正弦波数据产生程序,升级版本, 更方便,不必必源程序,直接输入所要产生的数据个数!...

shell教学视频，非常适合初学者。希望通过审核！-shell teaching video, very suitable for beginners. Hope that through review!

摄像机标定程序：用matlab语言编写，zhang是主程序，请参考test以了解调用的方法-camera calibration procedures : using Matlab language, the main program is zhang, Please refer to test to find out the calling method

语法分析程序，编译原理的重要程序之一。用处很大。-syntax analysis procedures, compiler theory one of the important procedures. Very useful.

PDIUSBD12 -pdf-datasheet.rar 使用LPC2XXX系列开发板-PDIUSBD12- pdf- datasheet.rar use LPC2XXX Series development board

qt-embedded开发的实例教程，通过10个实例让你很快入门。-qt-embedded examples of the development of curricula, the adoption of 10 examples of your entry soon.

自己动手在CE下实现打印功能，可以作为一个参考下载-their own hands under the CE Print function can be used as a reference to see if the download

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,

模糊查询，你只输入要查询内容的一个字或输入全部内容-Enter a word or only the importation of all contents

实现opc接口，连接opc server服务器。 将数据加入到数据库里面-Interface to achieve opc, opc server to connect server. Data added to the database

SAPIDES4.71安装录像,照着操作一定能成功.-SAPIDES4.71 installation video, follow the operation will succeed.