RDM协议标准的图文说明,希望对有些朋友有所帮助

源程序是银行综合业务平台中基本业务里的其中几个子业务的c语言的源码--C language codes, which includes some sub services of basic services in bank synthesis service platform

C++基本小程序，供C++初学者用-basic procedures for beginners use C

这个文件主要介绍了LMS和RLS的一些基本的滤波功能-This paper mainly introduces the LMS and RLS some basic filtering

labview实现的中国象棋的程序，可以方便使用而不用使用别的软件。-labview chess China to achieve the program, it will be convenient to use without having to use other software.

毕业论文，一个考试系统-Thesis, an examination system

华为内部的程序培训资料，讲解了程序设计以及规范-Huawei s internal procedures for training materials, to explain the program design and specification

LABVIEW程序语言中属性节点相关内容的使用实例-LABVIEW programming language attribute nodes using the example of relevant content

基于VB.NET开发的与RS232串口通信的编程实例，适用于开发者参考-on VB.NET development and RS232 serial communication programming examples, application developers to reference

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,

一个表,完全用FLASH制作的,效果非常的好,欢迎大家分享-a table entirely with Flash production, the effect was very good, we are happy to share