10 search results - page 1 / 2 » Multiple frequency-hopping signal estimation via sparse regr... |
TSP
2010
13 years 29 days ago
2010
Abstract--Frequency hopping (FH) signals have well-documented merits for commercial and military applications due to their near-far resistance and robustness to jamming. Estimating...
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
Frequency hopping (FH) signals have well-documented merits for commercial and military applications due to their near-far resistance and robustness to jamming. Estimating FH signa...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
The least-absolute shrinkage and selection operator (Lasso) is a popular tool for joint estimation and continuous variable selection, especially well-suited for the under-determin...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
We introduce the Multiplicative Update Selector and Estimator (MUSE) algorithm for sparse approximation in underdetermined linear regression problems. Given f = Φα∗ + µ, the ...