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» Sparsity in time-frequency representations
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CORR
2010
Springer
128views Education» more  CORR 2010»
14 years 9 months ago
Blind Compressed Sensing
The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measuremen...
Sivan Gleichman, Yonina C. Eldar
ICASSP
2008
IEEE
15 years 4 months ago
Time-frequency localization from sparsity constraints
In the case of multicomponent AM-FM signals, the idealized representation which consists of weighted trajectories on the time-frequency (TF) plane, is intrinsically sparse. Recent...
Pierre Borgnat, Patrick Flandrin
TSP
2010
14 years 4 months ago
Double sparsity: learning sparse dictionaries for sparse signal approximation
Abstract--An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a sparsity model of ...
Ron Rubinstein, Michael Zibulevsky, Michael Elad
CORR
2008
Springer
102views Education» more  CORR 2008»
14 years 9 months ago
On some deterministic dictionaries supporting sparsity
We describe a new construction of an incoherent dictionary, referred to as the oscillator dictionary, which is based on considerations in the representation theory of finite groups...
Shamgar Gurevich, Ronny Hadani, Nir A. Sochen
ICRA
2005
IEEE
114views Robotics» more  ICRA 2005»
15 years 3 months ago
A Proof for the Approximate Sparsity of SLAM Information Matrices
— For the Simultaneous Localization and Mapping problem several efficient algorithms have been proposed that make use of a sparse information matrix representation (e.g. SEIF, T...
Udo Frese