资源列表
hgr1_skin
- 手势识别数据库,可用于手势识别或手势分割-Database for hand gesture recognitionOur database for hand gesture recognition (HGR) contains the gestures from Polish Sign Language ( P in the gesture s ID) and American Sign Language ( A ). In addition, it some special signs (
hy1
- 用vb2008结合access做的简单会员管理系统,解决了程序与数据库的结合问题。-Combine access with vb2008 do simple member management system to solve the problem of the program in conjunction with the database.
A-Possibilistic-Fuzzy-c-Means
- 数据挖掘的英文文章，对模糊C聚类方法进行了介绍，可以有效的理解外国数据挖掘的趋势。-The English articles of data mining, abroad and the development trend of data mining
pwm-inverter
- pwm inverter( pure-sine wave inverter)
Introduction-Compressed-Sensing
- 压缩感知（CS）理论是在已知信号具有稀疏性或可压缩性的条件下，对信号数据进行采集、 编解码的新理论。主要阐述了CS理论框架以及信号稀疏表示、CS编解码模型，并举例说明基于压缩感知理论的编解码理论在一维信号、二维图像处理上的应用。 -Compressed Sensing(CS) theory is a novel data collection and coding theory under the condition that signal is sparse or compress
ad
- 功能：STC12C2052AD AD转换C程序 +PWM输出功能 成功使用。 应用：AD检测电压进行过欠压保护（继电器控制）+PWM把直流电压斩波成脉动直流。 -Function: STC12C2052AD AD converter output C program+PWM used successfully. Applications: AD detection voltage over-voltage protection (relay control)+PWM the DC
wanju
- 混凝土简支梁的弯矩曲率曲线绘制，输入截面尺寸及配筋情况，即可得到整个阶段的弯矩曲率曲线-Concrete beam bending curvature of the curve plotting, input section size and reinforcement, the bending curvature of curve to get the whole stage
DRC
- DRC规则，集成电路版图设计约束条件，设计规则，SMIC TD-LO65-DR-2001v13-DRC rules, IC layout design constraints, design rules, SMIC TD-LO65-DR-2001v13
matlab
- 基于神经网络的植物叶片分类识别 -Plant leaves Plant leaves classification based on neural network classification based on neural network
M590
- 有方m590的官方说明和编程指南，初学gsm模块很好用-youfang m590
Distributed-energy-system-_-DING
- 在一个小型分布式发电系统的基础上, 建立分布式供能系统的调度策略和经济调度模型, 通过考虑各种电源的约束条件, 用改进的遗传算法进行求解, 使得分布式微网系统能够实现热电联供, 满足用户的需求. 算例系 统验证了模型与算法的可行性。-On the basis of a small distributed generation systems established on the scheduling policy and economic dispatch model of distribu
DSM501
- 灰尘传感器的相关pdf资料查看，学习如何开发该传感器-Pdf data related to dust sensor view, learn how to develop the sensor