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Higher-order statistics-based nonlinear speech analysis (2002)
Journal Article
Soraghan, J. J., Hussain, A., Alkulabi, A., & Durrani, T. (2002). Higher-order statistics-based nonlinear speech analysis. Control and Intelligent Systems, 30, 11-18

A fast and robust three-level binary higher order statistics (HOS) based algorithm for simultaneous voiced/unvoiced detection and pitch estimation of speech signals in coloured noise environments with low SNR is presented. The use of the three-level... Read More about Higher-order statistics-based nonlinear speech analysis.

Nonlinear speech processing: Overview and applications (2002)
Journal Article
Faúndez-Zanuy, M., McLaughlin, S., Esposito, A., Hussain, A., Schoentgen, J., Kubin, G., …Maragos, P. (2002). Nonlinear speech processing: Overview and applications. Control and Intelligent Systems, 30, 1-10

This article presents an overview of various nonlinear processing techniques applied to speech signals. Evidence relating to the existence of nonlinearities in speech is presented, and the main differences between linear and nonlinear analysis are su... Read More about Nonlinear speech processing: Overview and applications.

Introduction (2002)
Journal Article
Hussain, A. (2002). Introduction. Control and Intelligent Systems, 30,

Introduction to Special Issue Number 1 of the international journal: Control and intelligent systems, nonlinear speech processing.

Stochastic resonance and finite resolution in a network of leaky integrate-and-fire neurons (2002)
Conference Proceeding
Mtetwa, N., Smith, L., & Hussain, A. (2002). Stochastic resonance and finite resolution in a network of leaky integrate-and-fire neurons. In Artificial Neural Networks — ICANN 2002 (117-122). https://doi.org/10.1007/3-540-46084-5_20

This paper discusses the effect of stochastic resonance in a network of leaky integrate-and-fire (LIF) neurons and investigates its realisation on a Field Programmable Gate Array (FPGA). We report in this study that stochastic resonance which is main... Read More about Stochastic resonance and finite resolution in a network of leaky integrate-and-fire neurons.

A new neural network and pole placement based adaptive composite controller (2002)
Conference Proceeding
Hussain, A., Zayed, A. S., & Smith, L. (2002). A new neural network and pole placement based adaptive composite controller. In Proceedings. IEEE International Multi Topic Conference, 2001. IEEE INMIC 2001. Technology for the 21st Century (267-271). https://doi.org/10.1109/INMIC.2001.995349

The paper describes a new composite control method combining a neural network estimator with a conventional pole-placement based adaptive controller. The neural network estimation technique presented by Hussain (2000) is particularly effective when t... Read More about A new neural network and pole placement based adaptive composite controller.