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All Outputs (495)

New neural network based mobile location estimation in urban propagation models (2003)
Presentation / Conference Contribution
Muhammad, J., Hussain, A., & Ahmed, W. (2003). New neural network based mobile location estimation in urban propagation models. . https://doi.org/10.1109/INMIC.2003.1416679

Location estimation finds its applications in many important decisions in cellular networks. Hand offs, cellular fraud detection and location sensitive billing are some of the examples. Many different techniques are currently in use. This work first... Read More about New neural network based mobile location estimation in urban propagation models.

Novel non-linear PID based multiple-controller incorporating a neural network learning sub-model (2003)
Presentation / Conference Contribution
Zayed, A., & Hussain, A. (2003). Novel non-linear PID based multiple-controller incorporating a neural network learning sub-model. In 7th International Multi Topic Conference, 2003. INMIC 2003 (283-289). https://doi.org/10.1109/INMIC.2003.1416729

The paper proposes a new non-linear adaptive PID based multiple-controller incorporating a neural network learning sub-model. The unknown non-linear plant is represented by an equivalent model consisting of a linear time-varying sub-model plus a non-... Read More about Novel non-linear PID based multiple-controller incorporating a neural network learning sub-model.

Stability analysis of a new non-linear pole-zero placement controller incorporating neural networks (2003)
Presentation / Conference Contribution
Zayed, A., & Hussain, A. (2003). Stability analysis of a new non-linear pole-zero placement controller incorporating neural networks. In Proceedings - INMIC 2003: IEEE 7th International Multi Topic Conference (290-294). https://doi.org/10.1109/INMIC.2003

The stability analysis and parameter convergence of a newly reported self-tuning pole-zero placement controller algorithm for non-linear dynamic systems are studied. The original controller overcomes the shortcomings of other linear designs and provi... Read More about Stability analysis of a new non-linear pole-zero placement controller incorporating neural networks.

Attempting to Reduce the Vanishing Gradient Effect through a novel Recurrent Multiscale Architecture (2003)
Presentation / Conference Contribution
Squartini, S., Hussain, A., & Piazza, F. (2003). Attempting to Reduce the Vanishing Gradient Effect through a novel Recurrent Multiscale Architecture. In Proceedings of the International Joint Conference on Neural Networks (2819-2824). https://doi.org/10

This paper proposes a possible solution to the vanishing gradient problem in recurrent neural networks, occurring when such networks are applied to solving tasks where detection of long term dependencies is required. The main idea consists of pre-pro... Read More about Attempting to Reduce the Vanishing Gradient Effect through a novel Recurrent Multiscale Architecture.

Preprocessing based solution for the vanishing gradient problem in recurrent neural networks (2003)
Presentation / Conference Contribution
Squartini, S., Hussain, A., & Piazza, F. (2003). Preprocessing based solution for the vanishing gradient problem in recurrent neural networks. . https://doi.org/10.1109/ISCAS.2003.1206412

In this paper, a possible solution to the vanishing gradient problem in recurrent neural networks (RNN) is proposed. The main idea consists of pre-processing the signal (a time series typically) through a wavelet decomposition, in order to separate t... Read More about Preprocessing based solution for the vanishing gradient problem in recurrent neural networks.

A recurrent multiscale architecture for long-term memory prediction task (2003)
Presentation / Conference Contribution
Squartini, S., Hussain, A., & Piazza, F. (2003). A recurrent multiscale architecture for long-term memory prediction task. In 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03) (789-792). https

In the past few years, researchers have been extensively studying the application of recurrent neural networks (RNNs) to solving tasks where detection of long term dependencies is required. This paper proposes an original architecture termed the Recu... Read More about A recurrent multiscale architecture for long-term memory prediction task.

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.

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.

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.

Stochastic resonance and finite resolution in a network of leaky integrate-and-fire neurons (2002)
Presentation / Conference Contribution
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)
Presentation / Conference Contribution
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

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.

A modified generalised minimum-variance stochastic self-tuning controller with pole-zero placement (2001)
Presentation / Conference Contribution
Zayed, A., Hussain, A., & Smith, L. (2001). A modified generalised minimum-variance stochastic self-tuning controller with pole-zero placement. In Proceedings. IEEE International Multi Topic Conference, 2001. IEEE INMIC 2001. Technology for the 21st Cen

The paper proposes a modified robust self-tuning controller, which minimises a cost function, incorporating system input, system output and set-point. It provides an adaptive mechanism which ensures that both the closed-loop poles and zeros are place... Read More about A modified generalised minimum-variance stochastic self-tuning controller with pole-zero placement.

Intelligibility improvements using binaural diverse sub-band processing applied to speech corrupted with automobile noise (2001)
Journal Article
Hussain, A., & Campbell, D. (2001). Intelligibility improvements using binaural diverse sub-band processing applied to speech corrupted with automobile noise. IEE Proceedings: Vision, Image and Signal Processing, 148(2), 127-132. https://doi.org/10.1049/i

The paper reports on experiments assessing the capability of a diverse processing, multi-microphone sub-band adaptive signal processing scheme for improving the intelligibility of speech corrupted with automobile noise. Results from formal listening... Read More about Intelligibility improvements using binaural diverse sub-band processing applied to speech corrupted with automobile noise.