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IEEE Signal Processing Society Lecture - Compressive Sensing and Sparse Modulations

2 July 2012

Dr Robert Piechocki of the Communication Systems & Networks Group in the Centre for Communications Research (CCR) at the University of Bristol gave an invited IEEE Signal Processing Society Lecture to the Centre for Advanced Systems and Technologies in Communications (SYTACom) on the 20th June 2012. 

SYTACom is the largest communications research centre in Canada and consists of researchers from 10 Quebec Universities (Including: McGill, Concordia, INRS, Laval, Sherbrooke).

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The lecture ‘Compressive Sensing and Sparse Modulations for Communications Systems’ showed how sparse modelling and compressive sensing can influence the design of energy efficient signalling waveforms in communications systems.

Compressed Sensing (CS) is a revolutionary measurement paradigm for sampling of high-dimensional signals. The CS theory shows that only a small number of random measurements of an unknown sparse high-dimensional signal contains sufficient information to recover the entire signal, and remarkably, the signal recovery is a computationally tractable problem. CS was recently identified by the “Wired Magazine” as one of the most important topics in applied mathematics.

In his lecture Dr Piechocki presented a new type of modulation and multiplexing method: Combinatorial Channel Signature Modulation (CCSM) which facilitates highly efficient and simultaneous communication between multiple terminals in wireless systems. The technique is particularly effective in situations where communicating nodes operate in highly time dispersive environments. The new method allows all users to transmit and receive at the same time/frequency (full simultaneous duplex).

CCSM significantly improves the performance and energy usage when compared to currently available solutions for applications such as wireless ad hoc networks and wireless sensor networks.