Communications and Signal Processing (CaSP) Group

The CaSP group focuses on the development and application of advanced signal processing techniques. Application areas include physical layer wireless communications, video, audio and acoustics, control systems and biomedical devices. Specific research topics we work on include cognitive radio, multichannel systems, wireless channel modelling, audio coding, spatial audio, blind source separation, audio quality estimation, signal enhancement, target tracking, nonlinear system identification and image processing.

People

Academic Staff

• Dr David Balduzzi (Machine learning - computational neuroscience)
• A/Prof Pawel Dmochowski (Wireless Communications)
• A/Prof Marcus Frean (Machine learning)
• Dr Christopher Hollitt (Control systems, image processing)
• Prof Bastiaan Kleijn (Signal processing & info. theory for audio & video)
• Dr John Lewis (Image processing)
• Dr Mansoor Shafi (Cognitive radio, MIMO comms, info. theory)
• A/Prof Paul Teal (Signal processing for audio, biomedical & comms)
• Prof Peter Smith (Statistical design and analysis of communication systems)

Graduate Students

• Craig Anderson Multi-Channel Audio Enhancement
• Kelson Chua Blind Source Separation
• Muhammad Ghifary Deep Learning Applied to Face Recognition
• Mona Hakami Machine Learning Applied to Quality Estimation
• Lakshmi Krishnan Acoustic Signal Processing and Convex Optimization
• Mashall Aryan Machine Learning
• Matthew O'Connor Distributed Beam Forming
• Seyed Reza Mir Alavi Distributed Blind Source Separation
• Rajiv Pratap Low Correlation codes for Sonar Systems
• Saqib Saleem Nonlinear Modeling of Cerebral Autoregulation
• Steven Van Kuyk Speech Intelligibility from an Information Theoretical Perspective
• Ganlong Wang Preprocessing Sound to Maximize the Auditory Information Throughput

Visitors

• Mozhgan Mohammadpour, Ferdowsi University of Mashhad, (2014/07-2016/06)
• Yawei Yu, Beijing University of Posts and Telecommunications (BUPT) (2016/02-2017/02)

Research

Publications

• CaSP Publications on a year-by-year basis
• Additional Material to Accompany Some Papers

Research Scholarships / Studentships

Numerous research topics are available to new graduate students. These include areas such as signal processing for sensor networks, cognitive radio systems, learning theory, and audio and video processing. More information can be found at several places:

• The ECEN postgraduate projects web page, includes other topics as well, recent.
• Our CaSP webpage on available research topics, still valid but less recently updated.

If you are interested to study at CaSP you should also look at application information for prospective students, which provides you with more general information.

Examples of Current Research Projects

• Limited Feedback in MIMO Communications
• Forward Looking Sonar
• Acoustic Study of Little Spotted Kiwi

Meetings and Talks

• Weekly meetings

Connections

Collaborators

• Callaghan Innovation, Information and Communication Technologies
• Delft University of Technology, Circuits and Systems Group
• Erlangen-Nuremberg University, Multimedia Communications and Signal Processing
• University of Canterbury, Communications Research Group
• University of Auckland, Audiology

Past Visitors

• Ján Pastirčák, Technical University of Košice, (2014/07-2015/09)
• Feng Deng, Beijing University of Technology (2013/08-2014/08)
• Prof Walter Kellermann, Univ. Erlangen-Nuremberg, von Haast Fellow (2012-2014)
• Xiaoming Li, Beijing University of Technology (2011/08-2012/08)
• Dr. Jorge Martinez, Delft University of Technology (2012/02-2012/04)
• Petko Petkov, KTH - Royal Institute of Technology (2012/01-2012/06)
• Dr. Jason McEwen, UCL (2011/08-2011/09)
• Dr. Yusuke Hioka, NTT (2010/12-2011/07)
• Gustav Henter, KTH - Royal Institute of Technology (2011/01-2011/06)
• Prof. Peter Kabal, McGill (2010/10-2010/12)
• Prof. Scott Douglas, SMU (2008/08)