On separating amplitude from frequency modulations using energy operators

To estimate the amplitude envelope and instantaneous frequency of an AM-FM signal the authors developed a novel approach that uses nonlinear combinations of instantaneous signal outputs from an energy-tracking operator to separate its output energy product into its amplitude modulation and frequency modulation components. This energy separation algorithm is then applied to search for modulations in speech resonances, which the authors model using AM-FM signals. The theoretical and experimental results demonstrate that the energy separation algorithm, due to its low computational complexity and instantaneously adapting nature, is very useful in detecting modulation patterns in speech and other time-varying signals