Sparse Recovery Beyond Incoherence
Categories
Events, Learning, On Campus | Alumni
Sparse recovery guarantees in compressive sensing and related optimization problems often assume incoherence between the 'sensing' and 'sparsity' domains. In practice, incoherence proper is rarely satisfied due to physical constraints and limitations. In this talk we discuss the notion of local coherence from one basis to another, and show that by matching the sampling distribution to the local coherence at hand, sparse recovery guarantees extend to a rich new class of sensing problems beyond incoherent systems. We discuss particular applications to MRI imaging, polynomial interpolation, and matrix completion problems.
© 2013 Cox Media Group. By using this website,
you accept the terms of our Visitor Agreement and Privacy Policy, and understand your options regarding Ad Choices
.
Portions of Content Provided by Rovi
Corporation. © 2013 Rovi Corporation
You're Almost Done!
Select a display name and password
{* #socialRegistrationForm *} {* socialRegistration_displayName *} {* socialRegistration_emailAddress *} {* traditionalRegistration_password *} {* traditionalRegistration_passwordConfirm *}Tell us about yourself
{* registration_firstName *} {* registration_lastName *} {* registration_postalZip *} {* registration_birthday *} {* registration_gender *} {* agreeToTerms *}