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Compressed Sensing MRI     Compressed Sensing  MRI       2015/8/21
Compressed sensing (CS) aims to reconstruct signals and images from significantly fewer measurements than were traditionally thought necessary. Magnetic Resonance Imaging (MRI) is an essential...
We study the notion of Compressed Sensing (CS) as put forward in [14] and related work [20, 3, 4]. The basic idea behind CS is that a signal or image, unknown but supposed to be compressible by a kn...
Suppose x is an unknown vector in R m (depending on context, a digital image or signal); we plan to acquire data and then reconstruct. Nominally this ‘should’ require m samples. But suppose we know...
Compressed sensing aims to undersample certain high-dimensional signals yet accurately reconstruct them by exploiting signal characteristics. Accurate reconstruction is possible when the object to be ...
构建底层逻辑树能有效降低集中式top-k查询带来的巨大通信开销,针对现有逻辑树都以固定汇聚节点为根节点,导致其附近节点能耗太大、过早死亡的问题,本文在无固定汇聚节点的网络背景下,基于连通支配集,提出一种能耗均衡的top-k查询最优支撑树构建方法,综合节点能量、度数以及与邻节点通信开销,选取能量代价小的作为支配节点负责查询中间数据处理,在每次查询中,节点基于地理位置ID轮流作为根节点,有效均衡节点的...
We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a simple distributed iterati...
Motivated by applications to sensor, peer-to-peer and ad hoc networks, we study distributed algorithms, also known as gossip algorithms, for exchanging information and for computing in an arbitrarily ...
We consider a sensor network in which each sensor takes measurements, at various times, of some unknown parameters, corrupted by independent Gaussian noises. Each node can take a finite or infinite nu...
Recently, a semidefinite programming (SDP) relaxation approach has been proposed to solve the sensor network localization problem. Although it achieves high accuracy in estimating the sensor locations...
We consider the problem of choosing a set of k sensor measurements, from a set of m possible or potential sensor measurements, that minimizes the error in estimating some parameters. Solving this prob...
This paper demonstrates a novel optimization-based approach to estimating fault states in a DC power system. The model includes faults changing the circuit topology along with sensor faults. Our appro...
This paper reports results of an experiment LRVE (Leaf Area Index Retrieval and Validation Experiment) that was conducted over agricultural areas of Central India during winter season of 2001-02, ai...
针对电量传感器产品可靠性问题的愈加突出,总结最高效的电量传感器可靠性筛选试验方法。对电子产品的可靠性试验技术及其数学模型进行介绍,重点阐述适合电量传感器的环境应力筛选试验项目,对各试验筛选强度和筛选效率进行探讨,并提出改进建议,可为电量传感器应用行业的产品可靠性研究提供参考。
针对闭环控制的飞轮系统,本文采用一种基于高斯混合模型(GMM)的故障诊断方法检测飞轮的传感器故障。姿态机动的反作用飞轮是一个多工况系统。通过飞轮的历史观测数据建立飞轮的GMM模型,它用有限个高斯函数的加权组合来有效地拟合多工况的观测数据,利用基于贝叶斯推理的后验概率(BIP)指标计算新样本偏离GMM模型的程度,该指标能避免由于数据分类不确定而引起的误检测问题。仿真结果表明BIP指标不需要复杂的数学...

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