Automatic identification of digital modulation types

Signal Processing

Volumn 47, Issue 1, 1995, Pages 55-69

  Azzouz, E E ^a   Nandi, A K ^a  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

Author keywords

Digital modulation; Modulation identification; Signal classification

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; COMPUTER SIMULATION; COMPUTER SOFTWARE; PARAMETER ESTIMATION; SIGNAL TO NOISE RATIO; SPURIOUS SIGNAL NOISE;

AUTOMATIC IDENTIFICATION; COMMUNICATION INTELLIGENCE; DIGITAL MODULATION;

DIGITAL SIGNAL PROCESSING;

EID: 0029407281     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-1684(95)00099-2     Document Type: Article

References (14)

1. Sampling and algorithms aid modulation recognition
2. Sampling and algorithms aid modulation recognition
3. A general approach to the automatic classification of radiocommunication signals
4. Modulation classification based on statistical moment
5. Automatic modulation recognition of digitally modulated signals
6. Automatic modulation classification using zero-crossing
7. Signal classification using statistical moments
8. Digital modulation classification
9. Computer simulation of an automatic classification procedure for digitally modulated communication signals with unknown parameters
10. Estimation of carrier frequency, modulation type and bit rate of an unknown modulated signal
11. On the detection and classification of quadrature digital modulations in broad-band noise