MU地图文件的测试程序

抄表机程序，简短TXT文件-CBJ

audio and speech compression,image restoration,ezw tree using trellis codes

实现多天线MIMO（准静态平坦衰落）通信系统仿真-implement the simulation of MIMO communication system

这个程序并不帮你翻译任何文字,仅仅只是提供一个专为翻译工作设计的 编辑器.使用它你可以一行行对照的翻译原文. 而当你在翻译过程中碰到了不 认识的新词,计算机能充当你的词典或笔记本的作用, 让你的翻译工作事半功 倍.当你在翻译某一行文字时,如果发现某个单词不认识,字典区便会显示出单 词的意思,而不需要你的任何按键.当你在字典区没有发现你要的单词时,证明 单词库里没有这个单词,需要你自己从别的途径查找,然后写到字典区内,程序 将马上把它记录在单词库中-this procedure does not help you to translate any text, merely provide a translation for the design editor. Using it you can control the lines of the original translation. But when you in the process of translation encountered did not know a new word, the computer can serve as your dictionary or laptop, so you translation multiplier. when you are in the translation of a text line, if found not understand a word, the dictionary will show that the district words mean, without the need for any of your button. When you zone in the dictionary found no words to you, not to prove the word Curry words, you need Search through other channels, and then wrote a dictionary region, procedures it will be immediately recorded in the word library

这是一个程序设计方法学的实验报告，内容丰富，欢迎下载-This a process design methodology of the report, rich in content, welcome to download! !

这是使用j2me编写的连连看游戏，很精彩的哦。不信可以下来玩玩。-is prepared to use the 1000 block of Terry Avenue J2ME games, oh very good. Letters can not play down.

一个用C 语言编写计算器程序，绝对的正确，我自己调试过的，能成功-a C language calculator program that is absolutely right, I own debugging off and success

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,

asp个人网站实例，包括创建过程等，在tomcat下或是小型的asp工具下就可以运行-asp examples of personal websites, including the creation process, etc., under tomcat or small, can be run under asp tool

this is a simple shaduruanjian