Faculty

Institution

Unit

Venue

Arnab K. Shaw

Adjunct Faculty and Professor Emeritus

Wright State University

Affiliations

College of Engineering and Computer Science

Computer Science and Engineering

Electrical Engineering

Arnab K. Shaw is currently serving as a College Of Engineering And Computer Science Adjunct Faculty and Professor Emeritus at Wright State University.

Honors

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Experiences

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Education

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Arnab K. Shaw

Wright State University

Adjunct Faculty and Professor Emeritus

You can click a keyword to filter the displayed items

electrical engineering systems engineering signal processing machine learning optical engineering aerospace engineering digital signal processing remote sensing computer vision pattern recognition applied mathematics photonics target detection optical information processing filter design instrumentation unit circle roots beamforming optical remote sensing object detection speech processing power electronics acoustic signal processing sonar signal processing radar signal processing audio signal processing impulse response data wireless communications automatic control cognitive radio waveform analysis radio propagation wireless propagation radio engineering automatic target recognition estimation theory positioning systems acoustical engineering audio electroacoustics optimal identification eigen templates recursive digital filters adaptive matched filter sal data microwave technology machine vision localization engineering optimization vehicular technology synthetic aperture radar information fusion plant science plant biotechnology spectral analysis spectrum management radio communication timing analysis timefrequency analysis mobile signal processing satellite signal processing eeg signal processing radio frequency identification transaction processing array processing optical character recognition pole-zero modeling adaptive waveform spectral sharing capability cognitive radio waveform structured matrix approximation discrete-time systems resonant structures arma-based time-signature estimator radar technology industrial informatics

Notable Scholarly Works

Notable Federal Grants

Collaborators

First Upper Limits on the 21 CM Signal Power Spectrum From Cosmic Dawn From One Night of Observations With Nenufar (Corrigendum). Astronomy and Astrophysics (2024)

S. MunshiF.G. MertensL.V.E. KoopmansA.R. OffringaB. SemelD. AubertR. BarkanaA. BraccoS.A. BrackenhoffB. CecconiE. CeccottiS. CorbelA. FialkovB.K. GehlotR. GharaJ.N. GirardJ.M. GrieNone ssNone meierNone oNone ferI. HothiNone eNone riotM. MeviusP. OcvirkA.K. ShawG. TheureauS. YatawattaP. ZarkaS. Zaroubi

high-energy astrophysicsastronomylunar sciencecosmic dawnobservational astronomyrelativistic astrophysicsastronomical image analysisupper limitsastrophysicsplanetary sciencesstellar astrophysics

Probing the Intergalactic Medium During the Epoch of Reionization Using 21 CM Signal Power Spectra. Astronomy and Astrophysics (2024)

R. GharaA. K. ShawS. ZaroubiB. CiardiG. MellemaL. V. E. KoopmansA. AcharyaM. ChoudhuryS. K. GiriI. T. IlievQ. MaF. G. Mertens

extragalactic astronomyhigh-energy astrophysicsintergalactic mediumastronomyastrophysics

Exploiting Unit Circle Roots for Improved Radar Moving Target Detection in Low Rank Clutter With Limited Secondary Data. IEEE Transactions on Aerospace and Electronic Systems (2023)

Jared SmithArnab Shaw

aeronauticslimited secondary dataunmanned aerial vehicleslow rank clutterradarcomputer visionaerospace roboticsunit circle rootsaerospace technologytarget detectionaerospace engineering

Improved Moving Target Detection in Homogeneous and Heterogeneous Clutter With Limited Secondary Data Using Unit Circle Roots Constraints. IEEE Transactions on Aerospace and Electronic Systems (2023)

Jared SmithArnab Shaw

systems engineeringautomatic controlunmanned aerial vehiclesaeronauticscomputer visionlimited secondary dataaerospace roboticsaerospace technologytarget detectionelectrical engineeringremote sensingaerospace engineering

Exploiting Unit Circle Roots for Moving Target Detection in Low-Rank Clutter With Low Sample Support. 2014 48th Asilomar Conference on Signals, Systems and Computers (2022)

Jared SmithArnab Shaw

low-rank cluttersystems engineeringlow sample supportcomputer visionunit circle rootstarget detectionmachine learning

Improved Moving Target Detection by Modified Unit Circle Roots Constrained Adaptive Matched Filter. 2022 IEEE Radar Conference (RadarConf22) (2022)

Jared SmithArnab Shaw

sonar signal processingradarcomputer visionadaptive filterobject detectiontarget detectionpositioning systemsremote sensingadaptive matched filterradar signal processinginstrumentationmachine learningaerospace engineering

Moving Target Detection in K-Distributed Clutter Using Unit Circle Toeplitz Rectification With Limited Secondary Data. 2014 48th Asilomar Conference on Signals, Systems and Computers (2022)

Jared SmithArnab Shaw

systems engineeringlimited secondary datacomputer visiontarget detectionremote sensingk-distributed cluttermachine learning

Spatial Domain Proof of Unit Circle Roots Property of Mvdr and Improved Performance Results. 2022 IEEE Radar Conference (RadarConf22) (2022)

Arnab ShawJared Smith

spatial analysissignal processingradarengineeringspatial domain proofelectrical engineeringdigital signal processingradar signal processingaerospace engineering

A New Approach to Moving Target Detection Using Unit Circle Roots Constrained Adaptive Matched Filter. 2014 48th Asilomar Conference on Signals, Systems and Computers (2021)

Jared SmithArnab ShawAboulnasr Hassanien

computer sciencesystems engineeringsignal processingcomputer visionunit circle rootsobject detectiontarget detectionadaptive matched filterdigital signal processingpattern recognitionmachine learning

Mvdr Beamformer Design by Imposing Unit Circle Roots Constraints for Uniform Linear Arrays. IEEE Transactions on Signal Processing (2021)

Arnab ShawJared SmithAboulnasr Hassanien

signal processingmvdr beamformer designengineeringtransaction processingarray processingelectrical engineeringbeamforminguniform linear arraysdigital signal processingapplied physicsinstrumentation

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Arnab K. Shaw

Adjunct Faculty and Professor Emeritus

Wright State University

Affiliations

College of Engineering and Computer Science

Computer Science and Engineering

Electrical Engineering

Arnab K. Shaw is currently serving as a College Of Engineering And Computer Science Adjunct Faculty and Professor Emeritus at Wright State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Arnab K. Shaw

Wright State University

Adjunct Faculty and Professor Emeritus

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

First Upper Limits on the 21 CM Signal Power Spectrum From Cosmic Dawn From One Night of Observations With Nenufar (Corrigendum). Astronomy and Astrophysics (2024)

high-energy astrophysicsastronomylunar sciencecosmic dawnobservational astronomyrelativistic astrophysicsastronomical image analysisupper limitsastrophysicsplanetary sciencesstellar astrophysics

Probing the Intergalactic Medium During the Epoch of Reionization Using 21 CM Signal Power Spectra. Astronomy and Astrophysics (2024)

R. GharaA. K. ShawS. ZaroubiB. CiardiG. MellemaL. V. E. KoopmansA. AcharyaM. ChoudhuryS. K. GiriI. T. IlievQ. MaF. G. Mertens

extragalactic astronomyhigh-energy astrophysicsintergalactic mediumastronomyastrophysics

Exploiting Unit Circle Roots for Improved Radar Moving Target Detection in Low Rank Clutter With Limited Secondary Data. IEEE Transactions on Aerospace and Electronic Systems (2023)

Jared SmithArnab Shaw

aeronauticslimited secondary dataunmanned aerial vehicleslow rank clutterradarcomputer visionaerospace roboticsunit circle rootsaerospace technologytarget detectionaerospace engineering

Jared SmithArnab Shaw

Exploiting Unit Circle Roots for Moving Target Detection in Low-Rank Clutter With Low Sample Support. 2014 48th Asilomar Conference on Signals, Systems and Computers (2022)

Jared SmithArnab Shaw

low-rank cluttersystems engineeringlow sample supportcomputer visionunit circle rootstarget detectionmachine learning

Improved Moving Target Detection by Modified Unit Circle Roots Constrained Adaptive Matched Filter. 2022 IEEE Radar Conference (RadarConf22) (2022)

Jared SmithArnab Shaw

Moving Target Detection in K-Distributed Clutter Using Unit Circle Toeplitz Rectification With Limited Secondary Data. 2014 48th Asilomar Conference on Signals, Systems and Computers (2022)

Jared SmithArnab Shaw

systems engineeringlimited secondary datacomputer visiontarget detectionremote sensingk-distributed cluttermachine learning

Spatial Domain Proof of Unit Circle Roots Property of Mvdr and Improved Performance Results. 2022 IEEE Radar Conference (RadarConf22) (2022)

Arnab ShawJared Smith

spatial analysissignal processingradarengineeringspatial domain proofelectrical engineeringdigital signal processingradar signal processingaerospace engineering

A New Approach to Moving Target Detection Using Unit Circle Roots Constrained Adaptive Matched Filter. 2014 48th Asilomar Conference on Signals, Systems and Computers (2021)

Jared SmithArnab ShawAboulnasr Hassanien

computer sciencesystems engineeringsignal processingcomputer visionunit circle rootsobject detectiontarget detectionadaptive matched filterdigital signal processingpattern recognitionmachine learning

Mvdr Beamformer Design by Imposing Unit Circle Roots Constraints for Uniform Linear Arrays. IEEE Transactions on Signal Processing (2021)

Arnab ShawJared SmithAboulnasr Hassanien

signal processingmvdr beamformer designengineeringtransaction processingarray processingelectrical engineeringbeamforminguniform linear arraysdigital signal processingapplied physicsinstrumentation

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Similar Faculty Members

Brian Rigling

Institution

Ohio State University

radar signal processing

sensor signal

Dr. Nathan Goodman

Institution

University of Oklahoma

radar signal processing

signal processing

Benjamin C. Flores

Institution

University of Texas at El Paso

signal processing

electromagnetic compatibility

Mark Yeary

Institution

University of Oklahoma

industrial informatics

radar signal processing

Abhijit Mahalanobis

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University of Arizona

pattern recognition

localization

Lee Potter

Institution

Ohio State University

radiology

signal detection

Okan K. Ersoy

Institution

Purdue University

computer science

machine learning

Hai Deng

Institution

Florida International University

industrial informatics

radar signal processing

Hua Lee

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University of California, Santa Barbara

radar signal processing

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Brian Rigling

Institution

University of Dayton

multistatic radar

engineering