Feature extraction from digital communication signals using wavelet transforms

Author

Hippenstiel, Ralph D. ; Fargues, Monique P.

Author_Institution

ECE Dept., Naval Postgraduate Sch., Monterey, CA, USA

Volume

1

fYear

1995

fDate

Oct. 30 1995-Nov. 1 1995

Firstpage

285

Abstract

Proportional bandwidth processing and wavelet transforms are applied to extract transient features from digital communication signals. Switching times of noisy BPSK, QPSK, FSK, and ASK signals are detected. The scalogram based on a variety of wavelet functions is used to detect the switching times above a threshold signal to noise ratio. Classical wavelets, proportional bandwidth processing schemes and the Morlet wavelet transform are applied.

Keywords

feature extraction; ASK signals; BPSK signals; FSK signals; Morlet wavelet transform; QPSK signals; classical wavelets; digital communication signals; feature extraction; noisy signals; proportional bandwidth processing; scalogram; switching times; threshold signal to noise ratio; transient features; wavelet functions; wavelet transforms; Amplitude shift keying; Bandwidth; Binary phase shift keying; Communication switching; Digital communication; Feature extraction; Frequency shift keying; Quadrature phase shift keying; Signal processing; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-7370-2

Type

conf

DOI

10.1109/ACSSC.1995.540557

Filename

540557