MIMO-OFDM-matlab-codes

与传统的小波分解相比，提升小波可以实现整数小波变换，其方法与一般去噪法相同，都是对小波分解的高频系数进行阈值量化来达到去噪的目的。(Compared with the traditional wavelet, lifting wavelet can achieve integer wavelet transform, its the same way as regular de-noising method, are the high-frequency coefficients of wavelet decomposition threshold quantization to achieve the purpose of de-noising.)

《移动衰落信道》Mobiel_Fading_Channels一书后面的相关仿真程序。(" Mobile Fading Channels" Mobiel_Fading_Channels the back of a book-related simulation program.)

4psk&8psk的matlab实现，采用蒙特卡罗仿真法，计算误码率误比特率，绘制相应曲线(the realization of 4psk&8psk by Matlab tool,it use Monte Carlo way to calculate the BER and draw the graph.)

这是一个工具箱，希望有用处Simular_Aneal_tools(This is a toolbox useful Simular_Aneal_tools)

this mfile determine the observability of a system in control

OFDM wonderful simulation

基于matlab环境下，利用矩阵位移法计算连续梁弯矩图程序设计(Based on the matlab environment, calculated using the matrix displacement method continuous beam bending moment diagram programming)

均匀布拉格光栅的仿真程序，使用龙格库它法编写的源代码。(Uniform Bragg grating of the simulation program, the use of Runge law prepared by the Treasury of its source code.)

some FEM applications with MATLAB

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.