New Trends in Applied Harmonic Analysis, Volume 2 Harmonic Analysis, Geometric Measure Theory, and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Aldroubi, Akram (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Cabrelli, Carlos (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Jaffard, Stéphane (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Molter, Ursula (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Birkhäuser, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Applied and Numerical Harmonic Analysis,
• Θέματα: Fourier analysis.; Harmonic analysis.; Measure theory.; Signal processing.; Image processing.; Speech processing systems.; Computer science-Mathematics.; Computer mathematics.; Fourier Analysis.; Abstract Harmonic Analysis.; Measure and Integration.; Signal, Image and Speech Processing.; Mathematical Applications in Computer Science.
• Φυσική περιγραφή: XX, 321 p. 29 illus., 4 illus. in color. online resource.
• ISBN: 9783030323530
• ISSN: 2296-5009
• DOI: 10.1007/978-3-030-32353-0

This contributed volume collects papers based on courses and talks given at the 2017 CIMPA school Harmonic Analysis, Geometric Measure Theory and Applications, which took place at the University of Buenos Aires in August 2017. These articles highlight recent breakthroughs in both harmonic analysis and geometric measure theory, particularly focusing on their impact on image and signal processing. The wide range of expertise present in these articles will help readers contextualize how these breakthroughs have been instrumental in resolving deep theoretical problems. Some topics covered include: Gabor frames Falconer distance problem Hausdorff dimension Sparse inequalities Fractional Brownian motion Fourier analysis in geometric measure theory This volume is ideal for applied and pure mathematicians interested in the areas of image and signal processing. Electrical engineers and statisticians studying these fields will also find this to be a valuable resource.