C源码C程序常用公共符号定义头文件

电脑常用知识，dos下的一些应用-Commonly used computer knowledge, dos applications under

Sql statement it is very cute -SQL statement it is very cute

USACO Section 1-4的后两个程序以及Section 1-5的全部程序代码-USACO Section 1-4 of the latter two procedures, as well as Section 1-5 of the full program code

MSP430仿真器上EEPROM数据的烧写程序，单片机MSP430F1612。-MSP430 emulator programmer on EEPROM data procedures, microcontroller MSP430F1612.

晶闸管资料,应用大电流驱动电路.资料比较详细-Thyristor information, application of high-current drive circuit. More detailed information

ADDA器件一览表，基本上所有的 AD DA参数都用-AD DA device list, basically all of the AD DA parameters are used

totular about fixing some points in image

输入集合个数及相应集合，指定子集和，然后回溯求解所有可能组合。-Enter the collection number and the corresponding collection and specify a subset, and then go back to solve all the possible combinations.

防Listview控件源码，传哦-Anti-Listview control source, Chuan-Oh

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,