nlineshoot

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.)

knapsack genet algorithm

该程序可以绘出杨大成《移动传播环境》的7.2.1.1小节的等距离法实现经典功率谱密度，自相关函数，以及自相关函数均方差。文件中含m文件以及绘出的jpg文件。(The program can draw POSTS " mobile communication environment" section of the equidistance method 7.2.1.1 achieve the classic power spectral density, autocorrelation function, and the autocorrelation function of MSE. M file containing the jpg file and draw the file.)

Con este archivo tu puedes decodificar un sonido morse y lo conviertes a palabras

用平面波展开法计算二维光子晶体带隙的程序(With the plane wave expansion method for calculation of 2-d photonic crystal program)

灰色预测模型在Matlab的语言编程(基于GM（1，1）模型)(Gray model in Matlab programming language (based on GM (1,1) model))

高斯曲线拟合，利用非线性曲线拟合函数inline实现对一组数的高斯拟合(Gaussian curve fitting, nonlinear curve fitting function inline Gaussian fitting of a set of numbers)

Detection of Primary users

PSO electric load dispatch

本程序为《自适应信号处理》（王永德等译，机械工业出版社）书中107图SER算法和LMS算法比较的源程序，仿真效果和书上一致(This program is " adaptive signal processing" (s Acoustic other translation, Mechanical Industry Press) book 107 SER algorithm and LMS algorithm for graph comparison of the source, the simulation results and the same book)