Title :
Morphological correlation and mean absolute error criteria
Author_Institution :
Div. of Appl. Sci., Harvard Univ., Cambridge, MA, USA
Abstract :
The mean absolute error criterion for signal detection and matching is linked with a morphological signal correlation (a sum of minima). Several properties of this nonlinear correlation are investigated, its performance for signal detection is compared with that of the classical (sum of products) linear correlation, and its statistical form is calculated for speckle patterns
Keywords :
correlation theory; signal detection; linear correlation; mean absolute error; morphological signal correlation; nonlinear correlation; signal detection; signal matching; speckle patterns; statistical form; sum of minima; sum of products; Additive noise; Filtering; Gaussian noise; Joining processes; Matched filters; Noise robustness; Nonlinear filters; Signal detection; Speckle; Speech;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266742
