Title :
Maximum-Likelihood Power Estimation for Clipped Signals
Author_Institution :
SiBEAM, Sunnyvale, CA
fDate :
7/1/2009 12:00:00 AM
Abstract :
When a signal is highly saturated and clipped by an analog-to-digital converter, the maximum-likelihood power estimator for the clipped signal is derived analytically for Gaussian-distributed input signal. The estimator error is also found numerically by simulation. The power estimator may find its applications in automatic gain control.
Keywords :
analogue-digital conversion; maximum likelihood estimation; signal processing; Gaussian-distributed input signal; analog-to-digital converter; automatic gain control; clipped signals; maximum-likelihood power estimation; Automatic gain control; power estimation; signal clipping;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2009.2020855
