SimulatorMatlab

Orthogonal Greedy Algorithm Sparse Signal Reconstruction for Compressive Sensing

介绍关于MATLAB的一些函数基本命令以及常用的处理图像方法(Introduced the MATLAB function basic commands as well as the commonly used image processing method)

duffing振子非线性系统的分叉图和映射图程序，简单易学(Bifurcation diagram of nonlinear system of duffing oscillator is simple and easy to learn)

包含了巴特沃斯滤波器的处理，属于数字信号处理的一部分(Includes the processing of the Butterworth filter, part of the digital signal processing)

principal_chaleur a routine for implementing the EF P1 Lagrange for the heat equation in the following stationary condition with Nonhomogeneous Dirichlet

wave propagation of ftdt up laded by el aswany

循环平稳工具箱，这个工具箱是在matlab环境下实现低阶和高阶数字分析(Cyclostationary Toolbox, the Toolbox in Matlab environment, low-level and high-end digital)

The early detection of arrhythmia is very important for the cardiac patients. This is done by analyzing the electrocardiogram (ECG) signals and extracting some features from them. These features can be used in the classification of different types of arrhythmias. In this paper, we present three different algorithms of features extraction: Fourier transform (FFT), Autoregressive modeling (AR), and Principal Component Analysis (PCA). The used classifier will be Artificial Neural Networks (ANN). We observed that the system that depends on the PCA features give the highest accuracy. The proposed techniques deal with the whole 3 second intervals of the training and testing data. We reached the accuracy of 92.7083 compared to 84.4 for the reference that work on a similar data.

voice recognition in noisy environment Human life could be much more comfortable, if global machinery works on voice commands. There are lot of products available in the market those provide us automated voice controlled working experience. Voice-identification is a kind of technology in which, machine responds to human voice. The goal of this project is to design and implement voice controlled embedded system in noisy environment. The project consists software and hardware design. The software part is to eliminate noise the original signal and develop the speech recognition algorithm (DTW). The hardware is used for speech recognition.

说明：  改进的过零检测法，克服传统的过零检测法的缺点，提高精度。(matlab)