LTC2449 AD转换 LTC2449 AD转换

未经证实的delphi帮助文档，有一定的利用参考价值，希望对各位的delphi应用有所帮助。-unconfirmed delphi help files, the use of a certain value, and I hope to you delphi application help.

用C++实现LL(1)文法分析 用C++实现LL(1)文法分析-C achieve LL (1) grammar analysis C achieve LL (1) grammar analysis

贪吃蛇 Win32 api 写的，只是抛砖引玉。-Snake Win32 api to write, only attract valuable comments.

在做网页或网络开发时经常要用到CSS，但其中的格式非常的多，开发起来比较烦人的。用这个工具就可以很好解脱自己-doing web development at the network or regular use of CSS, but the format very much, and the development of relatively annoying. Using this tool can make good on their release

电子商务 物流 ASP+SQL2-ASP e-commerce logistics SQL2

dos下虚拟光驱 -dos virtual drive

网络技术你也许用得到他是非常有用,你快下再吧-network technology may be useful to you he is very useful, you longer it fast

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,

读出autocad图形数据库中的实体并将实体类名写入excel-read graphical database entities of the entity type who would write excel

用CC++编写的源代码公开的简单的32位精简指令虚拟机-CC prepared with the source code open a simple 32 concise instructions Virtual Machine