All Outputs (522)

Novel sub-band adaptive systems incorporating wiener filtering for binaural speech enhancement (2005)
Presentation / Conference Contribution
Hussain, A., Squartini, S., & Piazza, F. (2005, April). Novel sub-band adaptive systems incorporating wiener filtering for binaural speech enhancement. Presented at NOLISP 2005: International Conference on Nonlinear Analyses and Algorithms for Speech Processing, Barcelona, Spain

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., Petek, B., & Hussain, A. (2005, April). The COST-277 European action: An overview. Presented at NOLISP 2005: International Conference on Nonlinear Analyses and Algorithms for Speech Processing, Barcelona, Spain

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, September). Temporal classification for fault-prediction in a real-world telecommunications network. Presented at IEEE 2005 International Conference on Emerging Technologies, Islamabad, Pakistan

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, December). Neural networks for fault-prediction in a telecommunications network. Presented at 8th International Multitopic Conference, 2004, Lahore, Pakistan

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, December). New neural network based mobile location estimation in urban propagation models. Presented at 7th International Multi Topic Conference, 2003. INMIC 2003., Islamabad, Pakistan

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, December). Novel non-linear PID based multiple-controller incorporating a neural network learning sub-model. Presented at 7th International Multi Topic Conference, 2003. INMIC 2003., Islamabad, Pakistan

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, December). Stability analysis of a new non-linear pole-zero placement controller incorporating neural networks. Presented at 7th International Multi Topic Conference, 2003 (INMIC 2003), Islamabad, Pakistan

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, July). Attempting to Reduce the Vanishing Gradient Effect through a novel Recurrent Multiscale Architecture. Presented at International Joint Conference on Neural Networks, 2003, Portland, OR, US

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, May). Preprocessing based solution for the vanishing gradient problem in recurrent neural networks. Presented at 2003 IEEE International Symposium on Circuits and Systems (ISCAS), Bangkok, Thailand

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, April). A recurrent multiscale architecture for long-term memory prediction task. Presented at 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., Hong Kong, China

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., Kleijn, W. B., & 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, August). Stochastic resonance and finite resolution in a network of leaky integrate-and-fire neurons. Presented at ICANN: International Conference on Artificial Neural Networks, Madrid, Spain

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. (2001, December). A new neural network and pole placement based adaptive composite controller. Presented at Multi Topic, IEEE International Conference, Lahore, Pakistan

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, December). A modified generalised minimum-variance stochastic self-tuning controller with pole-zero placement. Presented at IEEE International Multi Topic Conference, 2001, Lahore, Pakistan

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.

Proceedings. IEEE International Multi Topic Conference, 2001. IEEE INMIC 2001. Technology for the 21st Century: Foreword (2001)
Presentation / Conference Contribution
Hassan, S., Mirza, H., Aziz, S., Babri, H., Iqbal, M., Maud, M., Nagrial, M., Hussain, A., Shamail, S., Ikram, Z., Raashid, M., Hameed, A., Akhtar, N., Sipra, Q., Bhatti, I., & Iqbal, Z. (2001, December). Proceedings. IEEE International Multi Topic Conference, 2001. IEEE INMIC 2001. Technology for the 21st Century: Foreword. Presented at IEEE International Multi Topic Conference, 2001. IEEE INMIC 2001. Technology for the 21st Century., Lahore, Pakistan