All Outputs (11)

A new RBF neural network based non-linear self-tuning pole-zero placement controller (2005)
Conference Proceeding
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, Poland, September 11-15, 2005. Proceedings, Part II (351-357). https://doi.org/10.1007/11550907_56

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)
Conference Proceeding
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 I (611-616). https://doi.org/10.1007/11550822_95

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)
Conference Proceeding
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, Warsaw, Poland, September 11-15, 2005. Proceedings, Part II (935-941). https://doi.org/10.1007/11550907_148

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)
Conference Proceeding
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/10.1007/11613107_25

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)
Conference Proceeding
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, September 11-15, 2005. Proceedings, Part II (779-784). https://doi.org/10.1007/11550907_123

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)
Conference Proceeding
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://doi.org/10.1007/11520153_13

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)
Conference Proceeding
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 Processing, NOLISP 2005, Barcelona, Spain, April 19-22, 2005, Revised Selected Papers (318-327). https://doi.org/10.1007/11613107_28

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)
Conference Proceeding
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 Processing, NOLISP 2005, Barcelona, Spain, April 19-22, 2005, Revised Selected Papers (1-9). https://doi.org/10.1007/11613107_1

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)
Conference Proceeding
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.2005.1558882

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.