小波包

用偏微分方程求解流变力学中的本构方程，对纺丝动力学的研究很有用(constitutive equation Partial Differential Equations)

OFDM multipath fading channel model jakes

这是国外研究小波图像处理的学者做出的工具箱，十分好用。(This is the overseas research scholars of wavelet image processing toolbox to make very easy to use.)

Economic load dispatch in pattern recognition with losses

快速主分量分析方法，是经典的盲信号处理方法。可参考用(Fast principal component analysis method, is a classic blind signal processing methods. May reference)

10－channel polyphase filter的simulink程序(10-channel polyphase filter the simulink program)

雷达采用匹配滤波完成脉冲压缩，采集频率fs=420MHz,仿真雷达回波，并绘出加Hamming窗前后的脉压波形。目标如图所示由(-5，-2)，(0，5)和(6,-7)三个散射点组成,散射强度分别为（1，2，5）,雷达位于（-5000,0）处(The completion of the radar pulse compression using matched filtering, collecting the frequency fs = 420MHz, simulation of the radar echo, and draw the Hamming window plus post-pulse pressure waveform. Targets as shown by (-5,-2), (0,5) and (6,-7) three scattering dots, scattering intensity, respectively (1,2,5), radar at (-5,000, 0), Office of)

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.)

gauss-seidel算法实现对方程组的求解(gauss-seidel algorithm for the equations)

基于matlab图像处理的汽车车牌照提取的识别系统(Based on matlab image processing to extract a car license plate recognition system)