This title sets out to show that 2-D signal analysis has its own role to play alongside signal processing and image processing. Concentrating its coverage on those 2-D signals coming from physical sensors (such as radars and sonars), the discussion explores a 2-D spectral approach but develops the modeling of 2-D signals and proposes several data-oriented analysis techniques for dealing with them. Coverage is also given to potential future developments in this area.
Rene Garello is a Professor at the Ecole Nationale Superieure des Telecommunications de Bretagne, Brest, France. He has been Head of the TIME Laboratory (Information Processing for the Ocean and the Environment) of the CNRS, France since January 2003. He is also an elected AdCom senior member of the IEEE Oceanic Engineering Society and has headed several committees related to IEEE conferences.
Chapter 1. Basic elements of 2-D signal processing (Claude Cariou, Olivier Alata and Jean-Marc Le Caillec). Chapter 2. 2-D linear stochastic modeling (Olivier Alata and Claude Cariou). Chapter 3. 2-D spectral analysis, Claude Cariou (Stephanie Rouquette and Olivier Atala). Chapter 4. 2-D signal bi-spectral analysis (Jean-Marc Le Caillec and Rene Garello). Chapter 5. 2-D signal time-frequency representation (Stephane Grassin and Rene Garello). Chapter 6. 2-D wavelet representation (Philippe Carre, Noel Richard and Christine Fernandez).