Accurate Representation of Time-Varying Signals Using Mixed Transforms with Applications to Speech

Wasfy B. Mikhael, Andreas S. Spanias

Research output: Contribution to journalArticle

18 Scopus citations

Abstract

An approach that uses mixed partial sets of basis functions is proposed for time-varying signal representation. Basis functions from two transforms are used, namely, the discrete Fourier transform (DFT) and the Walsh-Hadamard transform (WHT). An iterative algorithm is developed to implement the mixed representation. A finite number of DFT components, either fixed or variable, is used to represent the selective (narrowband) dominant spectrum of the signal on a frame-by-frame basis. The whitened (broadband) residual signal is represented using a small number of Walsh components. The mixed partial sets are applied to speech representation. Preliminary results and informal listenings using this model produced good quality speech.

Original languageEnglish (US)
Pages (from-to)329-331
Number of pages3
JournalIEEE transactions on circuits and systems
Volume36
Issue number2
DOIs
StatePublished - Feb 1989
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)

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