A blind receiver with multiple antennas in impulsive noise with Gaussian mixtures through MCMC approaches
暂无分享,去创建一个
[1] Arnaud Doucet,et al. On the Utility of Graphics Cards to Perform Massively Parallel Simulation of Advanced Monte Carlo Methods , 2009, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.
[2] Stephen P. Brooks,et al. Markov chain Monte Carlo method and its application , 1998 .
[3] Cliburn Chan,et al. Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures , 2010, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.
[4] David Middleton,et al. Statistical-Physical Models of Electromagnetic Interference , 1977, IEEE Transactions on Electromagnetic Compatibility.
[5] Robert W. Heath,et al. MIMO Receiver Design in the Presence of Radio Frequency Interference , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.
[6] T. W. Anderson. An Introduction to Multivariate Statistical Analysis, 2nd Edition. , 1985 .
[7] Rick S. Blum,et al. A statistical and physical mechanisms-based interference and noise model for array observations , 2000, IEEE Trans. Signal Process..
[8] Arthur A. Giordano,et al. Statistical Characterization of Impulsive Noise , 2003 .
[9] Rick S. Blum,et al. An adaptive receiver with an antenna array for channels with correlated non-Gaussian interference and noise using the SAGE algorithm , 2000, IEEE Trans. Signal Process..
[10] David Middleton,et al. Non-Gaussian Noise Models in Signal Processing for Telecommunications: New Methods and Results for Class A and Class B Noise Models , 1999, IEEE Trans. Inf. Theory.
[11] Brian M. Sadler,et al. Maximum-likelihood array processing in non-Gaussian noise with Gaussian mixtures , 2000, IEEE Trans. Signal Process..