World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
53
Citations
11786
World Ranking
2387
National Ranking
925

Research.com Recognitions

  • 1985 - IEEE Fellow For contributions to digital filter design and digital signal processing

Overview

James H. McClellan is affiliated with the Georgia Institute of Technology in the United States. Their research spans several fields, primarily centered around computer science, earth and planetary sciences, and engineering. The scientist's work covers various subfields such as signal processing, geophysics, computer vision and pattern recognition, artificial intelligence, and computational mechanics.

The main topics explored in their research include direction-of-arrival estimation techniques, advanced data compression techniques, image and signal denoising methods, blind source separation techniques, seismology and earthquake studies, seismic imaging and inversion techniques, and earthquake and tectonic studies.

Recent publications by James H. McClellan are diverse and cover multiple research areas, including seismic data, electromagnetic induction data, and heat pipe oscillations. Notable papers include:

  • "A Multitone Model-Based Seismic Data Compression," 2021, IEEE Transactions on Systems Man and Cybernetics Systems
  • "A multi-channel approach for automatic microseismic event association using RANSAC-based Arrival Time Event Clustering (RATEC)," 2021, Earthquake Research Advances
  • "Performance Bounds for Target Parameter Estimation From Frequency-Domain Electromagnetic Induction Data," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "Performance Analysis for Estimating a Target's Relaxation Frequencies From Frequency-Domain Electromagnetic Induction Data," 2021, IEEE Geoscience and Remote Sensing Letters
  • "Self-sustaining oscillations in a heat pipe using a binary liquid mixture," 2025, Physics of Fluids

Frequent co-authors contributing to these works include Andrew J. Kerr, Waymond R. Scott, Bo Liu, Mohamed Mohandes, and Hilal H. Nuha.

James H. McClellan's papers have been published across a diverse set of venues, including:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • Earthquake Research Advances
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • Physics of Fluids

Their contributions to the technical community were recognized with the IEEE Fellow award in 1985 for work in digital filter design and digital signal processing.

Best Publications

  • A computer program for designing optimum FIR linear phase digital filters

    J. McClellan;T. Parks;L. Rabiner

  • Chebyshev Approximation for Nonrecursive Digital Filters with Linear Phase

    Unknown

  • TOPS: new DOA estimator for wideband signals

    Yeo-Sun Yoon;L.M. Kaplan;J.H. McClellan

  • A Compressive Sensing Data Acquisition and Imaging Method for Stepped Frequency GPRs

    A.C. Gurbuz;J.H. McClellan;W.R. Scott

  • A unified approach to the design of optimum FIR linear-phase digital filters

    J. McClellan;T. Parks

  • Complex Chebyshev approximation for FIR filter design

    L.J. Karam;J.H. McClellan

  • The discrete rotational Fourier transform

    B. Santhanam;J.H. McClellan

  • Multidimensional spectral estimation

    J.H. McClellan

  • A compressive beamforming method

    A.C. Gurbuz;J.H. McClellan;V. Cevher

  • Estimating slowness dispersion from arrays of sonic logging waveforms

    S. W. Lang;A. L. Kurkjian;J. H. McClellan;C. F. Morris

  • Multistatic Ground-Penetrating Radar Experiments

    T. Counts;A.C. Gurbuz;W.R. Scott;J.H. McClellan

  • Signal Processing First

    James H. McClellan;Ronald W. Schafer;Mark A. Yoder

  • Reducible polynomials in more than one variable

    M.H. Hayes;J.H. McClellan

  • A program for the design of linear phase finite impulse response digital filters

    Unknown

  • Frequency estimation with maximum entropy spectral estimators

    S. Lang;J. McClellan

  • Compressive sensing for subsurface imaging using ground penetrating radar

    Ali C. Gurbuz;James H. McClellan;Waymond R. Scott

  • Convergence of iterative nonexpansive signal reconstruction algorithms

    V. Tom;T. Quatieri;M. Hayes;J. McClellan

  • Spectral estimation for sensor arrays

    S. Lang;J. McClellan

  • Dsp First: A Multimedia Approach

    James H. McClellan;Ronald W. Shafer;M. A. Yoder

  • Vehicle Speed Estimation Using Acoustic Wave Patterns

    V. Cevher;R. Chellappa;J.H. McClellan

  • Vector radix fast Fourier transform

    D. Harris;J. McClellan;D. Chan;H. Schuessler

  • Seismic data denoising through multiscale and sparsity-promoting dictionary learning

    Lingchen Zhu;Entao Liu;James H. McClellan

  • A personal history of the Parks-McClellan algorithm

    J.H. McClellan;T.W. Parks

Frequent Co-Authors

Brian L. Evans
Brian L. Evans The University of Texas at Austin
Oliver Brand
Oliver Brand Georgia Institute of Technology
Faramarz Fekri
Faramarz Fekri Georgia Institute of Technology

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