Measuring amplitude and frequency modulations in noise using multiband energy operators
- 1 January 1992
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
The statistical properties of the nonlinear energy operator Psi (s)=(ds/dt)/sup 2/-sd/sup 2//dt/sup 2/ and a related energy separation algorithm (ESA) are developed. The ESA uses Psi to demodulate noisy AM-FM signals. The performance of Psi and the ESA when applied to bandpass noisy AM-FM signals is examined. The predicted performance is found to be greatly improved if the local signal frequencies occur within the filter passband. Using this observation, a multiband energy operator and ESA approach are devised. The results suggest that greatly improved practical strategies are feasible for tracking and identifying local pattern coherencies manifested as local concentrations of signal frequencies.Keywords
This publication has 9 references indexed in Scilit:
- On a simple algorithm to calculate the 'energy' of a signalPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Conditions for positivity of an energy operatorIEEE Transactions on Signal Processing, 1994
- Multidimensional energy operator for image processingPublished by SPIE-Intl Soc Optical Eng ,1992
- Localized measurement of emergent image frequencies by Gabor waveletsIEEE Transactions on Information Theory, 1992
- On separating amplitude from frequency modulations using energy operatorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992
- Speech nonlinearities, modulations, and energy operatorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- The wavelet transform, time-frequency localization and signal analysisIEEE Transactions on Information Theory, 1990
- Multifrequency channel decompositions of images and wavelet modelsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- On a Formula for the Product-Moment Coefficient of any Order of a Normal Frequency Distribution in any Number of VariablesBiometrika, 1918