School of Electronic, Electrical and Systems Engineering

The Advanced Signal Processing Group (ASPG) performs internationally-leading research in algorithmic and applied signal processing, underpinned by industrial collaboration and support.
General research areas

• Adaptive signal processing
• Bio-acoustics and sonar
• Biomimetics
• Biomedical signal processing
• Blind source separation
• Cognitive radio
• Computational auditory scene analysis
• Distributed estimation and detection
• Equalization
• MIMO technology: Point-to-point and multihop/relay
• Multiple access schemes and interference cancellation
• Optimizations methods and game theory
• Speech and video processing and information fusion
• Source and channel coding/decoding
• Underwater acoustics
• Wireless systems: 3G, WiFi, WiMAX, LTE

Specific areas of expertise

• Collaborative and competitve signal processing
• Communications signal processing
• Multimodal processing
• Underwater signal processing

Awards and honors

A. Anandkumar

Graduate School Research Student Prize

Recent PhD graduates

2010

M. Davies

Polynomial Matrix Decomposition Techniques for Frequency Selective MIMO Channels

2009

R. Krishna	Mathematical Optimisation and Signal Processing Techniques in Wireless Relay Networks
K. Cumanan	Spatial Diversity and Optimisation Techniques for Cognitive Radio Networks
K. Maatoug	Blind Adaptive Algorithms for Channel Shortening in Wireline Communication Systems
S. Cheng	Novel Multiple Antenna Techniques for Improved Diversity in Wireless Communication Systems
S.K. Kassim	Closed-Loop Space-Time Block Coding and Resource Allocation in Collaborative Wireless Networks
F. Alharbi	Peak-to-Average Power Mitigation in MIMO OFDM
S.M. Naqvi	Multimodal Blind Source Separation
L. Leilei	Adaptive Algorithms and Variable Structures for Distributed Estimation
A. Aljohani	Novel Signal Processing Techniques for Single Carrier Multiuser MIMO Wireless Communications
N.E. Eltayeb	Space-Time Coding for Broadband Point-to-Point and Collaborative Wireless Communications
M. Grira	Partial Update Blind Adaptive Channel Shortening Algorithms for Wireline Multicarrier Systems

2008

T. Tsalaile	Digital Signal Processing Algorithms and Techniques for the Enhancement of Lung Sound Measurements
L. Zhang	Advanced Signal Processing for Multi-User MIMO-OFDM
A. Aubrey	Exploiting the Bi-modality of Speech in the Cocktail Party Problem
J. Foster	Algorithms and Techniques for Polynomial Matrix Decompositions
V. Sharma	Multiuser Spatial Diversity Techniques for Wireless Communication Systems,” Loughborough University
M.T.N. Qaisrani	Estimation and Detection Techniques for Doubly Selective Channels in Wireless Communications

This group has three main areas of research activity: Acoustics, Antennas and Propagation, and Communications Signal Processing.

Acoustics and Underwater Systems Research

Bioacoustics

• EPIC – improvement of mitigation for marine mammal by-catch
  The development of improved methods of mitigating the incidental catch of this species in commercial gill-net fishing gear.
• ADEPT –reduction of predation by marine mammals using acoustics
  The development of effective mechanisms to reduce this. predation, or opportunistic foraging, on fishing nets by dolphins
• CETASEL- investigation of marine mammal behaviour around pelagic fishing trawls
  Investigate the behaviour of small cetaceans around a commercial pelagic trawl operating in deep water
• Acoustic deterrents to minimise entrapment of juvenile shad
  Investigation of the ultrasonic acoustic deterrents’ to minimise fish entrapment in fresh water outflows from UK rivers.

Sonar Systems

• SIGMA -Sediment Identification for Geotechnics by Marine Acoustic and REBECCA
• DEO- Detection of Embedded Objects using non-linear sonar

Underwater Noise

• Underwater Noise Assessment System for Small Leisure Boats (BLUES)
• Underwater Noise Measurement of Marine Piling Operations
• Measurement of Noise Arising from Marine Aggregate Operations
• Validation of the auditory tolerance limit in harbour porpoises for exposure to construction noise from windmill turbines
• Noise field modelling and impact assessments in marine environments

Antennas and propagation

• Broadband antenna designs incorporating metamaterials
• Novel compact CP antennas for satellite communications
• Biomimetic antennas
• Polarisation dependent metamaterials
• Leak detection in plastic pipes
• The effect of jewellery on mobile telephone absorption

Communications and Signal Processing

• Multi-modal Blind Source Separation Algorithms
• Novel Communications Techniques Using Polynomial Matrix Decompositions
• Advanced Transmit Diversity and Spatial Multiplexing Techniques for the Enhancement of Capacity and Coverage in Wireless Broadband Access Systems
• Convex Optimization Based Robust Spatial Multiplexing Techniques for Downlink Multiuser Wireless Systems

The group currently enjoys strong links with the following researchers:

• Prof. Sonia Aissa, INRS-EMT, University of Québec, Canada
• Dr. Animashree Anandkumar, MIT, USA
• Prof Andrzej Cichocki, RIKEN Brain Science Institute, Japan
• Dr. Zoran Cvetkovic, King's College, UK
• Prof. Alex Gershman, Darmstadt University of Technology, Germany
• Dr. Yulia Hicks, Cardiff University, UK
• Prof. Christian Jutten, CNRS, France
• Dr. Maria Jafari, Queen Mary, University of London, UK
• Prof. Andreas Jakobsson, Lund University, Sweden
• Dr Klaus Lucke, Forschungs- und Technologiezentrum Westküste (FTZ), Universität Kiel, Germany
• Dr. Malcolm Macleod, QinetiQ, UK
• Dr. Danilo Mandic, Imperial College, UK
• Stephen Robinson, the National Physical Laboratory, UK, (NPL)
• Dr. Saeid Sanai, Cardiff University, UK
• Prof. Ali Sayed, UCLA, USA
• Dr. Anil Shukla, QinetiQ, UK
• Dr. Nisachon Tangsangiumvisai, Chulalongkorn University, Thailand
• Dr. Clive Took, Imperial College, UK
• Dr Cenk Toker, Hacettepe University
• Dr. Wenwu Wang, University of Surrey, UK
  

We are actively involved in joint research programmes within the UK and internationally, such as Interact 6 - Building Links with India (Cognitive Wireless Systems for Universal Access).

Research monographs

• S. Sanei and J.A. Chambers, "EEG Signal Processing",  Wiley, July 2007
• D. Mandic and J.A. Chambers, "Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability", Wiley, June 2001

Selected journal papers

• L. Musavian, S. Aïssa and S. Lambotharan, “Adaptive Modulation in Spectrum-Sharing Channels Under Delay Quality of Service Constraints,” to appear in IEEE Trans.Vehicular Technology, 2011.
• Z. Xiong, R. Krishna, K. Cumanan and S. Lambotharan, “Grassmannian Beamforming and Null Space Broadcasting Protocols for Cognitive Radio Networks,” accepted for publication in IET Signal Processing, Oct. 2010.
• K. Cumanan, R. Krishna, L. Musavian and S. Lambotharan, “Joint Beamforming and User Maximization Techniques for Cognitive Radio Networks Based on Branch and Bound Method,” IEEE Trans. Wireless Communications, vol. 9, pp. 3082-92, Oct. 2010.
• L. Musavian, S. Aïssa and S. Lambotharan, “Effective Capacity for Interference and Delay Constrained Cognitive Radio Relay Channels”, IEEE Trans. Wireless Communications, vol. 9, pp. 1698-1707, May 2010.
• K. Cumanan, R. Krishna, Z. Xiong and S. Lambotharan, “Multiuser Spatial Multiplexing Techniques with Constraints on Interference Temperature for Cognitive Radio Networks,” IET Signal Processing, vol.4, pp. 666-672, Dec. 2010.
• M.Naqvi, M.Yu and J.A. Chambers, “A Multimodal Approach to Blind Source Separation of Moving Sources” IEEE Journal Selected Topics in Signal Processing Vol 4(5) pp 895-910, 2010

• J. Foster,  J.G. McWhirter, M.R.Davies, and J.A. Chambers,  “An Algorithm for Calculating the QR and Singular Value Decompositions of Polynomial Matrices”,  to appear in IEEE Trans. Signal Processing, 2010. [Collaboration with Cardiff University] 
• L. Li,  J.A. Chambers,  C. Lopes, and A. Sayed, “Distributed Estimation over an Adaptive Incremental Network based on the Affine Projection Algorithm”,  to appear in IEEE Trans. Signal Processing, 2010.  [Collaboration with UCLA, USA]
• K. Cumanan, L. Musavian, S. Lambotharan and A. Gershman, “SINR Balancing Technique for Downlink Beamforming in Cognitive Radio Networks,” to appear in IEEE Signal Processing Letters 2009.
• R. Krishna, K. Cumanan, Z. Xiong and S. Lambotharan, “A Novel Cooperative Relaying Strategy For Wireless Networks With Signal Quantization,” to appear in IEEE Trans. Vehicular Technology, 2009.
• W. Wang,  A. Cichocki, and J.A. Chambers, “A multiplicative algorithm for convolutive non-negative matrix factorization based on squared Euclidean distance”,  IEEE Trans. Signal Processing,  Vol. 57, No. 7, pp. 2858-2863, 2009. [Collaboration with University of Surrey and Riken Lab, Japan] 
• S.A. Dible, J.A. Flint and P A Lepper, “On the role of periodic structures in the lower jaw of the Atlantic Bottlenose Dolphin (Tursiops truncatus)”, IoP Bioinspiration and Biomimetics, Vol. 4, 2009, pp. 1-9.
• T. Tsalaile, R. Sameni, S. Sanei, C. Jutten, and J.A. Chambers, “Sequential Blind Source Extraction for Quasi-Periodic Signals with Time-Varying Period”,  IEEE Trans. Biomedical Engineering, Vol. 56, No. 3, pp 646- 655, 2009. [Collaboration with GIPSA-lab, Grenoble, France]
• R. Krishna, Z. Xiong and S. Lambotharan, “A Cooperative MMSE Relay Strategy for Wireless Sensor Networks,”  in IEEE Signal processing Letters, vol. 15, 2008.
• K. Nazarpour, Y. Wongsawat, S. Sanei, J.A. Chambers and S. Oraintara, “Removal of the Eye-Blink Artifacts from EEGs via STF-TS Modeling and Robust Minimum Variance Beamforming”,  IEEE Transactions Biomedical Engineering,  Vol. 55(9), pp. 2221-2231, Sept. 2008. [Collaboration with Cardiff University]
• L.-T. Ong,  M. Shikh-Bahaei, and J.A. Chambers, “Variable Rate and Variable Power MQAM System Based on Bayesian Bit Error Rate and Channel Estimation Technicques”,  IEEE Transactions Communications,  Vol. 56(2), pp. 177-182, Feb. 2008. [Collaboration with King's College]
• Y. Zhang, N. Li, J.A. Chambers,  and A.H. Sayed, “Steady state performance analysis of a variable tap-length LMS algorithm”,  IEEE Transactions Signal Processing, Vol. 56(2), pp. 839-845, Feb. 2008. [Collaboration with UCLA, USA, and Harbin Engineering University, China]
• E. Touloupis, J. A. Flint, V. A. Chouliaras, D. D. Ward, Study of the Effects of SEU-Induced Faults on a Pipeline Protected Microprocessor. IEEE Trans. Computers, Vol. 56, No. 12, 2007, pp. 1585-1596.
• C. Cheong Took,  S. Sanei, J.A. Chambers, S. Rickard, and S. Dunne, “Fractional delay estimation for blind source separation and localization of TMD joint sounds”,  IEEE Transactions Biomedical Engineering, Vol. 55(3),  pp. 949-956, July 2007.
• C. Toker,  S. Lambotharan, and J.A. Chambers, “Joint Transceiver Design for MIMO Channel Shortening”,  IEEE Transactions Signal Processing, Vol. 55, pp. 3851-3866, 2007.
• Q. Yu and S. Lambotharan, “Iterative (Turbo) Estimation and Detection Techniques for Frequency Selective Channels with Multiple Frequency Offsets,” IEEE Signal Processing Letters, April 2007.