title: Dynamic description of stochastic signal by adaptive momentary power and momentary frequency estimation and its application in analysis of biological signals.
abstract: The importance of dynamic spectral analysis of time-varying signals in medicine, biology and technology is increasing rapidly. The basic spectral parameters are momentary power and momentary frequency. The paper presents adaptive recursive estimation methods for these spectral parameters. Their specific properties are investigated, and the possibilities of applications in computer-assisted analysis of biological and technical signals are demonstrated, even satisfying real-time requirements.
authors.affiliation: Institute of Medical Statistics, Computer Science & Documentation, Friedrich Schiller University of Jena, Germany.
authors.forename: G
authors.initials: G
authors.lastname: Grieszbach
authors.forename: B
authors.initials: B
authors.lastname: Schack
authors.forename: P
authors.initials: P
authors.lastname: Putsche
authors.forename: E
authors.initials: E
authors.lastname: Bareshova
authors.forename: J
authors.initials: J
authors.lastname: Bolten
mesh_terms: D000465:Algorithms; D004576:Electromyography / Q000379:methods; D006801:Humans; D008406:Masseter Muscle / Q000502:physiology; D008991:Monitoring, Physiologic / Q000379:methods*; D012815:Signal Processing, Computer-Assisted