Energy separation in signal modulations with application to speech analysis

DOI10.1109/78.277799zbMath0800.94135OpenAlexW2114537326MaRDI QIDQ4276684

Petros Maragos, Thomas F. Jun. Quatieri, James F. Kaiser

Publication date: 7 February 1994

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/78.277799

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Modulation and demodulation in information and communication theory (94A14)

Related Items (11)

Improvement of empirical mode decomposition under low sampling rate ⋮ A new class of multi-dimensional Teager-Kaiser and higher order operators based on directional derivatives ⋮ An iterative approach for decomposition of multi-component non-stationary signals based on eigenvalue decomposition of the Hankel matrix ⋮ Monaural speech/music source separation using discrete energy separation algorithm ⋮ A discrete-time algorithm for stiffness extraction from sEMG and its application in antidisturbance teleoperation ⋮ Pre-filtered phase-locking scheme for multi-component AM-FM signal decomposition ⋮ On close relationship between classical time-dependent harmonic oscillator and non-relativistic quantum mechanics in one dimension ⋮ Multi-dimensional higher order differential operators derived from the Teager-Kaiser energy-tracking function ⋮ BEARING FAULT DETECTION AND DIAGNOSIS BASED ON TEAGER–HUANG TRANSFORM ⋮ CHAOTIC DETECTOR FOR BPSK SIGNALS IN VERY LOW SNR CONDITIONS ⋮ Learnable Empirical Mode Decomposition based on Mathematical Morphology

This page was built for publication: Energy separation in signal modulations with application to speech analysis