搜索资源列表
MITAT-boshi
- 一篇关于乳腺癌早期检测的微波热致成像技术的研究论文，博士论文定稿-An early detection of breast cancer caused by microwave thermal imaging technology, research papers, thesis final
MITAT-xitong
- 一篇关于乳腺癌早期检测的微波热致成像技术的硬件系统研究论文-An early detection of breast cancer caused by microwave thermal imaging technology hardware research papers
MITAT-yuanxing
- 一篇关于乳腺癌早期检测的微波热致成像技术的硬件系统研究论文 -An early detection of breast cancer caused by microwave thermal imaging technology hardware research papers
lnwen
- 针对不同检测信号，设计出相应信号处理的软件，实现系统的柔性在线检测功能。实验结果表明系统能快速准确地完成电路板检测的功能。-According to different detection signal, design corresponding signal processing software, realize the flexibility of the system online testing function. The experimental results show that
abc
- 为解决上电电路板功能智能测试的问题，提出一种以单片机为处理器核心,基于can总线的在线柔性检测系统, 外加模拟信号调理、模数转换、人机接口，进行智能测控系统所需的信号，实现数据采集、即时搬运和快速循环存取。 针对不同检测信号，设计出相应信号处理的软件，实现系统的柔性在线检测功能。实验结果表明系统能快速准确地完成电路板检测的功能。-To solve the power-on circuit board functional test of intelligent questions, propos
06036457
- An Experimental Study of Induction Motor Current Signature Analysis Techniques for Incipient Broken Rotor Bar Detection
Adaptive-Body-Posture-Analysis
- Adaptive Body Posture Analysis for Elderly-Falling Detection with Multisensors
TEM
- 晚期瞬变电磁信号是大参数、 多频率、 且各频率分量未知的电磁信号， 特别在晚期还是强噪声背景下的微弱信号． 随机共振系统可以在极限信噪比的情况下提取微弱信号， 但仅适用于小参数、 单一频率或频率已知的高频信号的情况． 为此， 本文提出一种基于尺度变换的随机共振算法用于检测晚期瞬变电磁信号， 该方法充分利用了随机共振检测弱信号的优势， 通过引入尺度变换， 消除了随机共振系统对待测信号频率的限制， 在绝热近似理论下，实现了从强噪声中提取出微弱晚期瞬变电磁目标信号．-Transient Electro
DCT
- Intrution detection system synopsis for database
quantising
- here we are quantising the given vioce signal and it is thresholed for detection of the signal
ThwartingVMDetection_Liston_Skoudis
- OntheCuttingEdge: Thwarting: Virtual Machine Detection Various methods of vm detection uploaded by d3m
edge_detection
- in this file the different types of edge detection techniques are described very easiy
__Fundamentals_of_Radar_Signal_Processing
- radar analysis and cfar detection-radar analysis and cfar detection
b3a07351-3e92-44d2-a85a-c41ee559fd24
- Old Versions of File Detection Algorithms
Project_Template2
- ANOMALY DETECTION IN WIRELESS SENSOR NETWORKS
11
- 介绍了一种基于振动信号隐马尔可夫模型(HMM)的新的齿轮故障检测和诊断方案。 首先从振动信号中提取特征,这些信号既包括正常齿轮也包括故障齿轮,特征以振动信号自回归模 型的多项式传递函数的反射系数为基础。这些特征用来训练HMM归类各种齿轮状况。经过试验 验证,用这些特征判断故障的准确性很高。 -:A newgear fault detection and diagnosis scheme based on Hidden MarkovModel (HMM) of vibra- t
41
- 基于小波包的信号瞬态成分检测与提取方法及其应用,提出基于小波包分解特征表示和瞬态特征重 建方法并应用于汽车变速器齿轮的故障诊断,结果表明基于小波包分解的信号特征表示方法能有效检测信号中瞬 态成分的存在,瞬态成分的重建结果有效地表示了齿轮的故障状态。 -The detection and extraction of signal transients through wavelet packets decomposition are studied and signal trans
was55
- face detection research
research
- Object detection research
Software-Error-Detection-through-Testing-and-Anal
- Software error detecting