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Andreas Spanias
Researcher at Arizona State University
Publications - 512
Citations - 8918
Andreas Spanias is an academic researcher from Arizona State University. The author has contributed to research in topics: Speech coding & Speech processing. The author has an hindex of 36, co-authored 490 publications receiving 7895 citations. Previous affiliations of Andreas Spanias include Arizona's Public Universities & Intel.
Papers
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Journal ArticleDOI
On the Asymptotic Efficiency of Distributed Estimation Systems With Constant Modulus Signals Over Multiple-Access Channels
TL;DR: It is shown that this distributed estimation system does not incur an efficiency loss if and only if the sensing noise distribution is Gaussian and a necessary and sufficient condition for equality is found for the first time in the literature.
Proceedings ArticleDOI
Distributed Bayesian Estimation with Low-rank Data: Application to Solar Array Processing
TL;DR: A distributed array processing algorithm to analyze the power output of solar photo-voltaic (PV) installations, leveraging the low-rank structure inherent in the data to estimate possible faults and derive a Bayesian lower bound on the shading parameter’s mean squared estimation error.
Posted Content
A Deep Learning Approach To Multiple Kernel Fusion
Huan Song,Jayaraman J. Thiagarajan,Prasanna Sattigeri,Karthikeyan Natesan Ramamurthy,Andreas Spanias +4 more
TL;DR: This paper introduces the kernel dropout regularization strategy coupled with the use of an expanded set of composition kernels and adopts a deep neural network architecture for fusing the embeddings.
Proceedings ArticleDOI
Adaptive emergency scenery video communications using HEVC for responsive decision support in disaster incidents
Zinonas C. Antoniou,Andreas S. Panayides,Marios S. Pattichis,S. Stavrou,Efthyvoulos Kyriacou,Andreas Spanias,Anthony G. Constantinides,Constantinos S. Pattichis +7 more
TL;DR: A jointly optimal solution in the encoding time, bitrate, and video quality space is feasible and the scalability of the proposed algorithm is demonstrated using different HEVC encoding configurations and realistic modelling of 802.11× wireless infrastructure for emergency scenery and response videos.
Journal ArticleDOI
A fast frequency-domain adaptive algorithm
Wasfy B. Mikhael,Andreas Spanias +1 more
TL;DR: The FOBA is the frequency-domain implementation of the recently proposed optimum block algorithm (OBA) and results in computational savings in comparison to the OBA and in performance enhancement relative to thefrequency-domain LMS algorithm.