Signal Recovery, Restriction Theory, and Applications - Lecture 3
Hausdorff Center for Mathematics via YouTube
Become an AI & ML Engineer with Cal Poly EPaCE — IBM-Certified Training
NY State-Licensed Certificates in Design, Coding & AI — Online
Overview
Build a Learning Habit
Download Class Central's free printable study calendar
Download for Free
Explore signal recovery techniques and their connections to restriction theory in this advanced mathematics lecture. Delve into the problem of recovering a signal transmitted via its Fourier transform when certain frequencies are missing. Examine the conditions under which exact signal recovery is possible, including the Matolcsi-Szuchs and Donoho-Stark results. Discover how non-trivial restriction estimates can significantly improve recovery conditions, and learn about the application of multi-linear restriction theory to enhance recovery in multiple transmissions. Investigate the continuous aspects of the problem and understand the restriction conjecture as a signal recovery mechanism. Gain insights from the joint work of Alex Iosevich and Azita Mayeli (CUNY) in this hour-long presentation from the Hausdorff Center for Mathematics.
Syllabus
Alex Iosevich: Signal recovery, restriction theory, and applications III
Taught by
Hausdorff Center for Mathematics