World's Best Scientists 2026 revealed!

Research.com Recognitions

  • 2020 - IEEE Fellow For contributions to blind source separation and to non-stationary signal and array processing

Overview

Adel Belouchrani is affiliated with the Polytechnic School of Algiers in Algeria. Their research spans multiple fields within computer science and engineering, with a particular focus on signal processing and artificial intelligence.

The scientist's main fields of study include:

  • Computer Science
  • Engineering

More specific subfields of research encompass:

  • Signal Processing
  • Artificial Intelligence
  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Computer Networks and Communications

Adel Belouchrani's documented main research topics cover:

  • Blind Source Separation Techniques
  • Speech and Audio Processing
  • Machine Fault Diagnosis Techniques
  • Advanced Adaptive Filtering Techniques
  • Wireless Signal Modulation Classification
  • Space Exploration and Regulation
  • Satellite Communication Systems

Their scholarly output includes work published in notable venues such as:

  • Circuits Systems and Signal Processing
  • Image and Vision Computing
  • Digital Signal Processing
  • IEEE Transactions on Signal Processing
  • Periodica Polytechnica Electrical Engineering and Computer Science

Selected representative publications include:

  • "Time-frequency readability enhancement of compact support kernel-based distributions using image post-processing: Application to instantaneous frequency estimation of M-ary frequency shift keying signals," 2022, Digital Signal Processing
  • "Advanced deep learning and large language models: Comprehensive insights for cancer detection," 2025, Image and Vision Computing
  • "Multi-objective Approach for IIR Filter Design and Bit-Width Optimization," 2023, Circuits Systems and Signal Processing
  • "Extended Joint EVD Algorithm for Widely Linear ARMA Source Separation," 2023, IEEE Transactions on Signal Processing
  • "On the Use of High-resolution Time-frequency Distribution Based on a Polynomial Compact Support Kernel for Fault Detection in a Two-level Inverter," 2020, Periodica Polytechnica Electrical Engineering and Computer Science

Frequent collaborative partners in research include:

  • Mansour Abed
  • Ammar Mesloub
  • Karim Abed-Meraim
  • Mohammed Zelmat
  • El-Sedik Lamini

Throughout their career, Adel Belouchrani has concentrated on methods and algorithms related to blind source separation and non-stationary signal and array processing. This focus was formally recognized in 2020 with the award of IEEE Fellow, granted for contributions to these areas.

Best Publications

  • A blind source separation technique using second-order statistics

    A. Belouchrani;K. Abed-Meraim;J.-F. Cardoso;E. Moulines

  • Blind source separation based on time-frequency signal representations

    A. Belouchrani;M.G. Amin

  • Fault Diagnosis in Industrial Induction Machines Through Discrete Wavelet Transform

    A. Bouzida;O. Touhami;R. Ibtiouen;A. Belouchrani

  • QRS detection based on wavelet coefficients

    Zahia Zidelmal;Ahmed Amirou;Mourad Adnane;Adel Belouchrani

  • Time-frequency MUSIC

    A. Belouchrani;M.G. Amin

  • Underdetermined Blind Separation of Nondisjoint Sources in the Time-Frequency Domain

    A. Aissa-El-Bey;Nguyen Linh-Trung;K. Abed-Meraim;A. Belouchrani

  • Robust whitening procedure in blind source separation context

    A. Belouchrani;A. Cichocki

  • Separating more sources than sensors using time-frequency distributions

    Nguyen Linh-Trung;Adel Belouchrani;Karim Abed-Meraim;Boualem Boashash

  • Second Order Nonstationary Source Separation

    Seungjin Choi;Andrzej Cichocki;Adel Beloucharni

  • A contribution in the actualization of wind map of Algeria

    Farouk Chellali;Adballah Khellaf;Adel Belouchrani;Abdelmadjid Recioui

  • Direction finding in correlated noise fields based on joint block-diagonalization of spatio-temporal correlation matrices

    A. Belouchrani;M.G. Amin;K. Abed-Meraim

  • Joint anti-diagonalization for blind source separation

    A. Belouchrani;K. Abed-Meraim;M.G. Amin;A.M. Zoubir

  • Time-Frequency Distributions Based on Compact Support Kernels: Properties and Performance Evaluation

    M. Abed;A. Belouchrani;M. Cheriet;B. Boashash

  • Separating more sources than sensors using time-frequency distributions

    Linh-Trung Nguyen;A. Belouchrani;K. Abed-Meraim;B. Boashash

  • Source Separation and Localization Using Time-Frequency Distributions: An Overview

    Adel Belouchrani;Moeness G. Amin;Nadege Thirion-Moreau;Yimin D. Zhang

  • A new composite criterion for adaptive and iterative blind source separation

    J.-F. Cardoso;A. Belouchrani;B. Laheld

  • Second-order near-field source localization: algorithm and performance analysis

    K. Abed-Meraim;Yingbo Hua;A. Belouchrani

  • Jacobi-like algorithm for blind signal separation of convolutive mixtures

    H. Bousbia-Salah;A. Belouchrani;K. Abed-Meraim

  • Algorithms for joint block diagonalization

    K. Abed-Meraim;A. Belouchrani

  • Time-frequency MUSIC: an array signal processing method based on time-frequency signal representations

    Moeness G. Amin;Adel Belouchrani

Frequent Co-Authors

Karim Abed-Meraim
Karim Abed-Meraim University of Orléans
Moeness G. Amin
Moeness G. Amin Villanova University
Mohamed Benbouzid
Mohamed Benbouzid University of Western Brittany
Yingbo Hua
Yingbo Hua University of California, Riverside
Yimin Zhang
Yimin Zhang Temple University
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Abdelhak M. Zoubir
Abdelhak M. Zoubir Technical University of Darmstadt

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