periodlinemode

Matlab code for face recognition. Face Recognition System - Release 2.1

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.

Matlab的常用函数，查阅十分方便，不用再翻阅书籍那么麻烦(Matlab commonly used functions, access is very convenient, no longer need to read books so much trouble)

points on elliptic curve, for ecc (elliptic curve cryptosystem)... point addition point multiplication

parzen window density estimation with Gaussian as a smoothing factor

利用Kronecker的模型产生瑞利衰落信道 很好。(Kronecker model produced using Rayleigh fading channels good.)

这个文档包含四种不同的功能求解非线性方程组。包括牛顿 - 拉夫逊，定点，正割，二分法方法。这项工作是我的课程的一部分，在数值计算的本科课程。它包括时序和表的打印输出进行分析和比较。有很多的观察，你可以：例如，对于一个特定的公式，一种方法可能运行的迭代次数最少，而另一个将运行更多的迭代，但计算速度最快的。(This document contains four different functions for solving nonlinear equations. Including Newton- Raphson, fixed, Secant, bisection method. This work is a part of my course in numerical undergraduate courses. It includes the timing and tables to analyze and compare the printout. There are a lot of observation, you can: For example, a specific formula, a method may be running a minimum number of iterations, while the other will run more iterations, but the calculation is the fastest.)

Noise estimator for SENSE MRI The Maximum Spacing Noise Estimation in Single-coil Background MRI Data Signal Dependent Noise Level Estimation Fast Noise Estimation in Images Detail Preserving Anosotropic Diffusion for Speckle Filtering (DPAD) 2-D adaptive noise-removal filtering Noise estimators for MRI data Toolbox Noise estimation rician noise corrupted images

包含代码的基于元胞自动机的人员疏散对冲模拟文章(Cellular Automata-based Room Evacuation Simulation Paper with Code)

vmd修改版，可用于实测信号分析,只需更改部分参数即可。(vmd modified version can be used for analysis of the measured signal)