medianPfftlowpassPffthighpass

Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification. This document explains the use of libsvm.

基于matlab的遗传算法的M文件，是我跟老师做SRP项目的时候找到的，很有用的哦(Matlab genetic algorithm based on M-file, do I tell the teacher when the SRP project to find, very useful oh)

Intelligent System for Worm Detection Ibrahim A. Farag Faculty of Computers and Information Cairo University Egypt Mohammed A. Shouman Faculty of Computers and Information, Zagazig University Egypt Tarek S. Sobh Information Systems Department Egyptian Armed Forces Egypt

利用循环前缀的最大似然同步算法，程序正确并实现，欢迎大家前来下载。(The use of cyclic prefix of the maximum likelihood synchronization algorithm, the program correctly and to achieve, we are happy to come to download.)

matlab时频分析工具箱(附安装方法和函数说明) 这是一个工具箱源码程序，需要对大家有用(time-frequency analysis matlab toolbox (with installation method and function description) This is a toolbox source program, you need to be useful to everyone)

ms-garch model forcasting

本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)

IMAGE PROCESING FAST FOURIER TRANSFORM

Different source coding techniques

matlab code for mc cdma