Projects per year
not been investigated yet for the discrete multi-coset sampling. We compare the following algorithms – orthogonal matching pursuit, multiple signal classification, subspace-augmented multiple signal classification, focal under-determined system solver and basis pursuit denoising. The comparison is performed via numerical simulations for different sampling conditions. According to the simulations, focal under-determined system solver outperforms all other algorithms for signals with low signal-to-noise ratio. In other cases, the multiple signal classification algorithm is more beneficial.
|Title of host publication||Proceedings of the 12th IEEE International Symposium on Signal Processing and Information Technology|
|Number of pages||6|
|Publication status||Published - 2012|
|Event||IEEE International Symposium on Signal Processing and Information Technology - Ho Chi Minh City, Viet Nam|
Duration: 12 Dec 2012 → 15 Dec 2012
|Conference||IEEE International Symposium on Signal Processing and Information Technology|
|City||Ho Chi Minh City|
|Period||12/12/2012 → 15/12/2012|
Grigoryan, R. & Larsen, T.
01/12/2010 → 30/11/2013