DocumentCode
178089
Title
Cramér-rao bound for sampling & reconstruction of FRI signals
Author
Angierski, Andre ; Kuehn, Volker
Author_Institution
Insitute of Communicatons Eng., Univ. of Rostock, Rostock, Germany
fYear
2014
fDate
4-9 May 2014
Firstpage
1793
Lastpage
1797
Abstract
This paper analyses the estimation process for Finite Rate of Innovation (FRI) signals. The main contribution is the derivation of the well known Cramér-Rao Bound (CRB) for the estimation of signal parameters for a pulse stream. Other publications consider the estimation of the signal instead of its parameters or omit the effect of sampling. In this contribution both effect are considered and analytical expressions for the Fisher Information Matrix are obtained. Furthermore, for the estimation of parameters of a single pulse analytical expressions for CRB are given and for the case of multiple pulses dependencies of the CRB of the distance between the pulses are illustrated.
Keywords
estimation theory; matrix algebra; signal reconstruction; signal sampling; CRB; Cramer-rao bound; FRI signal reconstruction; FRI signal sampling; estimation process; finite rate of innovation; fisher information matrix; pulse stream; signal parameters; single pulse analytical expressions; AWGN; Bandwidth; Estimation; Kernel; Reliability; Technological innovation; CRB; CRLB; Cramér-Rao Bound; FRI; Finite Rate of Innovation; minimum error variance; spectral estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location
Florence
Type
conf
DOI
10.1109/ICASSP.2014.6853907
Filename
6853907
Link To Document