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Multi-sensor generalized sequential probability ratio test using level-triggered sampling

Shang Li, Xiaoou Li, Xiaodong Wang, Jingchen Liu
2015 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)  
Multi-Sensor Generalized Sequential Probability Ratio Test Using Level-Triggered Sampling Proposed Multi-Sensor Sequential Test Proposed: Level-Triggered Sampling • At fusion center: − Global statistic  ...  Multi-Sensor Generalized Sequential Probability Ratio Test Using Level-Triggered Sampling Proposed Multi-Sensor Sequential Test Outline 1 Problem Statement 2 Proposed Multi-Sensor Sequential Test  ... 
doi:10.1109/globalsip.2015.7418218 dblp:conf/globalsip/LiLWL15 fatcat:mxxvjzmj65ccziy74tsjxwou7e

Decentralized Sequential Composite Hypothesis Test Based on One-Bit Communication

Shang Li, Xiaoou Li, Xiaodong Wang, Jingchen Liu
2017 IEEE Transactions on Information Theory  
On one hand, in the centralized scenario, where local samples are precisely transmitted to the fusion center, the generalized sequential likelihood ratio test (GSPRT) is shown to be asymptotically optimal  ...  This paper considers the sequential composite hypothesis test with multiple sensors.  ...  INTRODUCTION It is well known that the sequential hypothesis test generally requires a smaller expected sample size to achieve the same level of error probabilities compared to its fixed-sample-size counterpart  ... 
doi:10.1109/tit.2017.2693156 fatcat:q2hpwkrzlzgkpobvpptquolqz4

Sequential Distributed Detection in Energy-Constrained Wireless Sensor Networks

2014 IEEE Transactions on Signal Processing  
Specifically, each sensor computes the local log-likelihood ratio (LLR) and samples it using level-triggered sampling.  ...  The recently proposed sequential distributed detector based on level-triggered sampling operates as simple as the decision fusion techniques and at the same time performs as well as the data fusion techniques  ...  Specifically, each sensor computes the local log-likelihood ratio (LLR) and samples it using level-triggered sampling.  ... 
doi:10.1109/tsp.2014.2320458 fatcat:o5ew62n6tzehjolt554ny5wdnm

Monitoring disturbances in smart grids using distributed sequential change detection

Shang Li, Xiaodong Wang
2013 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)  
PhD thesis: Distributed sequential statistical inference, with applications in anomaly detection and cyber security in sensor networks.  ...  Research Interests: Sequential decision-making, stochastic control, dynamic optimization, change-point detection, time series analysis, statistical signal processing, and statistical machine learning.  ...  [C3] Shang Li, Xiaoou Li, Xiaodong Wang, and Jingchen Liu, "Multi-Sensor Generalized Sequential Computer Skills Matlab, Python, C/C++, Maple, Mathematica, html, L A T E X Probability Ratio Test Using  ... 
doi:10.1109/camsap.2013.6714100 dblp:conf/camsap/LiW13 fatcat:gqqs5bnvizdbzkwibvr3vhcuwq

Channel-Aware Decentralized Detection via Level-Triggered Sampling

Yasin Yilmaz, George V. Moustakides, Xiaodong Wang
2013 IEEE Transactions on Signal Processing  
Each sensor computes its local log-likelihood ratio (LLR), samples it using the level-triggered sampling, and upon sampling transmits a single bit to the FC.  ...  Upon receiving a bit from a sensor, the FC updates the global LLR and performs a sequential probability ratio test (SPRT) step. We derive the fusion rules under various types of channels.  ...  The sensors form local log-likelihood ratios (LLRs) based on their observations and sample their LLRs using the level-triggered sampling.  ... 
doi:10.1109/tsp.2012.2222401 fatcat:irj5rzaol5dx7kheqljr27oizy

Sequential (Quickest) Change Detection: Classical Results and New Directions [article]

Liyan Xie, Shaofeng Zou, Yao Xie, Venugopal V. Veeravalli
2021 arXiv   pre-print
This survey starts with the basics of sequential change detection, and then moves on to generalizations and extensions of sequential change detection theory and methods.  ...  Online detection of changes in stochastic systems, referred to as sequential change detection or quickest change detection, is an important research topic in statistics, signal processing, and information  ...  The decentralized detection with level-triggered sampling was considered in [241] .  ... 
arXiv:2104.04186v1 fatcat:ypxkrjyyf5dprpsc5b4kxxrnhm

Performance of a CMS silicon strip detector module with APV25 readout

M Friedl, T Bauer, J Hrubec, M Krammer, M Pernicka
2002 Nuclear Instruments and Methods in Physics Research Section A : Accelerators, Spectrometers, Detectors and Associated Equipment  
A first prototype module has been built consisting of two chained silicon sensors of ¿¾¼ Ñ thickness and three APV25 chips (version S0).  ...  Four triggers separated by Ò× are sent to the APV25, which returns three consecutive samples after each trigger, resulting in a total of twelve sequential samples, revealing the (negative) pulse shape.  ...  Multi-Peak Mode The APV Sequencer is able to generate different programmable trigger patterns which are issued either by software or by a hardware trigger.  ... 
doi:10.1016/s0168-9002(02)00511-9 fatcat:dar63ktqbnadfhaz75lvbslnb4

ASL Trigger Recognition in Mixed Activity/Signing Sequences for RF Sensor-Based User Interfaces [article]

Emre Kurtoglu, Ali C. Gurbuz, Evie A. Malaia, Darrin Griffin, Chris Crawford, Sevgi Z. Gurbuz
2021 arXiv   pre-print
The recognition accuracy of signs with varying kinematic properties is compared and used to make recommendations on appropriate trigger sign selection for RFsensor based user interfaces.  ...  RF sensors have been recently proposed as a new modality that can be effective under the circumstances where video is not.  ...  For both inputs, 80% of the data is used for training and 20% for testing, with an equal number of samples from each sequence.  ... 
arXiv:2111.05480v3 fatcat:ofjknvlxwja65cr3rihcv4izvy

Sequential decentralized detection under noisy channels

Yasin Yilmaz, George Moustakides, Xiaodong Wang
2012 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton)  
Each sensor computes its local log-likelihood ratio (LLR), samples it using the level-triggered sampling, and upon sampling transmits a single bit to the FC.  ...  Upon receiving a bit from a sensor, the FC updates the global LLR and performs a sequential probability ratio test (SPRT) step. We derive the fusion rules under various types of channels.  ...  Among those works [5] , [6] used sequential probability ratio test (SPRT) both at sensors and the FC.  ... 
doi:10.1109/allerton.2012.6483313 dblp:conf/allerton/YilmazMW12 fatcat:yza3fxeatnfphocet5fwlrxera

Optimal sequential parameter estimation

Yasin Yilmaz, George V. Moustakides, Xiaodong Wang
2013 2013 IEEE International Symposium on Information Theory  
We propose an asymptotically optimal decentralized scheme based on level-triggered sampling, a non-uniform sampling technique. Performance of the proposed scheme is analyzed.  ...  We develop optimal centralized sequential estimators under different formulations of the problem. Decentralized sequential estimation is also considered for wireless sensor networks.  ...  On the other hand, similar to [5] , in this paper we will consider using level-triggered sampling, a non-uniform sampling strategy, which perfectly fits to transmitting information in decentralized systems  ... 
doi:10.1109/isit.2013.6620696 dblp:conf/isit/YilmazMW13 fatcat:krmoo7qlrbgrxjnbg23akigyvi

Detection of Small-Scale Primary Users in Cognitive Radio Networks

Alexander W. Min, Xinyu Zhang, Kang G. Shin
2011 IEEE Journal on Selected Areas in Communications  
These findings provide useful insights and guidelines in designing a sensing scheme for detection of small-scale primaries in CRNs.  ...  However, it is unclear whether and how they can improve the detection of a small-scale primary signal because of (i) its small signal footprint due to the use of weak transmit-power, and (ii) the unpredictability  ...  We adopt Wald's Sequential Probability Ratio Test (SPRT) [31] to process the statistics and determine when to stop sensing.  ... 
doi:10.1109/jsac.2011.110208 fatcat:yuakeqwcbvhntpfikcsnhesy5e

Experimental implementation of robotic sequential nuclear search

R.A. Cortez, X. Papageorgiou, H.G. Tanner, A.V. Klimenko, K.N. Borozdin, W.C. Priedhorsk
2007 2007 Mediterranean Conference on Control & Automation  
level.  ...  In the algorithm that we implement in hardware, a model of the underlying physical process is used to guide measurement, which then closes the loop by updating the model.  ...  The sensor was assembled for us by the Alphaspectra, Inc. The pulse generated by the diode is very weak and needs to be amplified. We used the A250 preamplifier with external FET from Amptek.  ... 
doi:10.1109/med.2007.4433797 fatcat:ylty7cv2rbgcxoe4uiduzkziby

Primary User Detection in Multi-Antenna Cognitive Radio [chapter]

Oscar Filio, Serguei Primak, Valeri Kontorovich
2011 Recent Advances in Wireless Communications and Networks  
The authors have made every effort to systematically organize the information on these topics to make it easily accessible to readers of any level.  ...  Insightful and reader-friendly descriptions are presented to nourish readers of any level, from practicing and knowledgeable communication engineers to beginning or professional researchers.  ...  Sequential analysis for multi-antenna cognitive radio Sequential analysis overview The sequential analysis and the sequential probability ratio test (SPRT) introduced by A.  ... 
doi:10.5772/21382 fatcat:tvcmsr2me5bzlbgokkqf52pski

Tests With Soft X-rays of an Improved Monolithic SOI Active Pixel Sensor

Syukyo Gando Ryu, Takeshi Go Tsuru, Gregory Prigozhin, Steve Kissel, Marshall Bautz, Beverly LaMarr, Shinya Nakashima, Richard F. Foster, Ayaki Takeda, Yasuo Arai, Toshifumi Imamura, Takafumi Ohmoto (+1 others)
2013 IEEE Transactions on Nuclear Science  
In this work, we investigate a revised chip (XRPIX1b) for soft X-rays used in frontside illumination.  ...  We have been developing monolithic active pixel sensors with 0.2 µm Silicon-On-Insulator (SOI) CMOS technology, called SOIPIX, for high-speed wide-band X-ray imaging spectroscopy on future astronomical  ...  We use 6.4 keV X-rays (Fe Kα) as input signals. We acquire data from 3×3 pixel island in a multi-sample method similar to our single pixel multi-sample readout (section IV).  ... 
doi:10.1109/tns.2012.2231880 fatcat:ip35as57ivgollp637kzvmttje

Chemical Sensor Systems and Associated Algorithms for Fire Detection: A Review

Jordi Fonollosa, Ana Solórzano, Santiago Marco
2018 Sensors  
Nevertheless, the use of dynamic features and multivariate models that exploit sensor correlations seems imperative.  ...  We also examine the experimental protocols used for the validation of the different approaches, as the complexity of the test measurements also impacts on reported sensitivity and specificity measures.  ...  The authors generated a dataset with 31 experiments that included open flame fires, smoldering fires, heated samples and samples at ambient temperature that were introduced using an atomizer.  ... 
doi:10.3390/s18020553 pmid:29439490 pmcid:PMC5855033 fatcat:e6bwk25bcrgodfpqkpiapdez7a
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