lagr

基于matlab的微波工程实验仿真：matlab波导中横截面电磁场的矢量力线图表示包括主要的矩形波导TE与TM模，与圆柱波导的TE与TM模(Based on the experimental simulation matlab Microwave Engineering: Vector power line graph matlab waveguide cross-sectional representation of the electromagnetic field, including the main rectangular waveguide TE and TM modes, and a cylindrical waveguide TE and TM modes)

潮流计算的好程序，c++，潮流计算的好程序，c++(Good program flow calculation, c++)

说明：  禁忌（Tabu Search）算法是一种亚启发式(meta-heuristic)随机搜索算法，它从一个初始可行解出发，选择一系列的特定搜索方向（移动）作为试探，选择实现让特定的目标函数值变化最多的移动。为了避免陷入局部最优解，TS搜索中采用了一种灵活的“记忆”技术，对已经进行的优化过程进行记录和选择，指导下一步的搜索方向，这就是Tabu表的建立。(Tabu Search algorithm is a meta-heuristic random search algorithm. It starts from an initial feasible solution, chooses a series of specific search directions (movement) as a trial, and chooses to achieve the movement that makes the most changes in the value of a specific objective function. To avoid falling into local optimum, TS search uses a flexible "memory" technology to record and select the optimization process that has been carried out, and to guide the next search direction, which is the establishment of Tabu table.)

matlab英文教材：卡尔曼滤波的方法与实践(matlab English materials: Kalman filtering method and practice)

本程序利用 MIMO模型，对信道通信进行了仿真，希望对大家有用(This procedure models the use of MIMO, the communications channel simulation, in the hope that useful)

Journal Related to PV modelling using MatLAB

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.)

谐波小波程序变参数的积分程序多点人工生成地震波程序低通滤波程序经验模式分解降噪程序(Harmonic Wavelet programmed parameters points integration process of artificial seismic waves to generate low-pass filtering process procedures empirical mode decomposition noise reduction procedure)

这是MATLAB的界面—GUI的几个例子，直接打开就能用。(This is the MATLAB interface- GUI examples, can be used to open directly.)

无线传感器网络中节点定位算法MDS-MAP算法的改进及matlab实现(Wireless sensor network node localization algorithm MDS-MAP algorithm and matlab to achieve)