TY - JOUR
T1 - Performance bounds for parameter estimation under misspecified models
T2 - Fundamental findings and applications
AU - Fortunati, Stefano
AU - Gini, Fulvio
AU - Greco, Maria S.
AU - Richmond, Christ
N1 - Funding Information:
The work of Stefano Fortunati has been partially supported by the Air Force Office of Scientific Research under award number FA9550-17-1-0065.
Publisher Copyright:
© 1991-2012 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2017/11
Y1 - 2017/11
N2 - Inferring information from a set of acquired data is the main objective of any signal processing (SP) method. The common problem of estimating the value of a vector of parameters from a set of noisy measurements is at the core of a plethora of scientific and technological advances in recent decades, including wireless communications, radar and sonar, biomedicine, image processing, and seismology.
AB - Inferring information from a set of acquired data is the main objective of any signal processing (SP) method. The common problem of estimating the value of a vector of parameters from a set of noisy measurements is at the core of a plethora of scientific and technological advances in recent decades, including wireless communications, radar and sonar, biomedicine, image processing, and seismology.
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U2 - 10.1109/MSP.2017.2738017
DO - 10.1109/MSP.2017.2738017
M3 - Article
AN - SCOPUS:85040313722
VL - 34
SP - 142
EP - 157
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
SN - 1053-5888
IS - 6
M1 - 8103120
ER -