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ORCIDSimon Haykin 0001
Simon S. Haykin
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- affiliation: McMaster University, Department of Electrical and Computer Engineering, Hamilton, Canada
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2020 – today
- 2022
[j110]Shuo Feng
, Simon Haykin:
Coordinated Cognitive Risk Control for Bridging Vehicular Radar and Communication Systems. IEEE Trans. Intell. Transp. Syst. 23(5): 4135-4150 (2022)
2010 – 2019
- 2019
- [j109]Mohammad Irshaad Oozeer, Simon Haykin:
Cognitive Dynamic System for Control and Cyber-Attack Detection in Smart Grid. IEEE Access 7: 78320-78335 (2019) - [j108]Mohammad Irshaad Oozeer, Simon Haykin:
Cognitive Risk Control for Mitigating Cyber-Attack in Smart Grid. IEEE Access 7: 125806-125826 (2019) - [j107]Shuo Feng, Simon Haykin:
Cognitive Dynamic System for Future RACE Vehicles in Smart Cities: A Risk Control Perspective. IEEE Internet Things Mag. 2(1): 14-20 (2019) - [j106]Simon Haykin:
Artificial Intelligence Communicates With Cognitive Dynamic System for Cybersecurity. IEEE Trans. Cogn. Commun. Netw. 5(3): 463-475 (2019) - [j105]Shuo Feng, Simon Haykin:
Cognitive Risk Control for Anti-Jamming V2V Communications in Autonomous Vehicle Networks. IEEE Trans. Veh. Technol. 68(10): 9920-9934 (2019) - [c57]Shuo Feng, Simon Haykin:
V2V Communication-Assisted Transmit-Waveform Selection for Cognitive Vehicular Radars. CCECE 2019: 1-6 - [c56]Shuo Feng, Simon Haykin:
Anti-Jamming V2V Communication in an Integrated UAV-CAV Network with Hybrid Attackers. ICC 2019: 1-6 - 2018
- [j104]Shuo Feng, Simon Haykin:
Cognitive Risk Control for Transmit-Waveform Selection in Vehicular Radar Systems. IEEE Trans. Veh. Technol. 67(10): 9542-9556 (2018) - 2017
- [j103]Simon Haykin, Joaquín M. Fuster, David Findlay, Shuo Feng:
Cognitive Risk Control for Physical Systems. IEEE Access 5: 14664-14679 (2017) - [j102]Shuo Feng, Peyman Setoodeh, Simon Haykin:
Smart Home: Cognitive Interactive People-Centric Internet of Things. IEEE Commun. Mag. 55(2): 34-39 (2017) - [j101]Mehdi Fatemi, Peyman Setoodeh, Simon Haykin:
Observability of stochastic complex networks under the supervision of cognitive dynamic systems. J. Complex Networks 5(3): 433-460 (2017) - [j100]Simon Haykin:
The Cognitive Dynamic System for Risk Control [Point of View]. Proc. IEEE 105(8): 1470-1473 (2017) - 2016
- [j99]Simon Haykin, Peyman Setoodeh, Shuo Feng, David Findlay:
Cognitive Dynamic System as the Brain of Complex Networks. IEEE J. Sel. Areas Commun. 34(10): 2791-2800 (2016) - [j98]Simon Haykin, Stephen J. Wright, Yoshua Bengio:
Big Data: Theoretical Aspects [Scanning the Issue]. Proc. IEEE 104(1): 8-10 (2016) - [j97]Simon Haykin, Volker Tresp, Jón Atli Benediktsson:
Big Data: Practical Applications [Scanning the Issue]. Proc. IEEE 104(11): 2082-2084 (2016) - [i2]Erik Leitinger, Paul Meissner, Simon Haykin, Klaus Witrisal:
Cognitive Indoor Positioning and Tracking using Multipath Channel Information. CoRR abs/1610.05882 (2016) - 2015
- [j96]Simon Haykin, Peyman Setoodeh:
Cognitive Radio Networks: The Spectrum Supply Chain Paradigm. IEEE Trans. Cogn. Commun. Netw. 1(1): 3-28 (2015) - 2014
- [j95]Mehdi Fatemi, Simon Haykin:
Cognitive Control: Theory and Application. IEEE Access 2: 698-710 (2014) - [j94]Ashkan Amiri, Simon Haykin:
Improved Sparse Coding Under the Influence of Perceptual Attention. Neural Comput. 26(2): 377-420 (2014) - [j93]Jun Tani, Karl J. Friston, Simon Haykin:
Self-Organization and Compositionality in Cognitive Brains [Further Thoughts]. Proc. IEEE 102(3): 606-607 (2014) - [j92]Simon Haykin, Joaquín M. Fuster:
On Cognitive Dynamic Systems: Cognitive Neuroscience and Engineering Learning From Each Other. Proc. IEEE 102(3): 608-628 (2014) - [j91]Simon Haykin:
Cognitive Dynamic Systems [Scanning the Issue]. Proc. IEEE 102(4): 414-416 (2014) - [c55]Simon Haykin, Ashkan Amiri, Mehdi Fatemi:
Cognitive control in cognitive dynamic systems: A new way of thinking inspired by the brain. ADPRL 2014: 1-7 - [i1]Mehdi Fatemi, Peyman Setoodeh, Simon Haykin:
Improving Observability of Stochastic Complex Networks under the Supervision of Cognitive Dynamic Systems. CoRR abs/1412.6162 (2014) - 2012
- [j90]Simon Haykin:
Cognitive Dynamic Systems: Radar, Control, and Radio [Point of View]. Proc. IEEE 100(7): 2095-2103 (2012) - [j89]Simon Haykin, Yanbo Xue, Peyman Setoodeh:
Cognitive Radar: Step Toward Bridging the Gap Between Neuroscience and Engineering. Proc. IEEE 100(11): 3102-3130 (2012) - [j88]Simon Haykin, Mehdi Fatemi, Peyman Setoodeh, Yanbo Xue:
Cognitive Control. Proc. IEEE 100(12): 3156-3169 (2012) - [j87]Farhad Khozeimeh, Simon Haykin:
Brain-Inspired Dynamic Spectrum Management for Cognitive Radio Ad Hoc Networks. IEEE Trans. Wirel. Commun. 11(10): 3509-3517 (2012) - [c54]Peyman Setoodeh, Simon Haykin, Keyvan R. Moghadam:
Double-layer dynamics of cognitive radio networks. WOWMOM 2012: 1-6 - [c53]Peyman Setoodeh, Simon Haykin, Keyvan R. Moghadam:
Dynamic spectrum supply chain model for cognitive radio networks. WOWMOM 2012: 1-6 - 2011
- [j86]Ienkaran Arasaratnam, Simon Haykin:
Cubature Kalman smoothers. Autom. 47(10): 2245-2250 (2011) - [j85]Anna Esposito, Alessandro Vinciarelli, Simon Haykin, Amir Hussain, Marcos Faúndez-Zanuy:
Cognitive Computation Special Issue on Cognitive Behavioural Systems. Cogn. Comput. 3(3): 417-418 (2011) - [j84]Simon Haykin, Amin Zia, Yanbo Xue, Ienkaran Arasaratnam:
Control theoretic approach to tracking radar: First step towards cognition. Digit. Signal Process. 21(5): 576-585 (2011) - [j83]Yingxu Wang, Robert C. Berwick, Simon Haykin, Witold Pedrycz, Witold Kinsner, George Baciu, Du Zhang, Virendrakumar C. Bhavsar:
Cognitive Informatics and Cognitive Computing in Year 10 and Beyond. Int. J. Cogn. Informatics Nat. Intell. 5(4): 1-21 (2011) - [j82]Simon Haykin:
Cognitive Dynamic Systems. Int. J. Cogn. Informatics Nat. Intell. 5(4): 33-43 (2011) - [c52]Simon Haykin:
Cognitive Dynamic Systems: An integrative field that will be a hallmark of the 21st century. IEEE ICCI*CC 2011: 2 - [c51]Yingxu Wang, Robert C. Berwick, Simon Haykin, Witold Pedrycz, George Baciu, Virendrakumar C. Bhavsar, Marina L. Gavrilova, Witold Kinsner, Du Zhang:
Cognitive Informatics in Year 10 and Beyond: summary of the plenary panel. IEEE ICCI*CC 2011: 11-22 - [c50]Simon Haykin:
New vision for the world of wireless communications enabled with cognition. PIMRC 2011: 2335-2337 - 2010
- [j81]Robert J. Elliott, Simon Haykin:
A Zakai equation derivation of the extended Kalman filter. Autom. 46(3): 620-624 (2010) - [j80]Ienkaran Arasaratnam, Simon Haykin, Thomas R. Hurd:
Cubature kalman filtering for continuous-discrete systems: theory and simulations. IEEE Trans. Signal Process. 58(10): 4977-4993 (2010) - [c49]Farhad Khozeimeh, Simon Haykin:
Self-Organizing Dynamic Spectrum Management for Cognitive Radio Networks. CNSR 2010: 1-7
2000 – 2009
- 2009
- [j79]Simon Haykin, David J. Thomson, Jeffrey H. Reed:
Spectrum Sensing for Cognitive Radio. Proc. IEEE 97(5): 849-877 (2009) - [j78]Peyman Setoodeh, Simon Haykin:
Robust Transmit Power Control for Cognitive Radio. Proc. IEEE 97(5): 915-939 (2009) - [j77]Ienkaran Arasaratnam, Simon Haykin:
Cubature Kalman Filters. IEEE Trans. Autom. Control. 54(6): 1254-1269 (2009) - [j76]Farhad Khozeimeh, Simon Haykin:
Dynamic spectrum management for cognitive radio: an overview. Wirel. Commun. Mob. Comput. 9(11): 1447-1459 (2009) - 2008
- [j75]Ienkaran Arasaratnam, Simon Haykin:
Square-Root Quadrature Kalman Filtering. IEEE Trans. Signal Process. 56(6): 2589-2593 (2008) - [c48]Simon Haykin, Yanbo Xue, Timothy N. Davidson:
Optimal waveform design for cognitive radar. ACSCC 2008: 3-7 - [c47]Ienkaran Arasaratnam, Simon Haykin:
Nonlinear Bayesian Filters for Training Recurrent Neural Networks. MICAI 2008: 12-33 - 2007
- [j74]Yanbo Xue, Le Yang, Simon Haykin:
Decoupled echo state networks with lateral inhibition. Neural Networks 20(3): 365-376 (2007) - [j73]Ienkaran Arasaratnam, Simon Haykin, Robert J. Elliott:
Discrete-Time Nonlinear Filtering Algorithms Using Gauss-Hermite Quadrature. Proc. IEEE 95(5): 953-977 (2007) - [j72]Nikita Visnevski, Vikram Krishnamurthy, Alex Wang, Simon Haykin:
Syntactic Modeling and Signal Processing of Multifunction Radars: A Stochastic Context-Free Grammar Approach. Proc. IEEE 95(5): 1000-1025 (2007) - [j71]Tao Feng, Timothy R. Field, Simon Haykin:
Stochastic Differential Equation Theory Applied to Wireless Channels. IEEE Trans. Commun. 55(8): 1478-1483 (2007) - [c46]Simon Haykin:
Cognitive Dynamic Systems. ICASSP (4) 2007: 1369-1372 - [e2]Simon Haykin:
First International Workshop on Cognitive Wireless Networks, CWNETS '07, Vancouver, Canada, August 14-17, 2007. ACM 2007, ISBN 978-1-60558-868-1 [contents] - 2006
- [j70]Robert J. Elliott, Simon Haykin:
A new nonlinear filter. Commun. Inf. Syst. 6(3): 203-220 (2006) - [j69]Simon Haykin:
Cognitive radar: a way of the future. IEEE Signal Process. Mag. 23(1): 30-40 (2006) - [j68]Kris Huber, Simon Haykin:
Improved bayesian MIMO channel tracking for wireless communications: incorporating a dynamical model. IEEE Trans. Wirel. Commun. 5(9): 2458-2466 (2006) - [e1]Justinian P. Rosca, Deniz Erdogmus, José Carlos Príncipe, Simon Haykin:
Independent Component Analysis and Blind Signal Separation, 6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006, Proceedings. Lecture Notes in Computer Science 3889, Springer 2006, ISBN 3-540-32630-8 [contents] - 2005
- [j67]Simon Haykin:
Cognitive radio: brain-empowered wireless communications. IEEE J. Sel. Areas Commun. 23(2): 201-220 (2005) - [j66]Simon Haykin, Zhe Chen:
The Cocktail Party Problem. Neural Comput. 17(9): 1875-1902 (2005) - [j65]Zhe Chen, Suzanna Becker, Jeff Bondy, Ian C. Bruce, Simon Haykin:
A Novel Model-Based Hearing Compensation Design Using a Gradient-Free Optimization Method. Neural Comput. 17(12): 2648-2671 (2005) - [j64]Jongsoo Choi, Antonio Cezar de Castro Lima, Simon Haykin:
Kalman filter-trained recurrent neural equalizers for time-varying channels. IEEE Trans. Commun. 53(3): 472-480 (2005) - [c45]Nikita Visnevski, Simon Haykin, Vikram Krishnamurthy, Fred A. Dilkes, Pierre Lavoie:
Hidden Markov models for radar pulse train analysis in electronic warfare. ICASSP (5) 2005: 597-600 - [c44]Simon Haykin, Alfred O. Hero III, Eric Moulines:
Modeling, identification, and control of large-scale dynamical systems. ICASSP (5) 2005: 945-948 - 2004
- [j63]Simon Haykin, Mathini Sellathurai, Yvo L. C. de Jong, Tricia J. Willink:
Turbo-MIMO for wireless communications. IEEE Commun. Mag. 42(10): 48-53 (2004) - [j62]Simon Haykin, N. deFreitas:
Special Issue on Sequential State Estimation. Proc. IEEE 92(3): 399-400 (2004) - [j61]Simon Haykin, Kris Huber, Zhe Chen:
Bayesian sequential state estimation for MIMO wireless communications. Proc. IEEE 92(3): 439-454 (2004) - [j60]Laurel J. Trainor, Ranil Sonnadara, Karl Wiklund, Jeff Bondy, Shilpy Gupta, Suzanna Becker, Ian C. Bruce, Simon Haykin:
Development of a flexible, realistic hearing in noise test environment (R-HINT-E). Signal Process. 84(2): 299-309 (2004) - [j59]Jeff Bondy, Suzanna Becker, Ian C. Bruce, Laurel J. Trainor, Simon Haykin:
A novel signal-processing strategy for hearing-aid design: neurocompensation. Signal Process. 84(7): 1239-1253 (2004) - [j58]Simon Haykin, Zhe Chen, Suzanna Becker:
Stochastic correlative learning algorithms. IEEE Trans. Signal Process. 52(8): 2200-2209 (2004) - [c43]Karl Wiklund, Ranil Sonnadara, Laurel J. Trainor, Simon Haykin:
R-HINT-E: a realistic hearing in noise test environment. ICASSP (4) 2004: 5-8 - [c42]Zhe Chen, Simon Haykin, Suzanna Becker:
Theory of Monte Carlo sampling-based Alopex algorithms for neural networks. ICASSP (5) 2004: 501-504 - [c41]Simon Haykin:
Signal Processing in a Nonlinear, NonGaussian, and Nonstationary World. Summer School on Neural Networks 2004: 43-53 - 2003
- [j57]Mathini Sellathurai, Simon Haykin:
Turbo-BLAST: performance evaluation in correlated Rayleigh-fading environment. IEEE J. Sel. Areas Commun. 21(3): 340-349 (2003) - [j56]Mathini Sellathurai, Simon Haykin:
T-BLAST for wireless communications: first experimental results. IEEE Trans. Veh. Technol. 52(3): 530-535 (2003) - [c40]Nikita Visnevski, Vikram Krishnamurthy, Simon Haykin, Brian W. Currie, Fred A. Dilkes, Pierre Lavoie:
Multi-function radar emitter modelling: a stochastic discrete event system approach. CDC 2003: 6295-6300 - [c39]Kris Huber, Simon Haykin:
Application of particle filters to MIMO wireless communications. ICC 2003: 2311-2315 - [c38]Jongsoo Choi, Antonio Cezar de Castro Lima, Simon Haykin:
Unscented Kalman filter-trained recurrent neural equalizer for time-varying channels. ICC 2003: 3241-3245 - [c37]Jeff Bondy, Ian C. Bruce, Suzanna Becker, Simon Haykin:
Predicting Speech Intelligibility from a Population of Neurons. NIPS 2003: 1409-1416 - 2002
- [j55]Zhe Chen, Simon Haykin:
On Different Facets of Regularization Theory. Neural Comput. 14(12): 2791-2846 (2002) - [j54]Simon Haykin, Rembrandt Bakker, Brian W. Currie:
Uncovering nonlinear dynamics-the case study of sea clutter. Proc. IEEE 90(5): 860-881 (2002) - [j53]Mathini Sellathurai, Simon Haykin:
Turbo-BLAST for wireless communications: theory and experiments. IEEE Trans. Signal Process. 50(10): 2538-2546 (2002) - [c36]Gustavo López-Risueño, Jesús Grajal, Simon Haykin, Rosa Díaz-Oliver:
Convolutional Neural Networks for Radar Detection. ICANN 2002: 1150-1155 - [c35]Davide Mattera, Francesco Palmieri, Simon Haykin:
Efficient sparse FIR filter design. ICASSP 2002: 1537-1540 - 2001
- [j52]Simon Haykin:
Signal processing: where physics and mathematics meet. IEEE Signal Process. Mag. 18(4): 6-7 (2001) - [j51]Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin:
Supervised and Unsupervised Pattern Recognition: Feature Extraction and Computational Intelligence [Book Review]. IEEE Trans. Neural Networks 12(3): 644-647 (2001) - [j50]Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin:
Multi-Valued and Universal Binary Neurons: Theory, Learning, and Applications [Book Review]. IEEE Trans. Neural Networks 12(3): 647 (2001) - [j49]Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin:
Feedforward Neural Network Methodology. IEEE Trans. Neural Networks 12(3): 647-648 (2001) - [j48]Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin:
Neural and Adaptive Systems: Fundamentals Through Simulations. IEEE Trans. Neural Networks 12(3): 648-649 (2001) - [c34]Mathini Sellathurai, Simon Haykin:
Joint beamformer estimation and co-antenna interference cancellation for TURBO-BLAST. ICASSP 2001: 2453-2456 - [c33]Mathini Sellathurai, Simon Haykin:
A simplified Diagonal BLAST architecture with iterative parallel-interference cancellation receivers. ICC 2001: 3067-3071 - [c32]Zhe Chen, Simon Haykin:
A new view on regularization theory. SMC 2001: 1642-1647 - 2000
- [j47]Simon Haykin:
Adaptive digital communication receivers. IEEE Commun. Mag. 38(12): 106-114 (2000) - [c31]Mathini Sellathurai, Simon Haykin:
TURBO-BLAST for high-speed wireless communications. WCNC 2000: 315-320
1990 – 1999
- 1999
- [j46]Davide Mattera, Francesco Palmieri, Simon Haykin:
An explicit algorithm for training support vector machines. IEEE Signal Process. Lett. 6(9): 243-245 (1999) - [j45]Simon Haykin:
Lessons on adaptive systems for signal processing, communications, and control. IEEE Signal Process. Mag. 16(5): 39-48 (1999) - [j44]Yan Xu, Simon Haykin, Ronald J. Racine:
Multiple window time-frequency distribution and coherence of EEG using Slepian sequences and Hermite functions. IEEE Trans. Biomed. Eng. 46(7): 861-866 (1999) - [j43]Davide Mattera, Francesco Palmieri, Simon Haykin:
Simple and robust methods for support vector expansions. IEEE Trans. Neural Networks 10(5): 1038-1047 (1999) - [j42]Junhong Nie, Simon Haykin:
A dynamic channel assignment policy through Q-learning. IEEE Trans. Neural Networks 10(6): 1443-1455 (1999) - [j41]Paul Yee, Simon Haykin:
A dynamic regularized radial basis function network for nonlinear, nonstationary time series prediction. IEEE Trans. Signal Process. 47(9): 2503-2521 (1999) - [c30]Davide Mattera, Francesco Palmieri, Simon Haykin:
Generalized support vector machines. ESANN 1999: 213-218 - [c29]Mathini Sellathurai, Simon Haykin:
The separability theory of hyperbolic tangent kernels and support vector machines for pattern classification. ICASSP 1999: 1021-1024 - [c28]Hugh Pasika, Simon Haykin, Eugene E. Clothiaux, Ron Stewart:
Neural networks for sensor fusion in remote sensing. IJCNN 1999: 2772-2776 - 1998
- [j40]Simon Haykin, Bart Kosko:
Special Issue On Intelligent Signal Processing. Proc. IEEE 86(11): 2119-2120 (1998) - [j39]Simon Haykin, David J. Thomson:
Signal detection in a nonstationary environment reformulated as an adaptive pattern classification problem. Proc. IEEE 86(11): 2325-2344 (1998) - [j38]Simon Haykin, José C. Príncipe:
Making sense of a complex world [chaotic events modeling]. IEEE Signal Process. Mag. 15(3): 66-81 (1998) - [j37]Nanda Kambhatla, Simon Haykin, Robert D. Dony:
Image Compression Using KLT, Wavelets and an Adaptive Mixture of Principal Components Model. J. VLSI Signal Process. 18(3): 287-296 (1998) - [c27]Davide Mattera, Francesco Palmieri, Simon Haykin:
Adaptive nonlinear filtering with the support vector method. EUSIPCO 1998: 1-4 - 1997
- [j36]Simon Haykin, Ali H. Sayed, James R. Zeidler, Paul Yee, Paul C. Wei:
Adaptive tracking of linear time-variant systems by extended RLS algorithms. IEEE Trans. Signal Process. 45(5): 1118-1128 (1997) - [j35]Simon Haykin, Tarun Kumar Bhattacharya:
Modular learning strategy for signal detection in a nonstationary environment. IEEE Trans. Signal Process. 45(6): 1619-1637 (1997) - [j34]Anthony G. Constantinides, Simon Haykin, Yu Hen Hu, Jenq-Neng Hwang, Shigeru Katagiri, Sun-Yuan Kung, Tomaso A. Poggio:
Guest Editors' Introduction: Neural Networks For Signal Processing. IEEE Trans. Signal Process. 45(11): 2637-2638 (1997) - [j33]Simon Haykin, Paul Yee, Eric Derbez:
Optimum nonlinear filtering. IEEE Trans. Signal Process. 45(11): 2774-2786 (1997) - 1996
- [j32]Andrew M. Ukrainec, Simon Haykin:
A modular neural network for enhancement of cross-polar radar targets. Neural Networks 9(1): 143-168 (1996) - [j31]Simon Haykin, Ronald J. Racine, Yan Xu, C. Andrew Chapman:
Monitoring neuronal oscillations and signal transmission between cortical regions using time-frequency analysis of electroencephalographic activity. Proc. IEEE 84(9): 1295-1301 (1996) - [j30]Simon Haykin:
Neural networks expand SP's horizons. IEEE Signal Process. Mag. 13(2): 24-49 (1996) - 1995
- [j29]Simon Haykin, Xiao Bo Li:
Detection of signals in chaos. Proc. IEEE 83(1): 95-122 (1995) - [j28]Robert D. Dony, Simon Haykin:
Neural network approaches to image compression. Proc. IEEE 83(2): 288-303 (1995) - [j27]Robert D. Dony, Simon Haykin:
Optimally adaptive transform coding. IEEE Trans. Image Process. 4(10): 1358-1370 (1995) - [j26]Simon Haykin, Liang Li:
Nonlinear adaptive prediction of nonstationary signals. IEEE Trans. Signal Process. 43(2): 526-535 (1995) - [j25]Steve Mann, Simon Haykin:
The chirplet transform: physical considerations. IEEE Trans. Signal Process. 43(11): 2745-2761 (1995) - [c26]Paul Yee, Simon Haykin:
A dynamic regularized Gaussian radial basis function network for nonlinear, nonstationary time series prediction. ICASSP 1995: 3419-3422 - [c25]Bob X. Li, Simon Haykin:
A new pseudo-noise generator for spread spectrum communications. ICASSP 1995: 3603-3606 - 1994
- [j24]Simon Haykin, Liang Li:
Modified Kalman filtering. IEEE Trans. Signal Process. 42(5): 1239-1242 (1994) - [j23]Henry Leung, Simon Haykin:
Detection and estimation using an adaptive rational function filter. IEEE Trans. Signal Process. 42(12): 3366-3376 (1994) - [c24]Robert D. Dony, Simon Haykin:
Self-Organizing Segmentor and Feature Extractor. ICIP (3) 1994: 898-902 - 1993
- [j22]Henry Leung, Simon Haykin:
Rational Function Neural Network. Neural Comput. 5(6): 928-938 (1993) - [j21]Edward K. B. Lee, Simon Haykin:
Parallel Implementation of the Extended Square-Root Covariance Filter for Tracking Applications. IEEE Trans. Parallel Distributed Syst. 4(4): 446-457 (1993) - [j20]Tim J. Nohara, Simon Haykin:
AR-based growler detection in sea clutter. IEEE Trans. Signal Process. 41(3): 1259-1271 (1993) - [c23]Bob X. Li, Simon Haykin:
Chaotic detection of small target in sea clutter. ICASSP (1) 1993: 237-240 - [c22]Paul Yee, Simon Haykin:
Pattern classification as an ill-posed, inverse problem: a regularization approach. ICASSP (1) 1993: 597-600 - [c21]Robert D. Dony, Simon Haykin:
Optimally integrated adaptive learning. ICASSP (1) 1993: 609-612 - [c20]Liang Li, Simon Haykin:
A cascaded recurrent neural network for real-time nonlinear adaptive filtering. ICNN 1993: 857-862 - 1992
- [c19]Simon Haykin, Henry Leung:
Model reconstruction of chaotic dynamics: first preliminary radar results. ICASSP 1992: 125-128 - [c18]A. Drosopoulos, Simon Haykin:
Bearing estimation in a colored noise background using the method of multiple windows. ICASSP 1992: 385-388 - [c17]Steve Mann, Simon Haykin:
Time-frequency perspectives: the 'chirplet' transform. ICASSP 1992: 417-420 - [c16]Liang Li, Simon Haykin:
Modified Kalman filtering with an optimal target function. ICASSP 1992: 473-476 - 1991
- [j19]Simon Haykin, Wolfgang Stehwien, Cong Deng, Peter Weber, Richard Mann:
Classification of radar clutter in an air traffic control environment. Proc. IEEE 79(6): 742-772 (1991) - [j18]Simon Haykin, Carl Krasnor, Tim J. Nohara, Brian W. Currie, David Hamburger:
A coherent dual-polarized radar for studying the ocean environment. IEEE Trans. Geosci. Remote. Sens. 29(1): 189-191 (1991) - [j17]Simon Haykin, Cong Deng:
Classification of radar clutter using neural networks. IEEE Trans. Neural Networks 2(6): 589-600 (1991) - [j16]Henry Leung, Simon Haykin:
Error bound method and its application to the LMS algorithm. IEEE Trans. Signal Process. 39(2): 354-358 (1991) - [j15]Henry Leung, Simon Haykin:
The complex backpropagation algorithm. IEEE Trans. Signal Process. 39(9): 2101-2104 (1991) - [c15]Q. T. Zhang, Simon Haykin, Kon Max Wong:
Target detection in a nonstationary noise field: a comparison-based approach. ICASSP 1991: 3549-3552 - 1990
- [c14]Simon Haykin, Peter Weber, Bob Cho, Terry Greenlay, Jim Orlando, Cong Deng, Richard Mann:
Systolic-based computing machinery for radar signal processing studies. ASAP 1990: 689-699 - [c13]Gary Vrckovnik, Charles R. Carter, Simon S. Haykin:
Radial basis function classification of impulse radar waveforms. IJCNN 1990: 45-50 - [c12]Cong Deng, Simon Haykin:
A multi-layer neural network classifier for radar clutter. IJCNN 1990: 241-246
1980 – 1989
- 1989
- [j14]Qitu Zhang, Simon Haykin, Patrick C. Yip:
Performance limits of the innovations-based detection algorithm. IEEE Trans. Inf. Theory 35(6): 1213-1222 (1989) - [j13]Henry Leung, Simon Haykin:
Stability of recursive QRD-LS algorithms using finite-precision systolic array implementation. IEEE Trans. Acoust. Speech Signal Process. 37(5): 760-763 (1989) - 1988
- [j12]Tim J. Nohara, Simon Haykin:
Application of the Weiss-Weinstein bound to a two-dimensional antenna array. IEEE Trans. Acoust. Speech Signal Process. 36(9): 1533-1534 (1988) - [c11]Edward K. B. Lee, Simon Haykin:
Parallel implementation of the tracking Kalman filter. ICASSP 1988: 2092-2095 - 1986
- [j11]E. Vertatschitsch, Simon Haykin:
Nonredundant arrays. Proc. IEEE 74(1): 217 (1986) - 1985
- [j10]Simon Haykin, Brian W. Currie, Edward O. Lewis, Kent A. Nickerson:
Surface-based radar imaging of sea ice. Proc. IEEE 73(2): 233-251 (1985) - [j9]Peter Weber, Simon Haykin, Robert Gray:
Simultaneous resolution of unambiguous range and doppler in a pulse-doppler radar using multiple PRFs. Proc. IEEE 73(6): 1144-1145 (1985) - 1983
- [c10]Qitu Zhang, Simon Haykin:
Tracking characteristics of the Kalman filter in a nonstationary environment for adaptive filter applications. ICASSP 1983: 671-674 - [c9]Simon Haykin, Jelisaveta Kesler, John Litva:
Evaluation of angle of arrival estimators using real multipath data. ICASSP 1983: 695-698 - 1982
- [j8]Peter A. S. Metford, Simon S. Haykin, Desmond P. Taylor:
An innovations approach to discrete-time detection theory. IEEE Trans. Inf. Theory 28(2): 376-380 (1982) - [c8]Carey Gibson, Simon Haykin:
Non-stationary learning characteristics of adaptive lattice filters. ICASSP 1982: 671-674 - 1981
- [c7]Stanislav B. Kesler, Simon Haykin, Robert S. Walker:
Maximum-entropy field-mapping in the presence of correlated multipath. ICASSP 1981: 157-161 - [c6]Jelisaveta Kesler, Simon Haykin:
An adaptive interference canceller using Kalman filtering. ICASSP 1981: 546-549 - [c5]Carey Gibson, Simon Haykin:
Performance studies of adaptive lattice prediction-Error filters for target detection in a radar environment using real data. ICASSP 1981: 1054-1057 - 1980
- [c4]James P. Reilly, Simon Haykin:
An experimental study of the MEM applied to array antennas in the presence of multipath. ICASSP 1980: 120-123 - [c3]Carey Gibson, Simon Haykin:
A comparison of algorithms for the calculation of adaptive lattice filters. ICASSP 1980: 978-983
1970 – 1979
- 1979
- [c2]Carey Gibson, Simon Haykin, Stanislav B. Kesler:
Maximum entropy (adaptive) filtering applied to radar clutter. ICASSP 1979: 166-169 - 1978
- [j7]Stanislav B. Kesler, Simon Haykin:
The maximum entropy method applied to the spectral analysis of radar clutter (Corresp.). IEEE Trans. Inf. Theory 24(2): 269-272 (1978) - [c1]Charles R. Carter, Simon S. Haykin, Hing C. Chan:
A programmable sonar signal processor. ICASSP 1978: 237-240 - 1977
- [j6]Simon Haykin:
Performance analysis of a radar signal processing system with continuous electronic array scanning. Inf. Sci. 13(3): 201-227 (1977) - [j5]Charles R. Carter, Rudi de Buda, Simon S. Haykin:
A New System Synchronization Technique for the Switching Satellite. IEEE Trans. Commun. 25(4): 455-458 (1977) - 1976
- [j4]Simon Haykin, Chris Hawkes:
Adaptive digital filtering for coherent MTI radar. Inf. Sci. 11(4): 335-359 (1976) - [j3]Desmond P. Taylor, Hing C. Chan, Simon S. Haykin:
A Simulation Study of Digital Modulation Methods for Wide-Band Satellite Communications. IEEE Trans. Commun. 24(12): 1351-1354 (1976) - 1975
- [j2]Chris Hawkes, Simon Haykin:
Modeling of clutter for coherent pulsed radar (Corresp.). IEEE Trans. Inf. Theory 21(6): 703-707 (1975) - 1974
- [j1]Charles R. Carter, Simon S. Haykin:
A New Synchronization Technique for Switched TDMA Satellite Systems. IEEE Trans. Commun. 22(5): 710-713 (1974)
Coauthor Index
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