About
Prof. Arie Yeredor
School of Electrical Engineering
Faculty of Engineering
Tel Aviv University
I received the B.Sc. and Ph.D. degrees (summa cum laude) in electrical engineering from Tel Aviv University (TAU), Tel Aviv, Israel, in 1984 and 1997, respectively. I joined the Senior Academic Staff at TAU's Faculty of Engineering in 2020. From 2015 to 2016, I was on sabbatical leave from TAU, as a Visiting Professor at the Georgia Institute of Technology, Atlanta, GA, USA. I am currently a Professor with the Department of Electrical Engineering–Systems, School of Electrical Engineering, and serve as Vice Dean for Teaching and Students at the Faculty of Engineering at TAU. I an the Kranzberg Chair in Signal Processing. My research and teaching interests include statistical and digital signal processing and estimation theory. I have also held a consulting position in these research areas with NICE Systems, Inc., Ra’anana, Israel, from 1990 to 2015. I served as a member of the IEEE Signal Processing Society’s Signal Processing Theory and Methods Technical Committee (2005-2010, 2016-2021) and currently serve as Chair of the International LVA/ICA Steering Committee and of the Signal Processing Chapter of IEEE Israel Section. I also serve as the Head of the Yitzhak and Chaya Weinstein Institute for Signal Processing Research, TAU. I was awarded a yearly Best Lecturer Award seven times at TAU. I was an Associate Editor of the IEEE Signal Processing Letters, IEEE Transactions on Circuits and Systems— Part II, and IEEE Transactions on Signal Processing, where I also served as a Senior Area Editor. I currently serve as a Senior Area Editor for the IEEE Signal Processing Letters and as the Feature Articles Area Editor for IEEE Signal Processing Magazine, where I also served as Guest Editor of a Special Issue on Source Separation and Applications. I am a Fellow of the IEEE.
Research
Statistical Signal Processing and Estimation Theory:
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Blind Signal Processing over Finite Fields
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Estimation of a Joint Probability Mass Function (PMF) Tensor from partial observations
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Blind Source Separation (BSS) and Independent Component Analysis (ICA)
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Hessians of the log characteristic function ("Charrelation Matrices") as an alternative to classical High-Order Statistics
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Passive time-delay estimation for multiple signals with multiple sensors
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Passive time-delay estimation in the presence of multipath
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Spectral estimation from partial data
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Sparsity-based signal processing and system identification
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Estimation in impulsive noise
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Extended Least Squares (XLS) estimation
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Non-asymptotic performance analysis
Linear & Multilinear-Algebraic Tools in Signal Processing:
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joint Canonic Polyadic Decomposition (CPD)
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Using tensors in non-asymptotic performance analysis
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Total Least Squares (TLS) and Errors-In-Variables (EIV) modeling
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Structured Total Least Squares (STLS) and related algorithms
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Algorithms for approximate joint diagonalization
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Optimal weighting in approximate joint diagonalization
Teaching
Courses I Teach / Taught:
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Introduction to Statistical Signal Processing
(4th-year undergraduate and graduate-level) -
Communication Systems
(3rd-4th year undergraduate) -
Introduction to Digital Signal Processing
(3rd-year undergraduate) -
Random Processes
(graduate) -
Digital Signal Processing
(graduate) -
Digital Processing of Single- and Multi-Dimensional Signals
(graduate) -
Advanced Digital Signal Processing Lab
(4th-year undergraduate) -
Introduction to Signal Processing
(2nd-year undergraduate to Biomedical Engineering Students) -
Digital Electronic Circuits
(3rd-year undergraduate) -
Estimation Theory
(graduate)
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