Performance bounds for parameter estimation under misspecified models: Fundamental findings and applications

Stefano Fortunati, Fulvio Gini, Maria S. Greco, Christ Richmond

Research output: Contribution to journalArticle

23 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number8103120
Pages (from-to)142-157
Number of pages16
JournalIEEE Signal Processing Magazine
Volume34
Issue number6
DOIs
StatePublished - Nov 1 2017

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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