Abonnement à la biblothèque: Guest
Portail numérique Bibliothèque numérique eBooks Revues Références et comptes rendus Collections
Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Imprimer: 0040-2508
ISSN En ligne: 1943-6009

Volumes:
Volume 78, 2019 Volume 77, 2018 Volume 76, 2017 Volume 75, 2016 Volume 74, 2015 Volume 73, 2014 Volume 72, 2013 Volume 71, 2012 Volume 70, 2011 Volume 69, 2010 Volume 68, 2009 Volume 67, 2008 Volume 66, 2007 Volume 65, 2006 Volume 64, 2005 Volume 63, 2005 Volume 62, 2004 Volume 61, 2004 Volume 60, 2003 Volume 59, 2003 Volume 58, 2002 Volume 57, 2002 Volume 56, 2001 Volume 55, 2001 Volume 54, 2000 Volume 53, 1999 Volume 52, 1998 Volume 51, 1997

Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v71.i5.50
pages 435-443

USE OF SPECTRAL IMAGES FOR SIGNAL ANALYSIS

Ivan S. Zakharov
Kursk State Technical University, Kursk, Russian Federation
A. F. Rybochkin
Kursk State Technical University, Kursk, Russian Federation
S. V. Pravednikova
Kursk State Technical University, Kursk, Russian Federation

RÉSUMÉ

Analysis of an acoustic signal by a relative comparison of different intensive components, obtained from narrow-band frequency filters, is presented. Intensive signal components from n narrow-band frequency filters are detected and then associatively compared in a unit of comparators. Cn2 binary codes, reflecting spectral images (shapes) or n! rearrangements, are generated at this unit outputs. The method can be used for compression of multidigit binary codes into two-digit symbols, correspondent to rearrangements being spectral image analogues, which can be easily transformed back to binary codes. The possibility of building relatively cheap diagnosis systems for recognition of the diagnosed object state is considered. A program that calculates spectral image levels from the obtained code messages and identifies codes for a given number of spectral image levels is developed.

RÉFÉRENCES

  1. Kostrikin, A. I., Introduction to Algebra. Algebra Bases.

  2. Rybochkin, A. F., Method of Defining Informative Frequency Bands of an Acoustic Signal of Bee Families for Recognition of Their States.

  3. Rybochkin, A. F., Dreizin, V. E., Zakharov, I. S., Dremov, B. B., and Kutozov, A. A., Method and Device for Diagnosing the State of Bee Families by The Acoustic Noise.


Articles with similar content:

CLASSIFICATION OF MOVING GROUND RADAR OBJECTS BY USING BISPECTRUM-BASED FEATURES
Telecommunications and Radio Engineering, Vol.74, 2015, issue 6
P.O. Molchanov, A. V. Totsky, J. T. Astola, Karen O. Egiazarian
ADAPTIVE JPEG LOSSY COMPRESSION OF COLOR IMAGES
Telecommunications and Radio Engineering, Vol.70, 2011, issue 15
L. Lepisto , N. N. Ponomarenko, V. V. Lukin, Karen O. Egiazarian
SYNTHESIS OF TRANSFER FUNCTIONS IN PHASE DEVICES FOR PROCESSING CHIRP SIGNALS WITH DIFFERENT FREQUENCY RATIOS
Telecommunications and Radio Engineering, Vol.72, 2013, issue 12
B. F. Zmii, A. V. Ananiev
Digital Processing of Broadband Portraits in a Detection-Recognition Filter System
Telecommunications and Radio Engineering, Vol.54, 2000, issue 8-9
V. Ya. Bashkevich, V. I. Kurlovich, S. V. Shalyapin
FEATURES OF CONSTRUCTION AND APPLICATION OF COMPLEX SYSTEMS FOR THE ATMOSPHERE REMOTE SOUNDING
Telecommunications and Radio Engineering, Vol.76, 2017, issue 8
V. M. Kartashov, V. A. Tikhonov, V. V. Voronin