Simon Haykin

Known as: Haykin 
Simon Haykin is an electrical engineer, noted for his pioneering work in adaptive signal-processing with emphasis on applications in radar and… (More)
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MICAISignal processingTülay Adalı

Papers overview

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2015
2015
Prediction of telephone calls load using Echo State Network with exogenous variables
We approach the problem of forecasting the load of incoming calls in a cell of a mobile network using Echo State Networks. With… (More)
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2014
2014
Improved Sparse Coding Under the Influence of Perceptual Attention
Sparse coding has established itself as a useful tool for the representation of natural data in the neuroscience as well as… (More)
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Highly Cited
2012
Highly Cited
2012
Cognitive Dynamic Systems: Perception-action Cycle, Radar and Radio
cognitive dynamic systems perception action cycle radar haykin, simon. cognitive dynamic systems perceptionaction cognitive… (More)
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2007
2007
A framework for post-event timeline reconstruction using neural networks
Post-event timeline reconstruction plays a critical role in forensic investigation and serves as a means of identifying evidence… (More)
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2005
2005
A Novel Model-Based Hearing Compensation Design Using a Gradient-Free Optimization Method
We propose a novel model-based hearing compensation strategy and gradient-free optimization procedure for a learning-based… (More)
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2004
2004
1 FEEDFORWARD NEURAL NETWORKS : AN INTRODUCTION
1 A neural network is a massively parallel distributed processor that has a natural propensity for storing experiential knowledge… (More)
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Highly Cited
1998
Highly Cited
1998
Broadband nearfield beamforming using a radial beampattern transformation
This paper presents a new method of designing a beamformer having a desired nearfield broadband beampattern. The methodology uses… (More)
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1997
1997
Chaos, sea clutter, and neural networks
The notion that a deterministic nonlinear dynamical system (with relatively few degrees of freedom) can display aperiodic… (More)
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Highly Cited
1994
Highly Cited
1994
Neural Networks: A Comprehensive Foundation
El profesor Haykin ha escrito un libro muy interesante, que ya lleva su segunda edición, lo cual es extrafio dentro de la gran… (More)
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Highly Cited
1992
Highly Cited
1992
On the training of radial basis function classifiers
-An approach./or the implenwntation ql'the Radial Basis Function (RBF) technique is presented and applied to a network qlthe… (More)
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