TY - GEN
T1 - Simultaneous detection and frequency estimation of sinusoidal signals
AU - Djuric, Petar M.
N1 - Publisher Copyright:
© 1993 IEEE
PY - 1993
Y1 - 1993
N2 - A novel Bayesian approach to detection-estimation of complex sinusoids and their frequencies is proposed. Based on Bayesian predictive densities, an objective function is derived whose minimization yields the ‘optimal’ number of sinusoids and the estimates of their frequencies. This function is similar in form to the well known MDL and AIC criteria in the sense that it also consists of data and penalty terms. The minimization of the data term provides the frequency estimates, and the overall minimization yields the detected number of sinusoids. The simulation results show excellent performance.
AB - A novel Bayesian approach to detection-estimation of complex sinusoids and their frequencies is proposed. Based on Bayesian predictive densities, an objective function is derived whose minimization yields the ‘optimal’ number of sinusoids and the estimates of their frequencies. This function is similar in form to the well known MDL and AIC criteria in the sense that it also consists of data and penalty terms. The minimization of the data term provides the frequency estimates, and the overall minimization yields the detected number of sinusoids. The simulation results show excellent performance.
UR - https://www.scopus.com/pages/publications/0346099079
U2 - 10.1109/ICASSP.1993.319592
DO - 10.1109/ICASSP.1993.319592
M3 - Conference contribution
AN - SCOPUS:0346099079
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 53
EP - 56
BT - IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1993
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1993
Y2 - 27 April 1993 through 30 April 1993
ER -