matlab__leach

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.)

How to compute synthetic seismograms with the program system G E M I N I

Two-Link Line Tracking Manipulator Define your inputs and let this code track your line

一个实际的工程实验计算的matlab实例。力学和空气动力学(an actual calculation of the experimental project Matlab examples. Mechanics and aerodynamics)

说明：  调用normfit函数求正态总体参数的最大似然估计和置信区间(Normfit function calls seeking normal population parameters of maximum likelihood estimates and confidence intervals)

摄影测量小程序，实现基于核线方程的相对定向及冲采样。(Photogrammetry small program to achieve based on the relative orientation of nuclear line equation and the red sample.)

采用离散再合成的随机流动生成(DSRFG)方法合成了满足目标湍流度、积分尺度、脉动风速谱及空间相关性等参数的各向异性湍流;讨论了DSRFG方法在生成湍流风场上关键参数的合理取值;(Anisotropic turbulences satisfying the parameters of target turbulence, integral scale, pulsating wind speed spectrum and spatial correlation are synthesized by discrete resynthesis random flow generation (DSRFG) method. The key parameters of DSRFG method in generating turbulent wind field are discussed. Reasonable value;)

说明：  基于径向基神经网络的算法逼近低通滤波器，用Matlab编程实现(Based on RBF Neural Network Approximation algorithm low-pass filter, using Matlab programming)

Simpson Rule Algo7-2.c C program for implementing Algorithm 7.2 Algorithm translated to C by: Dr. Norman Fahrer IBM and Macintosh verification by: Daniel Mathews NUMERICAL METHODS: C Programs, (c) John H. Mathews 1995 To accompany the text: NUMERICAL METHODS for Mathematics, Science and Engineering, 2nd Ed, 1992 Prentice Hall, Englewood Cliffs, New Jersey, 07632, U.S.A. Prentice Hall, Inc. USA, Canada, Mexico ISBN 0-13-624990-6 Prentice Hall, International Editions: ISBN 0-13-625047-5 This free software is compliments of the author. E-mail address: in "mathews@fullerton.edu" Algorithm 7.2 (Composite Simpson Rule). Section 7.2, Composite Trapezoidal and Simpson s Rule, Page 365

Singular value decomposition takes a rectangular matrix of gene expression data (defined as A, where A is a n x p matrix) in which the n rows represents the genes, and the p columns represents the experimental conditions.