Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Signal Recovery, Restriction Theory, and Applications - Lecture 4

Hausdorff Center for Mathematics via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore signal recovery and restriction theory in this 58-minute lecture by Alex Iosevich from the Hausdorff Center for Mathematics. 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 theorems. 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 continuous aspects of the problem and understand the restriction conjecture as a signal recovery mechanism. Gain insights from joint work with Azita Mayeli (CUNY) on this advanced topic in mathematical signal processing and harmonic analysis.

Syllabus

Alex Iosevich: Signal recovery, restriction theory, and applications IV

Taught by

Hausdorff Center for Mathematics

Reviews

Start your review of Signal Recovery, Restriction Theory, and Applications - Lecture 4

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.