35 search results - page 7 / 7 » Sparse approximation property and stable recovery of sparse ... |
CORR
2012
Springer
12 years 22 days ago
2012
Springer
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
The aim of compressed sensing is to recover attributes of sparse signals using very few measurements. Given an overall bit budget for quantization, this paper demonstrates that th...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
SIGPRO
2010
13 years 3 months ago
2010
The recovery of signal parameters from noisy sampled data is a fundamental problem in digital signal processing. In this paper, we consider the following spectral analysis problem...