Haze-remove

说明：  wav声音文件的通过多脉冲激励编码器，长时预测合成新的声音文件(wav sound files through the multi encoder pulse excitation, long forecast synthesis of new voice)

Wavelet denoising For using this code need to use signal toolbox and general toolbox in your matlab In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size 512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of having SNR=20dB by select the suitable value of variance for Gaussian noise formula. Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It means that, we should find the highest SNR value by finding the suitable value for threshold. Then we asked to do the same process but this time using soft thresholding. Finally for the last part of question one, we should compare the results of the obtained SNR with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft thresholding.

说明：  这里有两个matlab的应用实例，一个是函数的积分，一个是幅频图像的绘制，希望对去学matlab的人能有所帮助(there are two examples for matlab,one is designed for function integral and another is desined to draw amplitude frequency)

本文件包含一个word文档，详细讲解互信息的计算，以及一个txt文档，包含MI的matlab源代码。(This document contains a word document, explain in detail the calculation of mutual information, as well as a txt file, including MI, Matlab source code.)

Singularity detection for 1-D signal using wavelet maxima.

说明：  material property for RCWA calculation

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

power_transfohyst.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_transfohyst.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

通过地震波输入数据运用精确法生成反应谱数据，并绘出反应谱图像(response spectrum)

This is a matlab code for drawing EXIT chart. This is a chart that is used for performance evaluation in different coding and decoding techniques. This is an mfile.