Paper Info
Title
Improved Spectrum-Blind Reconstruction Of Multi-Band Signals
Abstract
This paper considers spectrum-blind reconstruction (SBR) of multi-band signals (MBS) which are sampled with multi-coset sampling (MCS) architecture, A new SBR algorithm which we refer to as Khatri-Rao SBR (KR-SBR) is presented. With this new KR-SBR algorithm, the average MCS rate can be reduced by 50% whilst attaining the same performance as that of the existing state-of-art SBR algorithms. Under certain conditions we will also show that the proposed KR-SBR algorithm has the capacity to achieve SBR when the average MCS rate approaches the Landau sampling rate. Simulation results are also presented to demonstrate the advantages of the proposed KR-SBR algorithm.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6638706
2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
Keywords
Field
DocType
Multiband sampling, Landau sampling rate, Multicoset sampling, Khatri-Rao product
Mathematical optimization,Multi band,Computer science,Sampling (signal processing),Sampling (statistics),Signal reconstruction
Conference
ISSN
Citations 
PageRank 
1520-6149
2
0.43
References 
Authors
6
3
Name
Order
Citations
PageRank
A. Anil Kumar191.97
Sirajudeen Gulam Razul29614.41
Chong Meng Samson See317519.41