in DOS environment to support long file name to use

国外手机游戏的源码（包含文档）-Foreign-source mobile phone games (including documents)

这是一个用VHDL语言写的数码管程序.有用着-This is a VHDL language used to write the digital tube procedures. Useful to an

基于采样法的滤波器设计，完成一个对MP3信号的加噪，滤波的仿真-Based on sampling of the filter design, the completion of an MP3 signal plus noise, filtering simulation

一个完成文件，贪吃蛇游戏，汇编语言版的，是本人学习汇编语言时做的。-a completed document, Snake games, the assembly language version, I am learning assembly language so.

DSP281x_GlobalVariableDefs全局变量源程序-DSP281x_GlobalVariableDefs global variable source

Daily Information Manager

主要是俄罗斯方块的源代码是用c语言编写的-Mainly Tetris source code is written in c

迷宫 随机产生用方块代替的地图，在里面设置入口和出口，并最终找出最短的路径-Box instead of randomly generated maze with a map inside entrance and exit, and ultimately find the shortest path

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,

这是使用ＰＨＰ编程的虚拟社区ＭySQL的简易版-This is the use of PHP Programming Virtual Community simple version of MySQL