Simon Haykin

According to our database, Simon Haykin authored at least 168 papers between 1974 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2022

Coordinated Cognitive Risk Control for Bridging Vehicular Radar and Communication Systems.

Shuo Feng, Simon Haykin

IEEE Trans. Intell. Transp. Syst., 2022

2019

Cognitive Risk Control for Anti-Jamming V2V Communications in Autonomous Vehicle Networks.

Shuo Feng, Simon Haykin

IEEE Trans. Veh. Technol., 2019

Artificial Intelligence Communicates With Cognitive Dynamic System for Cybersecurity.

Simon Haykin

IEEE Trans. Cogn. Commun. Netw., 2019

Cognitive Dynamic System for Future RACE Vehicles in Smart Cities: A Risk Control Perspective.

Shuo Feng, Simon Haykin

IEEE Internet Things Mag., 2019

Cognitive Risk Control for Mitigating Cyber-Attack in Smart Grid.

Mohammad Irshaad Oozeer, Simon Haykin

IEEE Access, 2019

Cognitive Dynamic System for Control and Cyber-Attack Detection in Smart Grid.

Mohammad Irshaad Oozeer, Simon Haykin

IEEE Access, 2019

Anti-Jamming V2V Communication in an Integrated UAV-CAV Network with Hybrid Attackers.

Shuo Feng, Simon Haykin

Proceedings of the 2019 IEEE International Conference on Communications, 2019

V2V Communication-Assisted Transmit-Waveform Selection for Cognitive Vehicular Radars.

Shuo Feng, Simon Haykin

Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, 2019

2018

Cognitive Risk Control for Transmit-Waveform Selection in Vehicular Radar Systems.

Shuo Feng, Simon Haykin

IEEE Trans. Veh. Technol., 2018

2017

The Cognitive Dynamic System for Risk Control [Point of View].

Simon Haykin

Proc. IEEE, 2017

Observability of stochastic complex networks under the supervision of cognitive dynamic systems.

Mehdi Fatemi, Peyman Setoodeh, Simon Haykin

J. Complex Networks, 2017

Smart Home: Cognitive Interactive People-Centric Internet of Things.

Shuo Feng, Peyman Setoodeh, Simon Haykin

IEEE Commun. Mag., 2017

Cognitive Risk Control for Physical Systems.

Simon Haykin, Joaquín M. Fuster, David Findlay, Shuo Feng

IEEE Access, 2017

2016

Big Data: Theoretical Aspects [Scanning the Issue].

Simon Haykin, Stephen J. Wright, Yoshua Bengio

Proc. IEEE, 2016

Big Data: Practical Applications [Scanning the Issue].

Simon Haykin, Volker Tresp, Jón Atli Benediktsson

Proc. IEEE, 2016

Cognitive Dynamic System as the Brain of Complex Networks.

Simon Haykin, Peyman Setoodeh, Shuo Feng, David Findlay

IEEE J. Sel. Areas Commun., 2016

Cognitive Indoor Positioning and Tracking using Multipath Channel Information.

Erik Leitinger, Paul Meissner, Simon Haykin, Klaus Witrisal

CoRR, 2016

2015

Cognitive Radio Networks: The Spectrum Supply Chain Paradigm.

Simon Haykin, Peyman Setoodeh

IEEE Trans. Cogn. Commun. Netw., 2015

2014

Self-Organization and Compositionality in Cognitive Brains [Further Thoughts].

Jun Tani, Karl J. Friston, Simon Haykin

Proc. IEEE, 2014

On Cognitive Dynamic Systems: Cognitive Neuroscience and Engineering Learning From Each Other.

Simon Haykin, Joaquín M. Fuster

Proc. IEEE, 2014

Cognitive Dynamic Systems [Scanning the Issue].

Simon Haykin

Proc. IEEE, 2014

Improved Sparse Coding Under the Influence of Perceptual Attention.

Ashkan Amiri, Simon Haykin

Neural Comput., 2014

Improving Observability of Stochastic Complex Networks under the Supervision of Cognitive Dynamic Systems.

Mehdi Fatemi, Peyman Setoodeh, Simon Haykin

CoRR, 2014

Cognitive Control: Theory and Application.

Mehdi Fatemi, Simon Haykin

IEEE Access, 2014

Cognitive control in cognitive dynamic systems: A new way of thinking inspired by the brain.

Simon Haykin, Ashkan Amiri, Mehdi Fatemi

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2012

Brain-Inspired Dynamic Spectrum Management for Cognitive Radio Ad Hoc Networks.

Farhad Khozeimeh, Simon Haykin

IEEE Trans. Wirel. Commun., 2012

Cognitive Radar: Step Toward Bridging the Gap Between Neuroscience and Engineering.

Simon Haykin, Yanbo Xue, Peyman Setoodeh

Proc. IEEE, 2012

Cognitive Control.

Simon Haykin, Mehdi Fatemi, Peyman Setoodeh, Yanbo Xue

Proc. IEEE, 2012

Cognitive Dynamic Systems: Radar, Control, and Radio [Point of View].

Simon Haykin

Proc. IEEE, 2012

Dynamic spectrum supply chain model for cognitive radio networks.

Peyman Setoodeh, Simon Haykin, Keyvan R. Moghadam

Proceedings of the 2012 IEEE International Symposium on a World of Wireless, 2012

Double-layer dynamics of cognitive radio networks.

Peyman Setoodeh, Simon Haykin, Keyvan R. Moghadam

Proceedings of the 2012 IEEE International Symposium on a World of Wireless, 2012

2011

Cognitive Informatics and Cognitive Computing in Year 10 and Beyond.

Yingxu Wang, Robert C. Berwick, Simon Haykin, Witold Pedrycz, Witold Kinsner, George Baciu, Du Zhang, Virendrakumar C. Bhavsar

Int. J. Cogn. Informatics Nat. Intell., 2011

Cognitive Dynamic Systems.

Simon Haykin

Int. J. Cogn. Informatics Nat. Intell., 2011

Control theoretic approach to tracking radar: First step towards cognition.

Simon Haykin, Amin Zia, Yanbo Xue, Ienkaran Arasaratnam

Digit. Signal Process., 2011

Cognitive Computation Special Issue on Cognitive Behavioural Systems.

Anna Esposito, Alessandro Vinciarelli, Simon Haykin, Amir Hussain, Marcos Faúndez-Zanuy

Cogn. Comput., 2011

Cubature Kalman smoothers.

Ienkaran Arasaratnam, Simon Haykin

Autom., 2011

New vision for the world of wireless communications enabled with cognition.

Simon Haykin

Proceedings of the IEEE 22nd International Symposium on Personal, 2011

Cognitive Informatics in Year 10 and Beyond: summary of the plenary panel.

Yingxu Wang, Robert C. Berwick, Simon Haykin, Witold Pedrycz, George Baciu, Virendrakumar C. Bhavsar, Marina L. Gavrilova, Witold Kinsner, Du Zhang

Proceedings of the 10th IEEE International Conference on Cognitive Informatics and Cognitive Computing, 2011

Cognitive Dynamic Systems: An integrative field that will be a hallmark of the 21st century.

Simon Haykin

Proceedings of the 10th IEEE International Conference on Cognitive Informatics and Cognitive Computing, 2011

2010

Cubature kalman filtering for continuous-discrete systems: theory and simulations.

Ienkaran Arasaratnam, Simon Haykin, Thomas R. Hurd

IEEE Trans. Signal Process., 2010

A Zakai equation derivation of the extended Kalman filter.

Robert J. Elliott, Simon Haykin

Autom., 2010

Self-Organizing Dynamic Spectrum Management for Cognitive Radio Networks.

Farhad Khozeimeh, Simon Haykin

Proceedings of the 8th Annual Conference on Communication Networks and Services Research, 2010

2009

Dynamic spectrum management for cognitive radio: an overview.

Farhad Khozeimeh, Simon Haykin

Wirel. Commun. Mob. Comput., 2009

Cubature Kalman Filters.

Ienkaran Arasaratnam, Simon Haykin

IEEE Trans. Autom. Control., 2009

Robust Transmit Power Control for Cognitive Radio.

Peyman Setoodeh, Simon Haykin

Proc. IEEE, 2009

Spectrum Sensing for Cognitive Radio.

Simon Haykin, David J. Thomson, Jeffrey H. Reed

Proc. IEEE, 2009

2008

Square-Root Quadrature Kalman Filtering.

Ienkaran Arasaratnam, Simon Haykin

IEEE Trans. Signal Process., 2008

Nonlinear Bayesian Filters for Training Recurrent Neural Networks.

Ienkaran Arasaratnam, Simon Haykin

Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

Optimal waveform design for cognitive radar.

Simon Haykin, Yanbo Xue, Timothy N. Davidson

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007

Stochastic Differential Equation Theory Applied to Wireless Channels.

Tao Feng, Timothy R. Field, Simon Haykin

IEEE Trans. Commun., 2007

Syntactic Modeling and Signal Processing of Multifunction Radars: A Stochastic Context-Free Grammar Approach.

Nikita Visnevski, Vikram Krishnamurthy, Alex Wang, Simon Haykin

Proc. IEEE, 2007

Discrete-Time Nonlinear Filtering Algorithms Using Gauss-Hermite Quadrature.

Ienkaran Arasaratnam, Simon Haykin, Robert J. Elliott

Proc. IEEE, 2007

Decoupled echo state networks with lateral inhibition.

Yanbo Xue, Le Yang, Simon Haykin

Neural Networks, 2007

2006

Improved bayesian MIMO channel tracking for wireless communications: incorporating a dynamical model.

Kris Huber, Simon Haykin

IEEE Trans. Wirel. Commun., 2006

Cognitive radar: a way of the future.

Simon Haykin

IEEE Signal Process. Mag., 2006

A new nonlinear filter.

Robert J. Elliott, Simon Haykin

Commun. Inf. Syst., 2006

2005

Kalman filter-trained recurrent neural equalizers for time-varying channels.

Jongsoo Choi, Antonio Cezar de Castro Lima, Simon Haykin

IEEE Trans. Commun., 2005

The Cocktail Party Problem.

Simon Haykin, Zhe Chen

Neural Comput., 2005

A Novel Model-Based Hearing Compensation Design Using a Gradient-Free Optimization Method.

Zhe Chen, Suzanna Becker, Jeff Bondy, Ian C. Bruce, Simon Haykin

Neural Comput., 2005

Cognitive radio: brain-empowered wireless communications.

Simon Haykin

IEEE J. Sel. Areas Commun., 2005

Hidden Markov models for radar pulse train analysis in electronic warfare.

Nikita Visnevski, Simon Haykin, Vikram Krishnamurthy, Fred A. Dilkes, Pierre Lavoie

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Modeling, identification, and control of large-scale dynamical systems.

Simon Haykin, Alfred O. Hero III, Eric Moulines

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Stochastic correlative learning algorithms.

Simon Haykin, Zhe Chen, Suzanna Becker

IEEE Trans. Signal Process., 2004

Development of a flexible, realistic hearing in noise test environment (R-HINT-E).

Laurel J. Trainor, Ranil Sonnadara, Karl Wiklund, Jeff Bondy, Shilpy Gupta, Suzanna Becker, Ian C. Bruce, Simon Haykin

Signal Process., 2004

A novel signal-processing strategy for hearing-aid design: neurocompensation.

Jeff Bondy, Suzanna Becker, Ian C. Bruce, Laurel J. Trainor, Simon Haykin

Signal Process., 2004

Special Issue on Sequential State Estimation.

Simon Haykin, N. deFreitas

Proc. IEEE, 2004

Bayesian sequential state estimation for MIMO wireless communications.

Simon Haykin, Kris Huber, Zhe Chen

Proc. IEEE, 2004

Turbo-MIMO for wireless communications.

Simon Haykin, Mathini Sellathurai, Yvo L. C. de Jong, Tricia J. Willink

IEEE Commun. Mag., 2004

Signal Processing in a Nonlinear, NonGaussian, and Nonstationary World.

Simon Haykin

Proceedings of the Nonlinear Speech Modeling and Applications, 2004

R-HINT-E: a realistic hearing in noise test environment.

Karl Wiklund, Ranil Sonnadara, Laurel J. Trainor, Simon Haykin

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Theory of Monte Carlo sampling-based Alopex algorithms for neural networks.

Zhe Chen, Simon Haykin, Suzanna Becker

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003

T-BLAST for wireless communications: first experimental results.

Mathini Sellathurai, Simon Haykin

IEEE Trans. Veh. Technol., 2003

Turbo-BLAST: performance evaluation in correlated Rayleigh-fading environment.

Mathini Sellathurai, Simon Haykin

IEEE J. Sel. Areas Commun., 2003

Predicting Speech Intelligibility from a Population of Neurons.

Jeff Bondy, Ian C. Bruce, Suzanna Becker, Simon Haykin

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Application of particle filters to MIMO wireless communications.

Kris Huber, Simon Haykin

Proceedings of IEEE International Conference on Communications, 2003

Unscented Kalman filter-trained recurrent neural equalizer for time-varying channels.

Jongsoo Choi, Antonio Cezar de Castro Lima, Simon Haykin

Proceedings of IEEE International Conference on Communications, 2003

Multi-function radar emitter modelling: a stochastic discrete event system approach.

Nikita Visnevski, Vikram Krishnamurthy, Simon Haykin, Brian W. Currie, Fred A. Dilkes, Pierre Lavoie

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002

Turbo-BLAST for wireless communications: theory and experiments.

Mathini Sellathurai, Simon Haykin

IEEE Trans. Signal Process., 2002

Uncovering nonlinear dynamics-the case study of sea clutter.

Simon Haykin, Rembrandt Bakker, Brian W. Currie

Proc. IEEE, 2002

On Different Facets of Regularization Theory.

Zhe Chen, Simon Haykin

Neural Comput., 2002

Efficient sparse FIR filter design.

Davide Mattera, Francesco Palmieri, Simon Haykin

Proceedings of the IEEE International Conference on Acoustics, 2002

Convolutional Neural Networks for Radar Detection.

Gustavo López-Risueño, Jesús Grajal, Simon Haykin, Rosa Díaz-Oliver

Proceedings of the Artificial Neural Networks, 2002

2001

Neural and Adaptive Systems: Fundamentals Through Simulations.

Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin

IEEE Trans. Neural Networks, 2001

Feedforward Neural Network Methodology.

Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin

IEEE Trans. Neural Networks, 2001

Multi-Valued and Universal Binary Neurons: Theory, Learning, and Applications [Book Review].

Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin

IEEE Trans. Neural Networks, 2001

Supervised and Unsupervised Pattern Recognition: Feature Extraction and Computational Intelligence [Book Review].

Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin

IEEE Trans. Neural Networks, 2001

Signal processing: where physics and mathematics meet.

Simon Haykin

IEEE Signal Process. Mag., 2001

A new view on regularization theory.

Zhe Chen, Simon Haykin

Proceedings of the IEEE International Conference on Systems, 2001

A simplified Diagonal BLAST architecture with iterative parallel-interference cancellation receivers.

Mathini Sellathurai, Simon Haykin

Proceedings of the IEEE International Conference on Communications, 2001

Joint beamformer estimation and co-antenna interference cancellation for TURBO-BLAST.

Mathini Sellathurai, Simon Haykin

Proceedings of the IEEE International Conference on Acoustics, 2001

2000

Adaptive digital communication receivers.

Simon Haykin

IEEE Commun. Mag., 2000

TURBO-BLAST for high-speed wireless communications.

Mathini Sellathurai, Simon Haykin

Proceedings of the 2000 IEEE Wireless Communications and Networking Conference, 2000

1999

A dynamic regularized radial basis function network for nonlinear, nonstationary time series prediction.

Paul Yee, Simon Haykin

IEEE Trans. Signal Process., 1999

A dynamic channel assignment policy through Q-learning.

Junhong Nie, Simon Haykin

IEEE Trans. Neural Networks, 1999

Simple and robust methods for support vector expansions.

Davide Mattera, Francesco Palmieri, Simon Haykin

IEEE Trans. Neural Networks, 1999

Multiple window time-frequency distribution and coherence of EEG using Slepian sequences and Hermite functions.

Yan Xu, Simon Haykin, Ronald J. Racine

IEEE Trans. Biomed. Eng., 1999

Lessons on adaptive systems for signal processing, communications, and control.

Simon Haykin

IEEE Signal Process. Mag., 1999

An explicit algorithm for training support vector machines.

Davide Mattera, Francesco Palmieri, Simon Haykin

IEEE Signal Process. Lett., 1999

Neural networks for sensor fusion in remote sensing.

Hugh Pasika, Simon Haykin, Eugene E. Clothiaux, Ron Stewart

Proceedings of the International Joint Conference Neural Networks, 1999

The separability theory of hyperbolic tangent kernels and support vector machines for pattern classification.

Mathini Sellathurai, Simon Haykin

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Generalized support vector machines.

Davide Mattera, Francesco Palmieri, Simon Haykin

Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998

Image Compression Using KLT, Wavelets and an Adaptive Mixture of Principal Components Model.

Nanda Kambhatla, Simon Haykin, Robert D. Dony

J. VLSI Signal Process., 1998

Making sense of a complex world [chaotic events modeling].

Simon Haykin, José C. Príncipe

IEEE Signal Process. Mag., 1998

Signal detection in a nonstationary environment reformulated as an adaptive pattern classification problem.

Simon Haykin, David J. Thomson

Proc. IEEE, 1998

Special Issue On Intelligent Signal Processing.

Simon Haykin, Bart Kosko

Proc. IEEE, 1998

Adaptive nonlinear filtering with the support vector method.

Davide Mattera, Francesco Palmieri, Simon Haykin

Proceedings of the 9th European Signal Processing Conference, 1998

1997

Optimum nonlinear filtering.

Simon Haykin, Paul Yee, Eric Derbez

IEEE Trans. Signal Process., 1997

Adaptive tracking of linear time-variant systems by extended RLS algorithms.

Simon Haykin, Ali H. Sayed, James R. Zeidler, Paul Yee, Paul C. Wei

IEEE Trans. Signal Process., 1997

Modular learning strategy for signal detection in a nonstationary environment.

Simon Haykin, Tarun Kumar Bhattacharya

IEEE Trans. Signal Process., 1997

Guest Editors' Introduction: Neural Networks For Signal Processing.

Anthony G. Constantinides, Simon Haykin, Yu Hen Hu, Jenq-Neng Hwang, Shigeru Katagiri, Sun-Yuan Kung, Tomaso A. Poggio

IEEE Trans. Signal Process., 1997

1996

Neural networks expand SP's horizons.

Simon Haykin

IEEE Signal Process. Mag., 1996

Monitoring neuronal oscillations and signal transmission between cortical regions using time-frequency analysis of electroencephalographic activity.

Simon Haykin, Ronald J. Racine, Yan Xu, C. Andrew Chapman

Proc. IEEE, 1996

A modular neural network for enhancement of cross-polar radar targets.

Andrew M. Ukrainec, Simon Haykin

Neural Networks, 1996

1995

The chirplet transform: physical considerations.

Steve Mann, Simon Haykin

IEEE Trans. Signal Process., 1995

Nonlinear adaptive prediction of nonstationary signals.

Simon Haykin, Liang Li

IEEE Trans. Signal Process., 1995

Optimally adaptive transform coding.

Robert D. Dony, Simon Haykin

IEEE Trans. Image Process., 1995

Detection of signals in chaos.

Simon Haykin, Xiao Bo Li

Proc. IEEE, 1995

Neural network approaches to image compression.

Robert D. Dony, Simon Haykin

Proc. IEEE, 1995

A dynamic regularized Gaussian radial basis function network for nonlinear, nonstationary time series prediction.

Paul Yee, Simon Haykin

Proceedings of the 1995 International Conference on Acoustics, 1995

A new pseudo-noise generator for spread spectrum communications.

Bob X. Li, Simon Haykin

Proceedings of the 1995 International Conference on Acoustics, 1995

1994

Detection and estimation using an adaptive rational function filter.

Henry Leung, Simon Haykin

IEEE Trans. Signal Process., 1994

Modified Kalman filtering.

Simon Haykin, Liang Li

IEEE Trans. Signal Process., 1994

Self-Organizing Segmentor and Feature Extractor.

Robert D. Dony, Simon Haykin

Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

1993

AR-based growler detection in sea clutter.

Tim J. Nohara, Simon Haykin

IEEE Trans. Signal Process., 1993

Parallel Implementation of the Extended Square-Root Covariance Filter for Tracking Applications.

Edward K. B. Lee, Simon Haykin

IEEE Trans. Parallel Distributed Syst., 1993

Rational Function Neural Network.

Henry Leung, Simon Haykin

Neural Comput., 1993

A cascaded recurrent neural network for real-time nonlinear adaptive filtering.

Liang Li, Simon Haykin

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

Pattern classification as an ill-posed, inverse problem: a regularization approach.

Paul Yee, Simon Haykin

Proceedings of the IEEE International Conference on Acoustics, 1993

Chaotic detection of small target in sea clutter.

Bob X. Li, Simon Haykin

Proceedings of the IEEE International Conference on Acoustics, 1993

Optimally integrated adaptive learning.

Robert D. Dony, Simon Haykin

Proceedings of the IEEE International Conference on Acoustics, 1993

1992

Time-frequency perspectives: the 'chirplet' transform.

Steve Mann, Simon Haykin

Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

Modified Kalman filtering with an optimal target function.

Liang Li, Simon Haykin

Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

Model reconstruction of chaotic dynamics: first preliminary radar results.

Simon Haykin, Henry Leung

Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

Bearing estimation in a colored noise background using the method of multiple windows.

A. Drosopoulos, Simon Haykin

Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991

The complex backpropagation algorithm.

Henry Leung, Simon Haykin

IEEE Trans. Signal Process., 1991

Error bound method and its application to the LMS algorithm.

Henry Leung, Simon Haykin

IEEE Trans. Signal Process., 1991

Classification of radar clutter using neural networks.

Simon Haykin, Cong Deng

IEEE Trans. Neural Networks, 1991

A coherent dual-polarized radar for studying the ocean environment.

Simon Haykin, Carl Krasnor, Tim J. Nohara, Brian W. Currie, David Hamburger

IEEE Trans. Geosci. Remote. Sens., 1991

Classification of radar clutter in an air traffic control environment.

Simon Haykin, Wolfgang Stehwien, Cong Deng, Peter Weber, Richard Mann

Proc. IEEE, 1991

Target detection in a nonstationary noise field: a comparison-based approach.

Q. T. Zhang, Simon Haykin, Kon Max Wong

Proceedings of the 1991 International Conference on Acoustics, 1991

1990

Radial basis function classification of impulse radar waveforms.

Gary Vrckovnik, Charles R. Carter, Simon S. Haykin

Proceedings of the IJCNN 1990, 1990

A multi-layer neural network classifier for radar clutter.

Cong Deng, Simon Haykin

Proceedings of the IJCNN 1990, 1990

Systolic-based computing machinery for radar signal processing studies.

Simon Haykin, Peter Weber, Bob Cho, Terry Greenlay, Jim Orlando, Cong Deng, Richard Mann

Proceedings of the Application Specific Array Processors, 1990

1989

Stability of recursive QRD-LS algorithms using finite-precision systolic array implementation.

Henry Leung, Simon Haykin

IEEE Trans. Acoust. Speech Signal Process., 1989

Performance limits of the innovations-based detection algorithm.

Qitu Zhang, Simon Haykin, Patrick C. Yip

IEEE Trans. Inf. Theory, 1989

1988

Application of the Weiss-Weinstein bound to a two-dimensional antenna array.

Tim J. Nohara, Simon Haykin

IEEE Trans. Acoust. Speech Signal Process., 1988

Parallel implementation of the tracking Kalman filter.

Edward K. B. Lee, Simon Haykin

Proceedings of the IEEE International Conference on Acoustics, 1988

1986

Nonredundant arrays.

E. Vertatschitsch, Simon Haykin

Proc. IEEE, 1986

1985

Simultaneous resolution of unambiguous range and doppler in a pulse-doppler radar using multiple PRFs.

Peter Weber, Simon Haykin, Robert Gray

Proc. IEEE, 1985

Surface-based radar imaging of sea ice.

Simon Haykin, Brian W. Currie, Edward O. Lewis, Kent A. Nickerson

Proc. IEEE, 1985

1983

Tracking characteristics of the Kalman filter in a nonstationary environment for adaptive filter applications.

Qitu Zhang, Simon Haykin

Proceedings of the IEEE International Conference on Acoustics, 1983

Evaluation of angle of arrival estimators using real multipath data.

Simon Haykin, Jelisaveta Kesler, John Litva

Proceedings of the IEEE International Conference on Acoustics, 1983

1982

An innovations approach to discrete-time detection theory.

Peter A. S. Metford, Simon S. Haykin, Desmond P. Taylor

IEEE Trans. Inf. Theory, 1982

Non-stationary learning characteristics of adaptive lattice filters.

Carey Gibson, Simon Haykin

Proceedings of the IEEE International Conference on Acoustics, 1982

1981

Maximum-entropy field-mapping in the presence of correlated multipath.

Stanislav B. Kesler, Simon Haykin, Robert S. Walker

Proceedings of the IEEE International Conference on Acoustics, 1981

An adaptive interference canceller using Kalman filtering.

Jelisaveta Kesler, Simon Haykin

Proceedings of the IEEE International Conference on Acoustics, 1981

Performance studies of adaptive lattice prediction-Error filters for target detection in a radar environment using real data.

Carey Gibson, Simon Haykin

Proceedings of the IEEE International Conference on Acoustics, 1981

1980

An experimental study of the MEM applied to array antennas in the presence of multipath.

James P. Reilly, Simon Haykin

Proceedings of the IEEE International Conference on Acoustics, 1980

A comparison of algorithms for the calculation of adaptive lattice filters.

Carey Gibson, Simon Haykin

Proceedings of the IEEE International Conference on Acoustics, 1980

1979

Maximum entropy (adaptive) filtering applied to radar clutter.

Carey Gibson, Simon Haykin, Stanislav B. Kesler

Proceedings of the IEEE International Conference on Acoustics, 1979

1978

The maximum entropy method applied to the spectral analysis of radar clutter (Corresp.).

Stanislav B. Kesler, Simon Haykin

IEEE Trans. Inf. Theory, 1978

A programmable sonar signal processor.

Charles R. Carter, Simon S. Haykin, Hing C. Chan

Proceedings of the IEEE International Conference on Acoustics, 1978

1977

A New System Synchronization Technique for the Switching Satellite.

Charles R. Carter, Rudi de Buda, Simon S. Haykin

IEEE Trans. Commun., 1977

Performance analysis of a radar signal processing system with continuous electronic array scanning.

Simon Haykin

Inf. Sci., 1977

1976

A Simulation Study of Digital Modulation Methods for Wide-Band Satellite Communications.

Desmond P. Taylor, Hing C. Chan, Simon S. Haykin

IEEE Trans. Commun., 1976

Adaptive digital filtering for coherent MTI radar.

Simon Haykin, Chris Hawkes

Inf. Sci., 1976

1975

Modeling of clutter for coherent pulsed radar (Corresp.).

Chris Hawkes, Simon Haykin

IEEE Trans. Inf. Theory, 1975

1974

A New Synchronization Technique for Switched TDMA Satellite Systems.

Charles R. Carter, Simon S. Haykin

IEEE Trans. Commun., 1974