Cramer-Rao lower bounds for abrupt change parameters in additive and multiplicative noise

The paper addresses the problem of determining the Cramer-Rao lower bounds for noise and abrupt change parameters, for steplike signals corrupted by multiplicative and/or additive noise. Closed-form expressions are derived for an ideal step with a known changepoint. For an unknown changepoint, the noise-free signal is modeled by a sigmoidal function parametrized by location and step rise parameters. The noise and step change CRLBs are then shown to be well approximated by the more tractable expressions derived for a known changepoint.

[1]  H. Messer,et al.  Analysis of inherent limitations in localizing step-like singularities in a continuous signal , 1996, Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96).

[2]  Ali M. Reza,et al.  Cramer-Rao lower bound on locations of sudden changes in a steplike signal , 1996, IEEE Trans. Signal Process..

[3]  Michèle Basseville,et al.  Detection of abrupt changes: theory and application , 1993 .

[4]  Jean-Yves Tourneret Detection and estimation of abrupt changes contaminated by multiplicative Gaussian noise , 1998, Signal Process..

[5]  A. Swami,et al.  Step-change localization in additive and multiplicative noise via multiscale products , 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).

[6]  M. Melamed Detection , 2021, SETI: Astronomy as a Contact Sport.

[7]  Steven Kay,et al.  Modern Spectral Estimation: Theory and Application , 1988 .

[8]  Brian M. Sadler,et al.  Cramer-Rao bounds for step-change localization in additive and multiplicative noise , 1998, Ninth IEEE Signal Processing Workshop on Statistical Signal and Array Processing (Cat. No.98TH8381).

[9]  Speckle Models On Detecting Edges in Speckle Imagery , 1988 .

[10]  Brian M. Sadler,et al.  Analysis of Multiscale Products for Step Detection and Estimation , 1999, IEEE Trans. Inf. Theory.

[11]  S. Quegan,et al.  Understanding Synthetic Aperture Radar Images , 1998 .