Improved noise characteristics of a SAW artificial neural network RF signal processor for modulation recognition

Proceedings of the IEEE Ultrasonics Symposium

Volumn 1, Issue , 2001, Pages 19-22

  Kavalov, D ^a   Kalinin, V ^a  

^a OXFORD BROOKES UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC SURFACE WAVE FILTERS; COMPUTER SIMULATION; ELECTRIC NETWORK TOPOLOGY; MODULATION; NEURAL NETWORKS; PROBABILITY; SIGNAL TO NOISE RATIO; WHITE NOISE;

APODIZATION FUNCTIONS; MODIFIED MODULATION CLASSIFIERS; MODULATION RECOGNITION; TWO SIGNAL CLASSIFIERS;

ALGORITHMS;

EID: 0035728860     PISSN: 10510117     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. On the detection and classification of quadrature digital modulation in broad-band noise
2. A testbench for automatic modulation recognition using artificial neural network
3. Neural network processor based on SAW devices for digital modulation recognition
4. Application of a SAW artificial neural network processor to digital modulation recognition