fdtd1D

mimi_ofdm multipath channel emulation, including waveform shape,

在机动目标跟踪中，机动目标模型是机动目标跟踪的基本要素之一，一般希望机动目标模型能准确表征目标机动时的各种运动状态。比较常用的模型有匀速运动(CV)模型、匀加速运动(CA) 模型、时间相关模型（Singer）和机动目标“当前”统计模型。上述模型均采用机动频率表征目标的机动情况。在应用当中，通常采用固定的机动频率，这就表示机动目标的机动时间是一定的，而实际上机动目标的机动时间是不断变化的，也就是说机动频率是不断变化的，采用固定机动频率必然会带来误差。采样周期在0.5—2S时，机动频率越小跟踪精度越高[1]，但机动频率仍然是固定值。本文提出的基于神经网络的机动频率自适应调整方法可以使机动频率随机动而变化，从而提高状态估计的准确性，提高跟踪精度。本文将小波神经网络用于机动目标跟踪中机动频率的自适应调整，该算法对机动目标“当前”统计模型中的机动频率进行实时修改, 从而自适应的改变机动频率,使跟踪算法与目标的真实状态更接近。该算法采用小波神经网络的离线训练，实时性好。(The maneuver of the maneuvering target is uncertain. The maneuvering frequency is constantly changeable, but traditionally it is beforehand determined as a constant based on the target state estimation in the state model of the maneuvering target. The maneuver of the maneuvering target makes the kinematics equation of the target model mismatch with the practical motion model and the tracking error will be increased. Based on the advantages of the self-learning, the rapid convergence rate and the nonlinear approximation ability of the wavelet neural network, it was put forward to be used in the field of target tracking in the paper. The new residual is used as the input of the wavelet neural network, the output of the network is used to adjust adaptively the maneuvering frequency of the CS model. The algorithm is more close to the real state of the target. The simulation results showed that tracking error can be reduced and the tracking accuracy can be improved.)

基于matlab的灰色预测的代码大全，能够实现不同的灰度预测结果，有利于初学者对灰度预测的把握，有利于学习练习和应用(Different gray forecast results can be achieved based on gray prediction matlab code Daquan, help beginners grasp grayscale forecast is conducive to learning exercises and applications)

Simulation model for solving the load flow problem

isotopic linear non-dispersive material grid size and time size is designated directly electic field nomalized PML for all three directions fdtd 3d with drude model TF/SF wave analysis incorperating electric conductivity and magnetic conductivity there is Gaussian and sine wave two choices incorporating the Drude mode

用matlab求解有限元计算，对使用有限元方法计算的内部过程有更深的了解(Using matlab to solve finite element, finite element method for the use of a deeper understanding of internal process)

bivariate EMD( illustration, mean definitions, principle , distretch)

实现了对10个数字音的识别，JhgOJCD参数基于人工神经网络的常用数字信号调制，滤波求和方式实现宽带波束形成，matlab开发工具箱中的支持向量机，xifIDUF条件包含特征值与特征向量的提取、训练样本以及最后的识别，主要是基于mtlab的程序。( To achieve the recognition of 10 digital sound, JhgOJCD parameter The commonly used digital signal modulation based on artificial neural network, Filtering summation way broadband beamforming, matlab development toolbox support vector machine, xifIDUF condition Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Mainly based on the mtlab procedures.)

说明：  三相桥式整流电路，完美运行，导通角a=30度(Three phase bridge rectifier circuit, perfect operation, conduction angle a = 30 degrees)

这是一个利用维纳滤波方法进行消噪的MATLAB 程序，器效果比谱减法好在没有尖锐的噪声(it is a delete noise program.it is based on matlab)