|
Wei W, Mendel J M. Maximum-likelihood classification for digital amplitude-phase modulation. IEEE Trans. on Comm., 2000 48(2): 189-193.[2]Polydoros A, Kim K. On the detection and classification of quadrature digital modulations in broad-band noise[J].IEEE Trans. on Comm.1990, 38(8):1199-1211[3]Huang C Y, Polydoros A. Likelihood methods for MPSK modulation classification[J].IEEE Trans. on Comm.1995, 43(2/3/4):1493-[4]Azzouz E E, Nandi A K. Automatic identification of digital modulation types. SignalProcessing, 1995, 47(1): 55-69.[5]Swami A, Sadler B M. Hierarchical digital modulation classification using cumulants[J].IEEE Trans. on Comm.2000, 48(3):416-429[6]Andrieu C, De Freitas N, Doucet A, Jordan M I. An introductionto MCMC for machine learning[J].Machine Learning.2003,50(1/2):5-43[7]Chib S, Creenberg E, Understanding the Metropolis-Hastingsalgorithm. American Statistician, 1995, 49(4): 327-335.[8]Lesage S, Tourneret J Y, Djuric P M. Classification of digitalmodulations by MCMC sampling, IEEE ICASSP, Salt Lake City,Utah, May 2001, vo1.4: 2553-2556.[9]Sills J A. Maximum-likelihood modulation classification forPSK/QAM, IEEE MILCOM, Atlantic City, NJ, Oct.31-Nov.3,1999: 217-220.[10]Chib S, Jeliazkov I. Marginal likelihood from theMetropolis-Hastings output. Journal of the American StatisticalAssociation, 2001, 96(453): 270-281.[11]Spall J C. Estimation via Markov chain Monte Carlo[J].IEELControl Systems Magazine.2003, 23(2):34-45
|
下载:
