道路优化

statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energy filters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in a posterior step to perform image segmentation and object recognition.(statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energyfilters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in aposterior step to perform image segmentation and object recognition.)

WSN的dv_hop定位算法 WSN的dv_hop定位算法 WSN的dv_hop定位算法(wsn dvhop )

VC MATLAB 混编示例 ppWizard has created this matlab调用 application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your matlab调用 application.(ppWizard has created this matlab调用 application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your matlab调用 application.)

雷克子波的matlab程序 地震勘探中用(The Ricker wave matlab program seismic exploration using)

毕业设计的代码，如果你也为此恼火的话，可以看一下。(Graduate design code, if you do this annoyed, you can look at.)

说明：  遥感图像变化检测：1）变化向量分析方法；2）主成分分析方法。(change detection for remote sensing image.)

Face Recognition using wavelet transform in matlab

利用MATLAB语言实现的关于励磁涌流二次谐波和基波的比例程序。(The use of the MATLAB language of the ratio of the magnetizing inrush current of secondary harmonic and fundamental program.)

说明：  LS算法在宽带自适应波束形成中的MATLAB实现(LS algorithm in broadband adaptive beamforming in MATLAB to achieve)

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.)