Accession Number : ADA119528

Title :   Signal Estimation from Short-Time Spectral Magnitude.

Descriptive Note : Technical rept.,

Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE RESEARCH LAB OF ELECTRONICS

Personal Author(s) : Nawab,Syed Hamid

PDF Url : ADA119528

Report Date : May 1982

Pagination or Media Count : 95

Abstract : This thesis shows that in many practical situations the processing of a discrete-time signal can be accomplished using only the magnitude of its short-time spectrum. Mild restrictions on the signal and on the analysis window of the short-time spectrum are shown to be sufficient for unique signal representation with the short-time spectral magnitude. Furthermore, various algorithms are developed which reconstruct the signal from appropriate samples of the short-time spectral magnitude. Some of these algorithms are designed to obtain signal estimates from the processed short-time spectral magnitude, which generally does not have a valid short-time structure. These algorithms are successfully applied to the time-scale modification and noise reduction problems in speech processing. However, the results presented here have similar potential for other application areas, including those with multidimensional signals. (Author)

Descriptors :   *Estimates, *Signals, *Noise reduction, Spectra, Processing, Short range(Time), Algorithms, Structures, Discrete distribution, Speech, Theses

Subject Categories : Theoretical Mathematics
      Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE