PIC12F675 定时器程序 加protues 仿真

Subtitles to filmes-Subtitles to filmes

在MFC下更换对话框皮肤，方法简单，易于实现-Replacement in the MFC dialog box under the skin, a simple, easy to realize

C语言标准库实现了一些常用的子程序功能，方便编程人员直接使用。比如数学库，里面就有常用的数学计算函数，方便我们直接调用。此库是前不久去官网下载的，很全，我们可以查看库函数里的源码，体会别人的编程思想。这里拿来和大家分享一下。

《圣剑英雄传ＩＩ－双刃剑》（源程序）编译时需要DirectX7以上版本支持。-"SHENG- JIAN Heroes II-double-edged sword" (source) compiler need support DirectX7 versions.

学生通讯录管理系统 用于管理学生的通讯信息-Student Address Book Management System

九寨运业车辆保险管理系统。 对车辆信息以及保险进行管理查询和报表的操作。-Jiuzhai transport industry, vehicle insurance management system. For vehicle information and insurance queries and reports to manage operations.

Spartan 3E 开发板上LED灯循环闪烁-Spartan 3E development board flashing LED lights cycle

Computes the hafnian of a nonnegative integer matrix. Notes: Copy hafnian.c to main.c, in the same directory as Rothberg s code (see above). You can download the .tar directory with the code weighted-match.tar here. Then "make" the codes (this codes are in C, not C++). The program is then run by the command "wmatch". -Computes the hafnian of a nonnegative inte ger matrix. Notes : Copy hafnian.c to main.c, in the same directory as Rothberg"s code (see abo ve). You can download the. tar directory with th e code weighted-match.tar here. Then "make" th e codes (this codes are in C, not C). The program is then run by the command "wm atch. "

tidsp2407汇编程序例程，完整的源代码。-tidsp2407 assembler routines, complete source code.

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,