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Blind equalisation of communication channels for equal energy sources: Energy matching approach (2006)
Journal Article
Naveed, A., Qureshi, I., Hussain, A., & Fiori, S. (2006). Blind equalisation of communication channels for equal energy sources: Energy matching approach. Electronics Letters, 42(4), 247-248. https://doi.org/10.1049/el%3A20062983

A new energy-matching approach for blind equalisation of possibly non-minimum phase channels is presented. The scheme exploits second order statistics and uses oversampling, but does not use the matching of statistics of the input with that of the ou... Read More about Blind equalisation of communication channels for equal energy sources: Energy matching approach.

A new RBF neural network based non-linear self-tuning pole-zero placement controller (2005)
Presentation / Conference Contribution
Abdullah, R., Hussain, A., & Zayed, A. (2005). A new RBF neural network based non-linear self-tuning pole-zero placement controller. In Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 15th International Conference, Warsaw,

In this paper a new self-tuning controller algorithm for non-linear dynamical systems has been derived using the Radial Basis Function Neural Network (RBF). In the proposed controller, the unknown non-linear plant is represented by an equivalent mode... Read More about A new RBF neural network based non-linear self-tuning pole-zero placement controller.

Biclustering gene expression data in the presence of noise (2005)
Presentation / Conference Contribution
Abdullah, A., & Hussain, A. (2005). Biclustering gene expression data in the presence of noise. In Artificial Neural Networks: Biological Inspirations – ICANN 2005 15th International Conference, Warsaw, Poland, September 11-15, 2005. Proceedings, Part

Production of gene expression chip involves a large number of error-prone steps that lead to a high level of noise in the corresponding data. Given the variety of available biclustering algorithms, one of the problems faced by biologists is the selec... Read More about Biclustering gene expression data in the presence of noise.

New neural network based mobile location estimation in a metropolitan area (2005)
Presentation / Conference Contribution
Muhammad, J., Hussain, A., Neskovic, A., & Magill, E. (2005). New neural network based mobile location estimation in a metropolitan area. In Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 15th International Conference, Wa

This paper presents a new neural network based approach to the prediction of mobile locations using signal strength measurements in a simulated metropolitan area. The prediction of a mobile location using propagation path loss (signal strength) is a... Read More about New neural network based mobile location estimation in a metropolitan area.

New sub-band processing framework using non-linear predictive models for speech feature extraction (2005)
Presentation / Conference Contribution
Chetouani, M., Hussain, A., Gas, B., & Zarader, J. (2005). New sub-band processing framework using non-linear predictive models for speech feature extraction. In Nonlinear Analyses and Algorithms for Speech Processing (284-290). https://doi.org/10.1007/1

Speech feature extraction methods are commonly based on time and frequency processing approaches. In this paper, we propose a new framework based on sub-band processing and non-linear prediction. The key idea is to pre-process the speech signal by a... Read More about New sub-band processing framework using non-linear predictive models for speech feature extraction.

Non-linear predictive models for speech processing (2005)
Presentation / Conference Contribution
Chetouani, M., Hussain, A., Faundez-Zanuy, M., & Gas, B. (2005). Non-linear predictive models for speech processing. In Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 15th International Conference, Warsaw, Poland, Septemb

This paper aims to provide an overview of the emerging area of non-linear predictive modelling for speech processing. Traditional predictors are linear based models related to the speech production model. However, non-linear phenomena involved in the... Read More about Non-linear predictive models for speech processing.

Nonlinear adaptive speech enhancement inspired by early auditory processing (2005)
Presentation / Conference Contribution
Hussain, A., Durrani, T. S., Alkulaibi, A., & Mtetwa, N. (2005). Nonlinear adaptive speech enhancement inspired by early auditory processing. In Nonlinear Speech Modeling and Applications: Advanced Lectures and Revised Selected Papers (291-316). https://

This paper presents non-linear adaptive speech enhancement schemes inspired by features of early auditory processing. A generic multi-microphone sub-band adaptive (MMSBA) framework is described which allows for the manipulation of several factors tha... Read More about Nonlinear adaptive speech enhancement inspired by early auditory processing.

Novel sub-band adaptive systems incorporating wiener filtering for binaural speech enhancement (2005)
Presentation / Conference Contribution
Hussain, A., Squartini, S., & Piazza, F. (2005). Novel sub-band adaptive systems incorporating wiener filtering for binaural speech enhancement. In Nonlinear Analyses and Algorithms for Speech Processing International Conference on Non-Linear Speech Proc

In this paper, new Wiener filtering based binaural sub-band schemes are proposed for adaptive speech-enhancement. The proposed architectures combine a Multi-Microphone Sub-band Adaptive (MMSBA) system with Wiener filtering in order to further reduce... Read More about Novel sub-band adaptive systems incorporating wiener filtering for binaural speech enhancement.

The COST-277 European action: An overview (2005)
Presentation / Conference Contribution
Faundez-Zanuy, M., Laine, U., Kubin, G., McLaughlin, S., Kleijn, B., Chollet, G., …Hussain, A. (2005). The COST-277 European action: An overview. In Nonlinear Analyses and Algorithms for Speech Processing International Conference on Non-Linear Speech P

This paper summarizes the rationale for proposing the COST-277 “nonlinear speech processing” action, and the work done during these last four years. In addition, future perspectives are described.

Temporal classification for fault-prediction in a real-world telecommunications network (2005)
Presentation / Conference Contribution
Jaudet, M., Iqbal, N., Hussain, A., & Sharif, K. (2005). Temporal classification for fault-prediction in a real-world telecommunications network. In Proceedings of the IEEE Symposium on Emerging Technologies, 2005 (209-214). https://doi.org/10.1109/ICET.

This paper presents a new temporal classification approach for fault-prediction in a Telecommunications Network. The countrywide data network of Pakistan Telecom (PTCL) has been selected as a basis for the investigation of classification algorithms t... Read More about Temporal classification for fault-prediction in a real-world telecommunications network.

Blind image deconvolution using space-variant neural network approach (2005)
Journal Article
Cheema, T., Qureshi, I., & Hussain, A. (2005). Blind image deconvolution using space-variant neural network approach. Electronics Letters, 41(6), 308-309

A novel space-variant neural network based on an autoregressive moving average process is proposed for blind image deconvolution. An extended cost function motivated by human visual perception is developed simultaneously to identify the blur and to r... Read More about Blind image deconvolution using space-variant neural network approach.

Hybrid HOS-SOS approach for blind equalisation of communication channels (2005)
Journal Article
Hussain, A., Naveed, A., & Qureshi, I. (2005). Hybrid HOS-SOS approach for blind equalisation of communication channels. Electronics Letters, 41(6), 376-377. https://doi.org/10.1049/el%3A20057272

A new hybrid higher-order statistics (HOS) and second-order statistics (SOS) based approach to improve the performance of the standard Bussgang algorithm for blind equalisation of digital communication channels is presented. An additional term, based... Read More about Hybrid HOS-SOS approach for blind equalisation of communication channels.

A new multivariable generalized minimum-variance controller with pole-zero placement (2004)
Journal Article
Zayed, A. S., Hussain, A., & Smith, L. (2004). A new multivariable generalized minimum-variance controller with pole-zero placement. Control and Intelligent Systems, 32(1), 35-44. https://doi.org/10.2316/Journal.201.2004.1.201-1307

This article presents the derivation of a new robust multivariable adaptive controller, which minimizes a cost function, incorporating system input, system output, and set point. It provides an adaptive mechanism that ensures that both the closed-loo... Read More about A new multivariable generalized minimum-variance controller with pole-zero placement.

Neural networks for fault-prediction in a telecommunications network (2004)
Presentation / Conference Contribution
Jaudet, M., Iqbal, N., & Hussain, A. (2004). Neural networks for fault-prediction in a telecommunications network. In 8th International Multitopic Conference, 2004. Proceedings of INMIC 2004 (315-320). https://doi.org/10.1109/INMIC.2004.1492896

The main topic of this paper is fault prediction from large alarm records stored in different databases of non-cooperating network management systems. We have chosen the countrywide data network of Pakistan Telecom (PTCL) as a basis for the investiga... Read More about Neural networks for fault-prediction in a telecommunications network.

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.