H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 31 Citations 4,532 267 World Ranking 5689 National Ranking 234

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Telecommunications
  • Algorithm

The scientist’s investigation covers issues in Algorithm, Electronic engineering, Speech recognition, Speech processing and Mathematical optimization. His studies deal with areas such as Node and Wireless sensor network as well as Algorithm. His studies in Electronic engineering integrate themes in fields like Relay and MIMO, Communication channel, Fading.

His study on Speech recognition is mostly dedicated to connecting different topics, such as Speech enhancement. His Speech processing research incorporates themes from Estimator, Reverberation and Microphone. His Mathematical optimization research is multidisciplinary, incorporating perspectives in Spatial correlation and Eigendecomposition of a matrix.

His most cited work include:

  • Parametric localization of distributed sources (297 citations)
  • Relay-Selection Improves the Security-Reliability Trade-Off in Cognitive Radio Systems (196 citations)
  • Performance of time-delay estimation in the presence of room reverberation (165 citations)

What are the main themes of his work throughout his whole career to date?

Algorithm, Electronic engineering, Speech recognition, Communication channel and MIMO are his primary areas of study. His research integrates issues of Subspace topology, Estimator and Control theory in his study of Algorithm. The study incorporates disciplines such as Minimum mean square error, Antenna array, Filter bank and Orthogonal frequency-division multiplexing in addition to Electronic engineering.

His Speech recognition research is multidisciplinary, incorporating elements of Artificial neural network, Speech enhancement and Reverberation. The study incorporates disciplines such as Wireless, Computer network and Robustness in addition to Communication channel. His MIMO research is multidisciplinary, incorporating perspectives in Relay, Optimization problem, Mathematical optimization and Transceiver.

He most often published in these fields:

  • Algorithm (38.84%)
  • Electronic engineering (22.02%)
  • Speech recognition (19.57%)

What were the highlights of his more recent work (between 2018-2021)?

  • Speech recognition (19.57%)
  • Algorithm (38.84%)
  • Speech enhancement (14.68%)

In recent papers he was focusing on the following fields of study:

Benoit Champagne spends much of his time researching Speech recognition, Algorithm, Speech enhancement, Optimization problem and Beamforming. His Linear prediction study in the realm of Speech recognition interacts with subjects such as Formant. His Algorithm research includes elements of Single antenna interference cancellation, Detector and Degrees of freedom.

His Speech enhancement study combines topics from a wide range of disciplines, such as Spectrogram, Artificial neural network, Intelligibility, Kalman filter and Noise measurement. His Beamforming research incorporates themes from MIMO and Channel state information. His research in MIMO intersects with topics in Electronic engineering, Overhead and Signal processing.

Between 2018 and 2021, his most popular works were:

  • Robust Joint Hybrid Transceiver Design for Millimeter Wave Full-Duplex MIMO Relay Systems (29 citations)
  • Secure Beamforming for Cognitive Satellite Terrestrial Networks With Unknown Eavesdroppers (16 citations)
  • A Fully Convolutional Neural Network for Complex Spectrogram Processing in Speech Enhancement (15 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Telecommunications
  • Artificial intelligence

His primary areas of study are Base station, Optimization problem, Algorithm, Telecommunications link and Beamforming. His Optimization problem study incorporates themes from Resource allocation and Transmitter power output. As part of his studies on Algorithm, Benoit Champagne often connects relevant subjects like MIMO.

His Telecommunications link research includes themes of Mathematical optimization, Communication channel and Precoding. His Beamforming study deals with Channel state information intersecting with Maximal-ratio combining and Physical layer. His research investigates the connection between Electronic engineering and topics such as Cognitive radio that intersect with issues in Relay.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Parametric localization of distributed sources

S. Valaee;B. Champagne;P. Kabal.
IEEE Transactions on Signal Processing (1995)

469 Citations

Performance of time-delay estimation in the presence of room reverberation

B. Champagne;S. Bedard;A. Stephenne.
IEEE Transactions on Speech and Audio Processing (1996)

260 Citations

The computer calculation of Lie point symmetries of large systems of differential equations

B. Champagne;W. Hereman;P. Winternitz.
Computer Physics Communications (1991)

241 Citations

Relay-Selection Improves the Security-Reliability Trade-Off in Cognitive Radio Systems

Yulong Zou;Benoit Champagne;Wei-Ping Zhu;Lajos Hanzo.
IEEE Transactions on Communications (2015)

237 Citations

Proteolytic Cleavage of ICAM-1 by Human Neutrophil Elastase

Benoit Champagne;Pierre Tremblay;André Cantin;Yves St. Pierre.
Journal of Immunology (1998)

212 Citations

Incorporating the human hearing properties in the signal subspace approach for speech enhancement

F. Jabloun;B. Champagne.
IEEE Transactions on Speech and Audio Processing (2003)

212 Citations

Recursive least squares constant modulus algorithm for blind adaptive array

Yuxin Chen;T. Le-Ngoc;B. Champagne;Changjiang Xu.
IEEE Transactions on Signal Processing (2004)

177 Citations

Adaptive eigendecomposition of data covariance matrices based on first-order perturbations

B. Champagne.
IEEE Transactions on Signal Processing (1994)

141 Citations

On the infinite‐dimensional symmetry group of the Davey–Stewartson equations

B. Champagne;P. Winternitz.
Journal of Mathematical Physics (1988)

125 Citations

Localization of wideband signals using least-squares and total least-squares approaches

S. Valaee;B. Champagne;P. Kabal.
IEEE Transactions on Signal Processing (1999)

125 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Benoit Champagne

Jacob Benesty

Jacob Benesty

Institut National de la Recherche Scientifique

Publications: 41

Lajos Hanzo

Lajos Hanzo

University of Southampton

Publications: 29

Pavel Winternitz

Pavel Winternitz

University of Montreal

Publications: 29

Wei-Ping Zhu

Wei-Ping Zhu

Concordia University

Publications: 28

Yulong Zou

Yulong Zou

Nanjing University of Posts and Telecommunications

Publications: 25

Haiquan Zhao

Haiquan Zhao

Southwest Jiaotong University

Publications: 25

Peter A. Clarkson

Peter A. Clarkson

University of Kent

Publications: 23

Ali H. Sayed

Ali H. Sayed

École Polytechnique Fédérale de Lausanne

Publications: 21

Karim Abed-Meraim

Karim Abed-Meraim

University of Orléans

Publications: 19

Gaofeng Pan

Gaofeng Pan

Beijing Institute of Technology

Publications: 18

Shahram Shahbazpanahi

Shahram Shahbazpanahi

University of Ontario Institute of Technology

Publications: 17

Wei Liu

Wei Liu

Shanghai Jiao Tong University

Publications: 16

Alex B. Gershman

Alex B. Gershman

TU Darmstadt

Publications: 15

Zhangdui Zhong

Zhangdui Zhong

Beijing Jiaotong University

Publications: 15

Sofiene Affes

Sofiene Affes

Institut National de la Recherche Scientifique

Publications: 14

R.C. de Lamare

R.C. de Lamare

Pontifical Catholic University of Rio de Janeiro

Publications: 13

Something went wrong. Please try again later.