自己遍的牛顿迭代法求解二元二次方程的程序 迭代步数可以自己设定...

lpc2xxx 开发板中 USB驱动程序软件包的配置.PDF-lpc2xxx Development Board of USB driver software configuration. PDF

this a sample C++ codes for beginners.It helps to draw a graph using some inbuilt functions.-this is a sample C++ codes for beginners.It helps to draw a graph using some inbuilt functions.

本程序是读取钱龙股票数据的，是开发股票软件不可缺少的核心。-read Qian Longsheng stock data, the development of software stocks indispensable core.

这是一非常棒的网络教学软件，解压安装后，每次启动可费使用12分钟。-This is a wonderful network of educational software, extracting After installation, each fee can start using 12 minutes.

这个是sap讲义，帮助大家认识sap有哪些方面业务知识。-This is a sap handouts to help everyone understand the sap has what knowledge.

一个转来的小车运动源程序 -Transferred to a source of car movement

这个是关于树的代码，可以帮助那些初学者学习参考-This is about the tree code, you can help those who are beginners to learn the reference

interrupt controller 设计-interrupt controller

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,