Efficient use of data structures for digital monopulse feature extraction

机译：有效利用数据结构进行数字单脉冲特征提取

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

Abstract: Data structures that are carefully matched to the processing technology used to implement them can lead to cost-effective designs for radar signal classification/sorting devices. During the past decade, HRB Systems has developed several generations of devices for use in sorting radar signals. The older devices employed analog demodulators and complicated post- demodulation processing to generate a large feature vector containing a set of parameters describing each measured pulse. Clever use of algorithmic data structures specifically tailored to exploit the capabilities of VLSI ASIC fabrication technology eliminated the need for multipliers, making possible a digital demodulator that is much smaller, faster, more reliable, and less expensive than the analog versions. Little information is lost when much smaller feature vectors are used to describe the pulses, enabling further substantial reductions in the complexity of the post-demodulation processing. As a result, the new feature extractor has a price/performance ratio over a hundred times better than the older devices. A four-chip implementation of the new feature extractor is described.!

机译：摘要：仔细匹配用于实现数据结构的处理技术的数据结构可以导致雷达信号分类/分选设备的经济高效设计。在过去的十年中，HRB Systems开发了几代用于分选雷达信号的设备。较旧的设备采用模拟解调器和复杂的后解调处理来生成大的特征向量，其中包含描述每个测量脉冲的一组参数。专门为利用VLSI ASIC制造技术的功能而专门设计的算法数据结构的巧妙使用消除了对乘法器的需求，从而使数字解调器比模拟版本小得多，更快，更可靠且更便宜。当使用更小的特征向量来描述脉冲时，几乎没有信息丢失，从而可以进一步大幅降低解调后处理的复杂度。结果，新功能提取器的性价比比旧设备高出一百倍。描述了新特征提取器的四芯片实现。

著录项

来源
《Data Structures and Target Classification》|1991年|p.226-232|共7页
会议地点 Orlando FL(US);Orlando FL(US)
作者
Robert McEachern; HRB Systems; Inc.; State College; PA; USA; Andrew J. Eckhardt; HRB Systems; Inc.; State College; PA; USA; Alexander Nauda; HRB Systems; Inc.; State College; PA; USA.;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类自动化技术、计算机技术;
关键词

相似文献

外文文献
中文文献
专利

1. Monopulse Feature Extraction and Fault Diagnosis Method of Rolling Bearing under Low-Speed and Heavy-Load Conditions [J] . Chang Liu, Gang Cheng, Xihui Chen, Shock and vibration . 2021,第a期

机译：低速和重载条件下滚动轴承的单伏特征提取及故障诊断方法
2. Efficient copy detection for compressed digital videos by spatial and temporal feature extraction [J] . Su Po-Chyi, Wu Chin-Song Multimedia Tools and Applications . 2017,第1期

机译：通过时空特征提取对压缩数字视频进行有效的拷贝检测
3. A data-reduction process for long-term EEGs. Feature extraction through digital processing in a multiresolution framework [J] . Sirne R.O., Isaacson S.I. IEEE Engineering in Medicine and Biology Magazine . 1999,第1期

机译：长期脑电图的数据缩减过程。通过多分辨率框架中的数字处理进行特征提取
4. Efficient use of data structures for digital monopulse feature extraction [C] . Robert McEachern, Andrew J. Eckhardt, Alexander Nauda Conference on data structures and target classification . 1991

机译：有效利用数字Monopulse特征提取的数据结构
5. Automatic extraction of terrain features from digital terrain data: A multi-faceted study. [D] . Lay, Jinn-Guey. 1993

机译：从数字地形数据中自动提取地形特征：多方面的研究。
6. Extraction of echocardiographic data from the electronic medical record is a rapid and efficient method for study of cardiac structure and function [O] . Quinn S Wells, Eric Farber-Eger, Dana C Crawford 2014

机译：从电子病历中提取超声心动图数据是研究心脏结构和功能的一种快速有效的方法
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常
8. Feature Extraction of PDV Challenge Data Set A with Digital Down Shift (DDS). [R] . Tunnell, T. W. 2012

机译：具有数字下移（DDs）的pDV挑战数据集a的特征提取。

Efficient use of data structures for digital monopulse feature extraction

摘要

著录项

相似文献

相关主题

期刊订阅