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About

Prof. Arie Yeredor

School of Electrical Engineering
Faculty of Engineering

Tel Aviv University

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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:
 

  • Blind Signal Processing over Finite Fields

  • Estimation of a Joint Probability Mass Function (PMF) Tensor from partial observations

  • Blind Source Separation (BSS) and Independent Component Analysis (ICA)

  • Hessians of the log characteristic function ("Charrelation Matrices") as an alternative to classical High-Order Statistics

  • Passive time-delay estimation for multiple signals with multiple sensors

  • Passive time-delay estimation in the presence of multipath

  • Spectral estimation from partial data

  • Sparsity-based signal processing and system identification

  • Estimation in impulsive noise

  • Extended Least Squares (XLS) estimation

  • Non-asymptotic performance analysis

 

Linear & Multilinear-Algebraic Tools in Signal Processing:
 

  • joint Canonic Polyadic Decomposition (CPD)

  • Using tensors in non-asymptotic performance analysis

  • Total Least Squares (TLS) and Errors-In-Variables (EIV) modeling

  • Structured Total Least Squares (STLS) and related algorithms

  • Algorithms for approximate joint diagonalization

  • Optimal weighting in approximate joint diagonalization

Teaching

Courses I Teach / Taught:

  • 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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