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Publication details

Verlag: Springer

Ort: Berlin

Jahr: 2014

Pages: 419-442

Reihe: Lecture Notes in Computer Science

ISBN (Hardback): 9783319129754

Volle Referenz:

Zdeněk Průša, Peter L. Søndergaard, Nicki Holighaus, Christoph Wiesmeyr, Peter Balázs, "The large time-frequency analysis toolbox 2.0", in: Sound, music, and motion, Berlin, Springer, 2014

Abstrakt

The Large Time Frequency Analysis Toolbox (LTFAT) is a modern Octave/Matlab toolbox for time-frequency analysis, synthesis, coefficient manipulation and visualization. It's purpose is to serve as a tool for achieving new scientific developments as well as an educational tool. The present paper introduces main features of the second major release of the toolbox which includes: generalizations of the Gabor transform, the wavelets module, the frames framework and the real-time block processing framework.

Publication details

Verlag: Springer

Ort: Berlin

Jahr: 2014

Pages: 419-442

Reihe: Lecture Notes in Computer Science

ISBN (Hardback): 9783319129754

Volle Referenz:

Zdeněk Průša, Peter L. Søndergaard, Nicki Holighaus, Christoph Wiesmeyr, Peter Balázs, "The large time-frequency analysis toolbox 2.0", in: Sound, music, and motion, Berlin, Springer, 2014