TY - GEN
T1 - Bayesian detection of transient signals in colored noise
AU - Huang, Yufei
AU - Djuric, P. M.
N1 - Publisher Copyright:
© 2000 IEEE.
PY - 2000
Y1 - 2000
N2 - The problem of detecting transient signals in colored noise is addressed. The generalized likelihood ratio test fails to provide good performance, and as an alternative, a Bayesian approach is proposed. Its implementation is simplified by adopting an invariant transformation, and a sequential Monte Carlo sampling procedure is provided to compute multidimensional integrations. The simulation results demonstrate the ability of this approach to detect weak and fast decaying signals in colored noise.
AB - The problem of detecting transient signals in colored noise is addressed. The generalized likelihood ratio test fails to provide good performance, and as an alternative, a Bayesian approach is proposed. Its implementation is simplified by adopting an invariant transformation, and a sequential Monte Carlo sampling procedure is provided to compute multidimensional integrations. The simulation results demonstrate the ability of this approach to detect weak and fast decaying signals in colored noise.
UR - https://www.scopus.com/pages/publications/0033692896
U2 - 10.1109/ICASSP.2000.859062
DO - 10.1109/ICASSP.2000.859062
M3 - Conference contribution
AN - SCOPUS:0033692896
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 725
EP - 728
BT - Signal Processing Theory and Methods IIAudio and ElectroacusticsSpeech Processing I
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
Y2 - 5 June 2000 through 9 June 2000
ER -