TY - GEN
T1 - Compressive sensing and waveform design for the identification of linear time-varying systems
AU - Zhang, Jun
AU - Papandreou-Suppappola, Antonia
PY - 2008/9/16
Y1 - 2008/9/16
N2 - In this paper, we investigate the application of compressive sensing and waveform design for estimating linear time-varying system characteristics. Based on the fact that the spreading function system representation is sparse in realistic system scenarios, we propose a new method for the identification of narrowband, wideband and dispersive systems using a small set of measurements. Through numerical simulations, we successfully demonstrate the feasibility of using compressive sensing to estimate the system spreading function.
AB - In this paper, we investigate the application of compressive sensing and waveform design for estimating linear time-varying system characteristics. Based on the fact that the spreading function system representation is sparse in realistic system scenarios, we propose a new method for the identification of narrowband, wideband and dispersive systems using a small set of measurements. Through numerical simulations, we successfully demonstrate the feasibility of using compressive sensing to estimate the system spreading function.
KW - Compressive sensing
KW - Linear time-varying system
KW - System identification
UR - http://www.scopus.com/inward/record.url?scp=51449113725&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51449113725&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2008.4518497
DO - 10.1109/ICASSP.2008.4518497
M3 - Conference contribution
AN - SCOPUS:51449113725
SN - 1424414849
SN - 9781424414840
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3865
EP - 3868
BT - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
T2 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Y2 - 31 March 2008 through 4 April 2008
ER -