3 search results - page 1 / 1 » Robust nonparametric regression by controlling sparsity |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
ICASSP
2010
IEEE
13 years 4 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 8 months ago
2011
IEEE
The recent upsurge of research toward compressive sampling and parsimonious signal representations hinges on signals being sparse, either naturally, or, after projecting them on a...