SIGNAL CHARACTERIZATION AND PRE-PROCESSING USING TUFT'S AND TEAGER'S ALGORITHMS

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Authors
  1. Swingler, D.N.
Corporate Authors
Defence Research Establishment Atlantic, Dartmouth NS (CAN);Saint Mary's Univ, Halifax NS (CAN) Div of Engineering
Abstract
This report looks first at Tuft's method for identifying the parameters of a transient having an exponential shape. The approach is based on a singular-value decomposition (SVD) of a data matrix formed from the available data segment and is claimed to have improved behaviour relative to simpler approaches, one of which is based on the SVD of a Toeplitzed version of the same data matrix. The results presented here suggest that the extra computational effort inherent in Tuft's method is not worthwhile in terms of performance gain. One of the alternative approaches has interesting similarities to DREA's APEX/ALPINEX technique and the two methods are compared in some detail. The second major area investigated involves the use of Teager's so-called energy operator in demodulating waveforms having simultaneously both amplitude and frequency modulation. For a single signal, the results indicate that the approach is both viable and computationally efficient. Additionally, it is demonstrated that the method, though not originally envisaged for the purpose, may also be usefully employed in a multi-signal environment.
Keywords
SINGULAR VALUE DECOMPOSITION;ENERGY OPERATORS;TRANSIENTS;TUFT'S ALGORITHM;TEAGER'S ALGORITHM;DATA MATRIX;APEX/ALPINEX TECHNIQUE
Report Number
DREA-CR-95-401 — Contractor Report
Date of publication
01 Jun 1994
Number of Pages
56
DSTKIM No
95-04714
CANDIS No
152715
Format(s):
Document Image stored on Optical Disk;Hardcopy

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