Minimum mean-squared error decision-feedback equalization for digital subscriber line transmission with possibly correlated line codes

1991 ◽  
Vol 39 (8) ◽  
pp. 1197-1206 ◽  
Author(s):  
D.W. Lin
Keyword(s):  
Mean Squared Error ◽  
Decision Feedback ◽  
Digital Subscriber Line ◽  
Minimum Mean Squared Error ◽  
Squared Error ◽  
Decision Feedback Equalization ◽  
Subscriber Line

Minimum mean-squared error multiuser decision-feedback detectors for DS-CDMA

2002 ◽  
Vol 50 (12) ◽  
pp. 2104-2112 ◽  
Author(s):  
G. Woodward ◽  
R. Ratasuk ◽  
M.L. Honig ◽  
P.B. Rapajic
Keyword(s):  
Mean Squared Error ◽  
Decision Feedback ◽  
Minimum Mean Squared Error ◽  
Squared Error

scholarly journals Attack-resilient minimum mean-squared error estimation

2014 ◽  
Author(s):  
James Weimer ◽  
Nicola Bezzo ◽  
Miroslav Pajic ◽  
Oleg Sokolsky ◽  
Insup Lee
Keyword(s):  
Error Estimation ◽  
Mean Squared Error ◽  
Minimum Mean Squared Error ◽  
Squared Error

scholarly journals Target and Equalizer Design for High-Density Bit-Patterned Media Recording

1970 ◽  
Vol 6 (2) ◽  
pp. 128-135
Author(s):  
Santi Koonkarnkhai ◽  
Phongsak Keeratiwintakorn ◽  
Piya Kovintavewat
Keyword(s):  
Partial Response ◽  
Mean Squared Error ◽  
Bit Patterned Media ◽  
Patterned Media ◽  
Media Noise ◽  
Minimum Mean Squared Error ◽  
Squared Error ◽  
Cross Track ◽  
Partial Response Maximum Likelihood ◽  
Better Than

In bit-patterned media recording (BPMR) channels, the inter-track interference (ITI) is extremely severe at ultra high areal densities, which significantly degrades the system performance. The partial-response maximum-likelihood (PRML) technique that uses an one-dimensional (1D) partial response target might not be able to cope with this severe ITI, especially in the presence of media noise and track mis-registration (TMR). This paper describes the target and equalizer design for highdensity BPMR channels. Specifically, we proposes a two-dimensional (2D) cross-track asymmetric target, based on a minimum mean-squared error (MMSE) approach, to combat media noise and TMR. Results indicate that the proposed 2D target performs better than the previously proposed 2D targets, especially when media noise and TMR is severe.

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