matlab-zhendongtai

1133671672316介绍matlab的应用(1133671672316 introduced the application of matlab)

这个是一个关于高斯键控的matlab程序源代码(This ducument is a matlab program about GMSK. Wish this will help you better understand DMSK,thanks!)

说明：  关于lmf算法的论文，用高速DSP在频域上实现LFM信号的实时脉冲压缩(Lmf algorithm on paper, using high-speed DSP in the frequency domain to achieve real-time signal LFM pulse compression)

数值分析Advanced Mathematics And Mechanics Applications Using Matlab, 3Rd Ed - 2003 - (By Laxxuss).pdf(数值分析Advanced Mathematics And Mechanics Applications Using Matlab, 3Rd Ed- 2003- (By Laxxuss).pdf)

说明：  经典的有限差分法，包含迎风格式，中心差分，LaxWendroff(Transport Equation with Finite Differences)

DFP法，变尺度法，优化算法的一种，具有二次收敛性，若目标函数为二次正定函数，经有限步可达到极小点(DFP method, variable metric method, an algorithm with quadratic convergence, if the objective function is quadratic positive definite function can be achieved by the finite step minima)

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.)

很难下的几篇关于卷积小波包变化的文献，希望能帮到大家！！(It is very difficult on the convolution of several changes in the literature on wavelet packet and hope to help you! !)

非常有用的matlab实用例程,mei you mi ma(very useful practical Matlab routines, mei you mi ma)

This matlab program is a software implementation of onset and offset detection