Signal Estimation from Short-Time Spectral Magnitude.

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)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1982
Accession Number
ADA119528

Entities

People

  • Syed Hamid Nawab

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Coding
  • Computational Complexity
  • Computer Programming
  • Electrical Engineering
  • Frequency
  • Information Science
  • Noise Reduction
  • Signal Processing
  • Standards
  • Stationary Processes
  • Stochastic Processes
  • Time Compression
  • Time Domain
  • Time Signals
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Seismology
  • Speech Processing/Speech Recognition.
  • Statistical inference.