Title :
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
fDate :
Oct. 30 1995-Nov. 1 1995
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;
Conference_Titel :
Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7370-2
DOI :
10.1109/ACSSC.1995.540557
