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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
Optimality and stability of the K-hyperline clustering algorithm
TL;DR: It is proved that the K-hyperline clustering algorithm converges to a locally optimal solution for a given set of training data, based on Lloyd's optimality conditions.
Journal Article
Predictability of epileptic seizures: a comparative study using Lyapunov exponent and entropy based measures.
Shivkumar Sabesan,K. Narayanan,Awadhesh Prasad,Andreas Spanias,James Chris Sackellares,Leon D. Iasemidis +5 more
TL;DR: A comparative study involving measures from the theory of chaos, namely the short-term largest Lyapunov exponent, Shannon and Kullback-Leibler entropies from information theory, has been carried out in terms of their predictability of temporal lobe epileptic seizures.
Journal ArticleDOI
Electronic-nose for detecting environmental pollutants: signal processing and analog front-end design
Hyuntae Kim,Bharatan Konnanath,Prasanna Sattigeri,Joseph Wang,Ashok Mulchandani,Nosang V. Myung,Marc A. Deshusses,Andreas Spanias,Bertan Bakkaloglu +8 more
TL;DR: This paper presents techniques to detect, digitize, denoise and classify a certain set of analytes, and demonstrates signal denoising using a discrete wavelet transform based technique.
Proceedings ArticleDOI
Performance comparison of localization techniques for sequential WSN discovery
Xue Zhang,Mahesh K. Banavar,Marc Willerton,Athanassios Manikas,Cihan Tepedelenlioglu,Andreas Spanias,Trevor Thornton,Eric M. Yeatman,Anthony G. Constantinides +8 more
TL;DR: In this paper, the performance of different localization algorithms are compared in the context of the sequential Wireless Sensor Network (WSN) discovery problem.
Proceedings ArticleDOI
Distributed location detection in wireless sensor networks
TL;DR: A distributed location detection problem in wireless sensor networks (WSNs) with M anchors and one node is considered, and results show that the choice of K depends on the requirement of the overall probability of false alarm.