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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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Audio Signal Processing and Coding
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AED139
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01 Jan 2013
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Image Understanding using Sparse Representations
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An Introduction to Kalman Filtering with MATLAB Examples
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AED153
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15 Oct 2013
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Machine and Deep Learning Algorithms and Applications
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AED262
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Release:
22 Dec 2021
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Machine Learning for Solar Array Monitoring, Optimization, and Control
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Reconstruction-Free Compressive Vision for Surveillance Applications
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Distributed Network Structure Estimation Using Consensus Methods
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Node Localization in Wireless Sensor Networks
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Narrowband Direction of Arrival Estimation for Antenna Arrays
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MATLAB® Software for the Code Excited Linear Prediction Algorithm
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Analysis of the MPEG-1 Layer III (MP3) Algorithm using MATLAB
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AED153
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01 Dec 2011
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Audio Signal Processing and Coding
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AED632
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Release:
02 Mar 2007
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Multipath Effects in GPS Receivers
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AED130
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30 Dec 2015
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Positive Unlabeled Learning
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AED230
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Release:
21 Apr 2022
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