Denoising by Sparse Approximation: Error Bounds Based on Rate-Distortion Theory

Denoising by Sparse Approximation: Error Bounds Based on Rate-Distortion Theory

If a signal is known to have a sparse representation with respect to a frame, it can be estimated from a noise-corrupted observation by finding the best sparse approximation to . Removing noise in this manner depends on the frame efficiently representing the signal while it inefficiently represents...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид:	Goyal, Vivek K., Fletcher, Alyson K., Rangan, Sundeep, Ramchandran, Kannan
Бусад зохиолчид:	Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Формат:	Өгүүллэг
Хэл сонгох:	English
Хэвлэсэн:	Hindawi Publishing Corporation 2011
Онлайн хандалт:	http://hdl.handle.net/1721.1/67336

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