ProSeDaMS’ 09

April 27th-28th, 2009

Carine Simon

Consejo superiorde investigaciones científicas

ProSeDaMS’ 09

Signal Processing at the UTM

S-Transform

ProSeDaMS’ 09

C. Simon, S. Ventosa, M. Schimmel, A. Heldring, J. Dañobeitia, J. Gallart and A. Mànuel, “The S-transform and its inverses: Side effects of discretizing and filtering”, IEEE Trans. Signal Process., Oct. 2007.

Signal Processing at the UTM

S-Transform

ProSeDaMS’ 09S. Ventosa, C. Simon, M. Schimmel, J. J. Danobeitia, and A. Manuel, “The S-transform from a wavelet point of view,” IEEE Trans. Signal Process., pp. 2771–2780, Jul. 2008.

Signal Processing at the UTM

S-Transform and TT-transform

ProSeDaMS’ 09

S-trans IFFTf

Signal TT(τ,t)ST(τ,f)

C. Simon, M. Schimmel, J. J. Danobeitia, “On the TT-Transform and Its Diagonal Elements”, IEEE Trans. Signal Process., pp. 5709-5712, Nov. 2008.

S-Transform and TT-transform

ProSeDaMS’ 09

Signal Processing at the UTM

ProSeDaMS’ 09

The Open Signal Processing JournalCall for Papers

Special Issue on“Signal processing applied to

marine and seismic data”

The scope of this issue will include, but is not limited to:• Wavelets and time-frequency techniques• Signal detection• Interference and noise filtering• (Semi) automatic picking• Remote sensing and sensor networks• Pattern recognition and classification• Development of new sensors and acquisition systems

Important dates:Submission: 1stOctober, 2009Peer review: 1st December 2009Final approval: 15th December 2009

ProSeDaMS’ 09

Ecofont Spranq"After Dutch holey cheese, there now is

a Dutch font with holes as well."

"After Dutch holey cheese, there now is a Dutch font with holes as well."

ProSeDaMS’ 09

Morning program Microwave, synthetic aperture

systems11h50Spatial Resolution Enhancement of SMOS Data: a deconvolution-based Approach, María Piles

Remote Sensing Laboratory, Dept. Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya, Barcelona, Spain

SMOS Barcelona Expert Centre, CMIMA, Barcelona, SpainSonar Image 12h20Scatterometer wind data processing, Marcos Portabella

Unidad de Tecnología Marina, CSIC, Barcelona, Spain

12h50Contributive processing methods integrated in a robust tool for ocean monitoring from SAR imagery, Marivi Tello

Remote Sensing Laboratory, Signal Theory and Communications Department. Universitat Politècnica de Catalunya, Barcelona,

Spain13h20Processing and Application, Enrique Coiras

S&T Department, NATO Undersea Research Center

13h50Discussions14h15Lunch break

ProSeDaMS’ 09