Adaptive DBSCAN-based algorithm for constellation reconstruction and modulation identification

2004 Asia-Pacific Radio Science Conference - Proceedings

Volumn , Issue , 2004, Pages 177-180

  Pingjiang, Feng ^a   Lindong, Ge ^a  

^a INFORMATION ENGINEERING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE WHITE GAUSSIAN NOISE (AWGN); CLASSIFICATION ALGORITHM; CONSTELLATION RECONSTRUCTION; SHAPE RECOGNITION;

ALGORITHMS; COMPUTER SIMULATION; DATABASE SYSTEMS; GAUSSIAN NOISE (ELECTRONIC); PHASE SHIFT KEYING; SIGNAL PROCESSING; SPURIOUS SIGNAL NOISE;

MODULATION;

EID: 20844438704     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

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2. Wen Wei and Jerry M. Mendel, A Fuzzy Logic Method for Modulation Classification in noideal Environments,[J] IEEE Transactions on Fuzzy Systems, Vol. 7, No. 3, June 1999: 333-344
3. Martin Ester, Hans-Peter Kriegel, Jorg Sander, Xiaowei Xu, A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise[J], Proceedings of 2nd Int. Conf. On Knowledge Discovery and Data Mining, Portland, OR, pp. 226-231, 1996.
4. Maria Halkidi, Michails Vazirgiannis, Clustering Validity Assessment: Finding the optimal partitioning of a data set, [D] Dept of Informatics, Athens University of Economics & Business, 2002.