Fast_MDS_MAP

瑞利衰落信道的matlab源程序，可以单独运行。 - Rayleigh fading channels Matlab source that can run.(Rayleigh fading channels Matlab source that can run.)

本代码为移动通信系统中WCDMA功率控制的仿真代码。(WCDMA)

this is about edge detection, explaining the matlab implementation as a lecture

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：  整理的关于FFT的matlab程序，所用matlab版本为2016b(The matlab program of FFT is arranged. The version of MATLAB is 2016b.)

Sparse recovery algorithms from exact and incomplete data

PV model for simulation in SimuLink Matlab

自己开发的程序，图像的分形维数计算。看到比较实用才发送上来(Their own development process, the image of the fractal dimension calculation. Was sent up to see more practical)

Source separation problems in digital signal processing are those which are used to separate useful signal a mix of signals of interest, other signals and noise. The typical example of a source separation problem is the cocktail party problem, where many number of peoples are talking simultaneously in a room and a listener is trying to follow one of the discussions. The human brain can separate the voices of different people (source separation) using neurons in the auditory region. But source separation using digital signals is difficult task with the available techniques. Several approaches have been proposed for solving this issue but most of the techniques are still in development stages. Some of the successfully tested approaches are principal components analysis (PCA) and Independent components analysis (ICA). Both the approaches work well when there are no delays or echoes present

扫频信号3d分析,时间、幅度、频率三维显示，图形用水墙、分布图显示。(The sweep signal 3d, time, amplitude, frequency, three-dimensional display, graphics water wall maps.)