All Outputs (400)

Dissimilarity analysis of signal processing methods for texture classification (2006)
Presentation / Conference Contribution
Qaiser, N., Hussain, M., Hussain, A., Iqbal, N., & Qaiser, N. (2006). Dissimilarity analysis of signal processing methods for texture classification. In 2005 Pakistan Section Multitopic Conference. https://doi.org/10.1109/INMIC.2005.334512

As observed from the literature survey, there is no commonly accepted quantitative definition of visual texture. As a consequence, researchers seeking a quantitative texture measure have been forced to search intuitively for texture features, and the... Read More about Dissimilarity analysis of signal processing methods for texture classification.

Editorial: Nonlinear adaptive PID control - Part II (2006)
Journal Article
Hussain, A., Grimble, M., & Zayed, A. (2006). Editorial: Nonlinear adaptive PID control - Part II. Control and Intelligent Systems, 34(3), 175

The article provides an overview of papers about nonlinear adaptive proportional integral derivative (PID) control, published in the August 2006 issue of "Control and Intelligent Systems." Zayed and colleagues wrote an editorial describing a nonlinea... Read More about Editorial: Nonlinear adaptive PID control - Part II.

A new radial basis function neural network based multi-variable adaptive pole-zero placement controller (2006)
Presentation / Conference Contribution
Abdullah, R., Hussain, A., & Zayed, A. (2006). A new radial basis function neural network based multi-variable adaptive pole-zero placement controller. In 2006 IEEE International Conference on Engineering of Intelligent Systems. https://doi.org/10.1109/I

In this paper a new multi-variable adaptive controller algorithm for non-linear dynamical systems has been derived which employs the radial basis function (RBF) neural network. In the proposed controller, the unknown plant is represented by an equiva... Read More about A new radial basis function neural network based multi-variable adaptive pole-zero placement controller.

Blind equalization of communication channels with equal energy sources using a combined HOS-SOS approach (2006)
Presentation / Conference Contribution
Naveed, A., Qureshi, I., Hussain, A., & Cheema, T. (2006). Blind equalization of communication channels with equal energy sources using a combined HOS-SOS approach. In 2006 IEEE International Conference on Engineering of Intelligent Systems. https://doi.

This paper presents a combined higher order statistics (HOS) and second order statistics (SOS) approach to blind equalization of white as well as colored sources. Remarkable convergence speed has been achieved through an additional term in the cost f... Read More about Blind equalization of communication channels with equal energy sources using a combined HOS-SOS approach.

Heuristics and meta-heuristics for bandwidth minimization of sparse matrices (2006)
Presentation / Conference Contribution
Abdullah, A., & Hussain, A. (2006). Heuristics and meta-heuristics for bandwidth minimization of sparse matrices. In 2006 IEEE International Conference on Engineering of Intelligent Systems. https://doi.org/10.1109/ICEIS.2006.1703188

In this paper a new crossing minimization based method is proposed to solve the well-known matrix bandwidth minimization problem, which is to permute the rows and columns of the matrix so as to bring all the non-zero elements of the matrix to reside... Read More about Heuristics and meta-heuristics for bandwidth minimization of sparse matrices.

Non-linear predictors based on the functionally expanded neural networks for speech feature extraction (2006)
Presentation / Conference Contribution
Chetouani, M., Hussain, A., Gas, B., & Zarader, J. (2006). Non-linear predictors based on the functionally expanded neural networks for speech feature extraction. In 2006 IEEE International Conference on Engineering of Intelligent Systems. https://doi.or

In this paper we focus on the design of the feature extractor stage of the speech recognition system which aims to compute optimal vectors for the next phoneme classification stage. We propose a new non-linear feature extraction method based on the l... Read More about Non-linear predictors based on the functionally expanded neural networks for speech feature extraction.

Stabilization of non-linear inertia wheel pendulum system using a new dynamic surface control based technique (2006)
Presentation / Conference Contribution
Qaiser, N., Iqbal, N., & Hussain, A. (2006). Stabilization of non-linear inertia wheel pendulum system using a new dynamic surface control based technique. In 2006 IEEE International Conference on Engineering of Intelligent Systems. https://doi.org/10.11

This paper considers the stabilization problem of inertia-wheel pendulum (IWP), a widely studied nonlinear mechanical system. The IWP is a classical example of flat under-actuated mechanical systems, for which the design of control laws becomes a cha... Read More about Stabilization of non-linear inertia wheel pendulum system using a new dynamic surface control based technique.

Data mining a new pilot agriculture extension data warehouse (2006)
Journal Article
Abdullah, A., & Hussain, A. (2006). Data mining a new pilot agriculture extension data warehouse. Journal of Research and Practice in Information Technology, 38(3), 229-248

Pakistan is the world’s fifth largest cotton producer. To monitor cotton growth, different government departments and agencies in Pakistan have been recording pest scouting, agriculture and metrological data for decades. Coarse estimates of just the... Read More about Data mining a new pilot agriculture extension data warehouse.

A new biclustering technique based on crossing minimization (2006)
Journal Article
Abdullah, A., & Hussain, A. (2006). A new biclustering technique based on crossing minimization. Neurocomputing, 69(16-18), 1882-1896. https://doi.org/10.1016/j.neucom.2006.02.018

Clustering only the records in a database (or data matrix) gives a global view of the data. For a detailed analysis or a local view, biclustering or co-clustering is required, involving the clustering of the records and the attributes simultaneously.... Read More about A new biclustering technique based on crossing minimization.

A novel multiple-controller incorporating a radial basis function neural network based generalized learning model (2006)
Journal Article
Zayed, A. S., Hussain, A., & Abdullah, R. A. (2006). A novel multiple-controller incorporating a radial basis function neural network based generalized learning model. Neurocomputing, 69(16-18), 1868-1881. https://doi.org/10.1016/j.neucom.2006.02.017

A new adaptive multiple-controller is proposed incorporating a radial basis function (RBF) neural network based generalized learning model (GLM). The GLM assumes that the unknown complex plant is represented by an equivalent stochastic model consisti... Read More about A novel multiple-controller incorporating a radial basis function neural network based generalized learning model.

Brain inspired cognitive systems (BICS 2004) (2006)
Journal Article
Hussain, A., Smith, L., & Alexander, I. (2006). Brain inspired cognitive systems (BICS 2004). Neurocomputing, 69(16-18), 1825-1826. https://doi.org/10.1016/j.neucom.2006.05.005

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.