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Andreas Spanias

Andreas SpaniasAndreas Spanias is Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU). He is also the director of the Sensor Signal and Information Processing (SenSIP) center and the founder of the SenSIP industy consortium (now and NSF I/UCRC site). His research interests are in the areas of adaptive signal processing, speech processing, and sensor systems. He and his student team developed the computer simulation software Java-DSP and its award winning iPhone/iPad and Android versions. He is the author of two text books: Audio Processing and Coding by Wiley and DSP; An Interactive Approach (2nd Ed.). He served as Associate Editor of the IEEE Transactions on Signal Processing and as General Co-chair of IEEE ICASSP-99. He also served as the IEEE Signal Processing Vice-President for Conferences. Andreas Spanias is co-recipient of the 2002 IEEE Donald G. Fink paper prize award and was elected Fellow of the IEEE in 2003. He served as a Distinguished lecturer for the IEEE Signal processing society in 2004. He is a series editor for the Morgan & Claypool lecture series on algorithms and software. Read More Read Less

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1.
Image Understanding using Sparse Representations36 %
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An Introduction to Kalman Filtering with MATLAB Examples36 %
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15 Oct 2013
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Audio Signal Processing and Coding43 %
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01 Jan 2013
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Machine and Deep Learning Algorithms and Applications36 %
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Machine Learning for Solar Array Monitoring, Optimization, and Control36 %
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Reconstruction-Free Compressive Vision for Surveillance Applications36 %
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Node Localization in Wireless Sensor Networks36 %
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MATLAB® Software for the Code Excited Linear Prediction Algorithm36 %
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Distributed Network Structure Estimation Using Consensus Methods36 %
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Analysis of the MPEG-1 Layer III (MP3) Algorithm using MATLAB36 %
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01 Dec 2011
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Narrowband Direction of Arrival Estimation for Antenna Arrays36 %
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Signal Processing for Solar Array Monitoring, Fault Detection, and Optimization36 %
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Multipath Effects in GPS Receivers36 %
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30 Dec 2015
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Notes on Permanent-way Material, Plate-laying, and Points & Crossings9 % NR
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Notes on Permanent-way Material, Plate-laying, and Points & Crossings12 % NR
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17.
Cognitive Fusion for Target Tracking
Publisher: Morgan & Claypool
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12 Sep 2019
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Reconstruction-Free Compressive Vision for Surveillance Applications
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02 May 2019
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19.
Distributed Network Structure Estimation Using Consensus Methods
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02 Mar 2018
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Narrowband Direction of Arrival Estimation for Antenna Arrays
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08 Oct 2008
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