Title :
The power spectra of good codes for partial response channels
Author :
X. Ma;A. Kavcic;M. Mitzenmacher
Author_Institution :
Div. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA
fDate :
6/25/1905 12:00:00 AM
Abstract :
In this paper, we investigate the second-order statistics of the matched information rate code (MIRC) sequence. Recently, a serial concatenation coding scheme was proposed to approach the capacity of a partial response (PR) channel, which is a basic model for digital recording systems. In this paper, we compute the power spectral density (p.s.d.) of the suboptimal binary input process concentrate in the frequency band where the water-filling solution(Gaussian channel) does not vanish and has low-powers(but not zero) at channel spectral nulls.
Keywords :
"Partial response channels","Hidden Markov models","Information rates","Statistical distributions","Input variables","Convergence","Power engineering and energy","Convolutional codes","Gaussian channels","Gaussian processes"
Conference_Titel :
Information Theory, 2003. Proceedings. IEEE International Symposium on
Print_ISBN :
0-7803-7728-1
DOI :
10.1109/ISIT.2003.1228059
