excell的实用，数据导入 生成 方便实用 好东西

工业铲车的PLC操作控制,《机电传动控制课程设计》报告-Of industrial forklift operation control PLC

这是数字图像处理的教程，比较专用与系统，pdf格式-This is the Digital Image Processing Guide, compared with dedicated systems, pdf format

模拟vt102虚拟机，可连接mud.bbs等-Analog vt102 virtual machine, can be connected to mud

c# 编写的俄罗斯方块游戏, 有音效和音乐(不过在有的机器上播放 mid 会出错...), 同时实现了 GDI+ 和 DDraw 两套呈现引擎. debug/release 目录中包含了运行时所需的资源.-c# prepared by the Russian box game. a sound and music (though in some machines will be broadcast mid mistake ...), while achieving the GDI and DDraw has two engines. debug/release contains a directory Runtime the necessary resources.

c语言做的一个小程序，猜拳游戏，请大家交流学习-c language to a small program, finger-guessing game, please share their knowledge and

卡通小闹钟,它能给你一个不一样的感受-cartoon small alarm clock, it will give you a different feeling!

计算机类基础课程教材，计算机组成原理（第二版）-Computer Class-based curriculum materials, computer Composition Principle

马的遍历算法 实现马的遍历问题 使用C语言编写 如果不好请大家原谅-Ma Algorithm Ergodic problems using C language, if you will forgive bad

利用灰色系统进行预测的几篇好论文: BP神经网络_灰色系统联合模型预测软基沉降量 非线性时间序列神经网络预测方法的研究及应用 股票投资价值灰色马尔可夫预测 股票投资价值灰色系统模型及应用 灰色关联神经网络模型在股指预测中的应用 灰色理论与模型及在车辆拥有量预测中的应用 灰色神经网络交通事故预测比较 灰色神经网络预测模型的应用 灰色-神经网络综合预测模型-Gray prediction system using a few good papers: BP neural network system _ a joint model gray soft ground settlement prediction of nonlinear time series prediction method of neural network research and application of the gray value of equity investments Markov prediction value of the equity investments of the gray system Application of gray relational model and neural network model in forecasting stock gray theory and model and prediction of vehicle ownership in the application of gray neural network traffic prediction compare gray neural network prediction model of the application of gray- the integrated neural network prediction model

提出了一种基于支持向量机的多类模拟调制方式识别算法。该算法通过分析模拟调制信号的特点，提取有效的特征向量以区分不同的调制方式，并基于支持向量机和判决树分类思想，将特征向量映射到高维空间中加以分类。-A support vector machine based on the many types of analog modulation recognition algorithm. The algorithm by analyzing the characteristics of analog modulation signal to extract effective feature vector in order to distinguish between different modulation methods, and based on support vector machines and decision tree classification of ideas, will feature vector is mapped to the high-dimensional space to be classified.