255 search results - page 1 / 51 » Sampling Sparse Signals on the Sphere: Algorithms and Applic... |
TSP
2010
12 years 11 months ago
2010
We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...
ICASSP
2008
IEEE
13 years 10 months ago
2008
IEEE
Classical sampling records the signal level at pre-determined time instances, usually uniformly spaced. An alternative implicit sampling model is to record the timing of pre-deter...
CISS
2010
IEEE
12 years 8 months ago
2010
IEEE
Abstract—Compressive sampling (CS) has emerged as significant signal processing framework to acquire and reconstruct sparse signals at rates significantly below the Nyquist rate...
CISS
2008
IEEE
13 years 10 months ago
2008
IEEE
Abstract—Compressive sensing is a new signal acquisition technology with the potential to reduce the number of measurements required to acquire signals that are sparse or compres...
TSP
2008
13 years 4 months ago
2008
One of the fundamental assumptions in traditional sampling theorems is that the signals to be sampled come from a single vector space (e.g. bandlimited functions). However, in many...