Algorithm for lesson plans, content of ppt file format, document the activities.

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,

一些常用的小函数-some frequently used small function

此代码研究的是力学上的断裂问题，从理论上研究了断裂过程中介质的受力形态。-This code is the study of fracture mechanics problems, from a theoretical study of the fracture process in the form of the medium force.

tubro c 下编辑的贪吃蛇游戏，需要在tc环境下运行-tubro c editorial under the huge memory games, the need to run under tc

MATLAB的FPGA数字信号处理程序 类似于DSP的C语言 简称SG，大家指教！！ -MATLAB FPGA digital signal processing DSP similar to the C language acronym SG, we know! !

运算符重载数组的整体输入与输出-Operator whole array of input and output

很多人现在用的都是xp系统，通过这个程序，我们可以将非正版xp改编成或者伪装成正版xp-Many people are now using xp system, through this process, we can xp into a non-genuine or disguised as genuine xp

n后问题，也适合八皇后问题，环境Vc6.0-n After the issue, is also suitable for the eight queens problem

用JAVA程序编的九宫棋程序，该程序是applet,请编译后执行-procedures with Java JiuGongTu series of the game program, which is applet, compiled implementation

实现费诺编码费诺编码输入为+7个信源符号,其概率分布为：(其中信源符号用A+B、、G表示)A_0.2++B_0.19++C_0.18++D_0.17++E_0.15++F_0.10++G_0.01然后输入程序中得到结果（详细文档，值得一下）-Fenaux Fenaux coding to achieve coding input+7 source symbols, the probability distribution as follows: (where source symbols with the A+ B,, G indicated) A_0.2++ B_0.19++ C_0.18++ D_0.17++ E_0.15++ F_0.10++ G_0.01 and then enter the program to get results (detailed documentation, it is worth it)