Accession Number:

ADA243457

Title:

New Algorithms for Broad-Band and Narrowband Source Localization and a Separable 2-D IIR Filter Realization

Descriptive Note:

Final rept. 1 Apr 89-30 Jun 91,

Corporate Author:

WRIGHT STATE UNIV DAYTON OH DEPT OF ELECTRICAL ENGINEERING

Personal Author(s):

Report Date:

1991-09-30

Pagination or Media Count:

128.0

Abstract:

1 Optimal Design of ARMA IIR filters with arbitrary number of poles and zeros from Impulse Response Data has been developed. The general criterion derived in this report has never been found before. 2 Optimal synthesis of two dimensional IIR filters using one dimensional modules have been developed. 3 Optimal design of a class of two dimensional IIR filters from spatial domain data has been developed. 4 Optimal identification of Multivariable systems from Impulse response data is given. 5 A Periodogram- based Maximum Likelihood estimator of Narrowband frequencies requiring only off the shelf hardwaresoftware has been developed. 6 A faster Simulated-Annealing method has been developed and applied to frequency estimation. 7 A coherent one-step angles of arrival estimator of multiple broadband sources has been developed. Existing coherent techniques can not localize well separated sources in one step. 8 An Order-Recursive approach has been given for AR-Bispectrum estimation. 9 A Time-Delay-Neural Network has been trained with LPC coefficients for PhonemeVowel recognition. 10 Parametric Non-linear prediction algorithms have been introduced for the first time for speech predictionsynthesiscoding.

Descriptors:

Subject Categories:

  • Electrical and Electronic Equipment
  • Electricity and Magnetism

Distribution Statement:

APPROVED FOR PUBLIC RELEASE


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