World's Best Scientists 2026 revealed!
Alan V. Oppenheim

Alan V. Oppenheim

D-Index & Metrics

Computer Science

D-Index
65
Citations
58459
World Ranking
2380
National Ranking
1185

Electronics and Electrical Engineering

D-Index
64
Citations
58424
World Ranking
1250
National Ranking
512

Research.com Recognitions

  • 2007 - Jack S. Kilby Signal Processing Medal For visionary leadership and exceptional contributions to the field of digital signal processing.
  • 1987 - Member of the National Academy of Engineering For innovative research, writing of pioneering textbooks, and inspired teaching in the field of digital signal processing.
  • 1977 - IEEE Fellow For contributions to digital signal processing and speech communications.
  • 1972 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Alan V. Oppenheim is affiliated with MIT in the United States and has a distinguished record of research and publications primarily in the fields of Computer Science and Engineering. Their work spans several subfields including Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering, Numerical Analysis, and Media Technology.

The key topics that characterize their research contributions include:

  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Machine Learning and Algorithms
  • Mathematical Approximation and Integration
  • Advanced Electrical Measurement Techniques
  • Advancements in PLL and VCO Technologies
  • Analog and Mixed-Signal Circuit Design

Oppenheim has published extensively in prominent venues. Frequent publication venues include:

  • IEEE Signal Processing Magazine
  • arXiv (Cornell University)
  • 2021 55th Asilomar Conference on Signals, Systems, and Computers
  • Foundations and Trends® in Signal Processing

Recent academic papers authored by Oppenheim showcase varied interests within signal processing and related fields:

  • "Reflections After 50-Plus Years in the Classroom [Reflections]", 2021, IEEE Signal Processing Magazine
  • "Innovation Starts With Education [From the Guest Editors]", 2021, IEEE Signal Processing Magazine
  • "POVM Design for Quantum State Discrimination", 2021, 2021 55th Asilomar Conference on Signals, Systems, and Computers
  • "The Magical Art of Technical Presentations [Perspectives]", 2023, IEEE Signal Processing Magazine
  • "Informationally Overcomplete POVMs for Quantum State Estimation and Binary Detection", 2020, arXiv (Cornell University)

The collaborative nature of Oppenheim's work is evident through frequent co-authors who contribute across multiple papers. These include Catherine Medlock, A.G. Constantinides, Petros T. Boufounos, Mónica F. Bugallo, and Danilo P. Mandic.

Oppenheim's research achievements have been recognized with several notable awards. These include the Jack S. Kilby Signal Processing Medal awarded in 2007 for leadership and contributions to digital signal processing, membership in the National Academy of Engineering since 1987 for innovative research and teaching in digital signal processing, the IEEE Fellow designation since 1977 for contributions to digital signal processing and speech communications, and a fellowship from the John Simon Guggenheim Memorial Foundation awarded in 1972.

Best Publications

  • Discrete-Time Signal Processing

    Alan V. Oppenheim;Ronald W. Schafer

  • The importance of phase in signals

    A.V. Oppenheim;J.S. Lim

  • Circuit implementation of synchronized chaos with applications to communications.

    Kevin M. Cuomo;Alan V. Oppenheim

  • Enhancement and bandwidth compression of noisy speech

    J.S. Lim;A.V. Oppenheim

  • Synchronization of Lorenz-based chaotic circuits with applications to communications

    K.M. Cuomo;A.V. Oppenheim;S.H. Strogatz

  • Discrete-time signal processing (2nd ed.)

    Alan V. Oppenheim;Ronald W. Schafer;John R. Buck

  • Nonlinear filtering of multiplied and convolved signals

    A. Oppenheim;R. Schafer;T. Stockham

  • All-pole modeling of degraded speech

    Jae Lim;A. Oppenheim

  • Digital reconstruction of multidimensional signals from their projections

    R.M. Mersereau;A.V. Oppenheim

  • Estimation of fractal signals from noisy measurements using wavelets

    G.W. Wornell;A.V. Oppenheim

  • Signal reconstruction from phase or magnitude

    M. Hayes;Jae Lim;A. Oppenheim

  • From frequency to quefrency: a history of the cepstrum

    A.V. Oppenheim;R.W. Schafer

  • Multi-channel signal separation by decorrelation

    E. Weinstein;M. Feder;A.V. Oppenheim

  • Effects of finite register length in digital filtering and the fast Fourier transform

    A.V. Oppenheim;C.J. Weinstein

  • Signal processing with fractals: a wavelet-based approach

    Gregory Wornell;Alan V. Oppenheim

  • Advanced Topics in Signal Processing

    Jae S. Lim;Alan V. Oppenheim

  • Sequential signal encoding from noisy measurements using quantizers with dynamic bias control

    H.C. Papadopoulos;G.W. Wornell;A.V. Oppenheim

  • Signal processing in the context of chaotic signals

    A.V. Oppenheim;G.W. Wornell;S.H. Isabelle;K.M. Cuomo

  • Wavelet-based representations for a class of self-similar signals with application to fractal modulation

    G.W. Wornell;A.V. Oppenheim

  • Homomorphic analysis of speech

    A. Oppenheim;R. Schafer

  • Analysis of linear digital networks

    R.E. Crochiere;A.V. Oppenheim

Frequent Co-Authors

Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Meir Feder
Meir Feder Tel Aviv University
Monson H. Hayes
Monson H. Hayes George Mason University
Andrew C. Singer
Andrew C. Singer University of Illinois at Urbana-Champaign
Petros T. Boufounos
Petros T. Boufounos Mitsubishi Electric (United States)
Ronald W. Schafer
Ronald W. Schafer Georgia Institute of Technology
Avideh Zakhor
Avideh Zakhor University of California, Berkeley

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