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 language | English (US) |
|---|---|
| Article number | 8103120 |
| Pages (from-to) | 142-157 |
| Number of pages | 16 |
| Journal | IEEE Signal Processing Magazine |
| Volume | 34 |
| Issue number | 6 |
| DOIs | |
| State | Published - Nov 1 2017 |
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Applied Mathematics
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Fortunati, S., Gini, F., Greco, M. S., & Richmond, C. (2017). Performance bounds for parameter estimation under misspecified models: Fundamental findings and applications. IEEE Signal Processing Magazine, 34(6), 142-157. [8103120]. https://doi.org/10.1109/MSP.2017.2738017