所的研究员科学现在已经开发出一种超分辨率工艺拉扯看不见从隐蔽处和角落一张单一的数码照片的细节。他们过程可以捕获原始图像 — — 在不可见的真实细节接下来的"杀手级应用"吗？