61 search results - page 6 / 13 » Compressive spectral estimation for nonstationary random pro... |
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Compressive Sensing (CS) is an emerging area which uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compres...
73
Voted
SCALESPACE
2007
Springer
15 years 3 months ago
2007
Springer
This paper proposes an extension of compressed sensing that allows to express the sparsity prior in a dictionary of bases. This enables the use of the random sampling strategy of c...
70
Voted
AAAI
2007
15 years 21 hour ago
2007
A new spectral approach to value function approximation has recently been proposed to automatically construct basis functions from samples. Global basis functions called proto-val...
ICIP
2007
IEEE
15 years 11 months ago
2007
IEEE
Remote navigation in image-based scene representations requires random access to parts of the compressed reference image data to compose virtual views. The degree of dependencies ...
89
Voted
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...