Picture of flying drone

Award-winning sensor signal processing research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers involved in award-winning research into technology for detecting drones. - but also other internationally significant research from within the Department of Electronic & Electrical Engineering.

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Performance evaluation of raptor and random linear codes for H.264/AVC video transmission over DVB-H networks

Nazir, S. and Vukobratovic, D. and Stankovic, V. (2011) Performance evaluation of raptor and random linear codes for H.264/AVC video transmission over DVB-H networks. In: 2011 IEEE International conference on acoustics,speech and signal processing. IEEE, pp. 2328-2331. ISBN 9781457705397

Full text not available in this repository. (Request a copy from the Strathclyde author)


Application Layer Forward Error Correction (AL)-FEC is increasingly being employed in the emerging wireless multimedia applications, where the multimedia data is sent along with repair data that can be used at the receiver to recover any losses. Raptor codes and Random Linear Codes (RLC) have emerged as promising rateless coding solutions. The DVB-H standard has adopted Raptor codes for IP datacasting, whereas for real-time communications, Reed-Solomon (RS) codes are used as link-layer FEC. This study compares the performance of Raptor codes and RLC for sending the H. 264/AVC compressed video traffic over the DVB-H network. The simulations are performed using error traces depicting physical-layer Transport Stream (TS) packet losses in DVB-H. The study highlights the possibility of using RLC for the AL-FEC by selectively configuring codes for optimum performance.