Abstract

We discuss a novel two-dimensional parallel technique for reliable data detection in page-oriented optical memories. The method is motivated by decision feedback techniques and is fully parallel, offering convenient, locally connected electronic implementation. The algorithm is shown to offer significant improvements over simple threshold detection and in some cases can approach the maximum-likelihood bound of data reliability.

© 1996 Optical Society of America

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References

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  1. M. A. Neifeld, J. D. Hayes, Appl. Opt. 34, 8183 (1995).
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    [CrossRef]
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    [CrossRef]
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    [CrossRef] [PubMed]
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    [CrossRef]
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    [CrossRef] [PubMed]
  8. E. Hecht, A. Zajac, Optics (Addison-Wesley, Reading, Mass., 1979), Chap. 10.
  9. K. M. Chugg, “The performance of maximum likelihood page detection in the presence of intersymbol interference,” IEEE Trans. Inf. Theor. (to be published).
  10. A. Jain, Fundamentals of Digital Image Processing (Prentice-Hall, Englewood Cliffs, N. J., 1989), pp. 275–284.

1996

1995

1994

1992

Bashaw, M.

Chugg, K. M.

K. M. Chugg, “The performance of maximum likelihood page detection in the presence of intersymbol interference,” IEEE Trans. Inf. Theor. (to be published).

Esener, S.

Goertzen, B. J.

Gu, C.

Gurkan, K.

Hayes, J. D.

Heanue, J.

Hecht, E.

E. Hecht, A. Zajac, Optics (Addison-Wesley, Reading, Mass., 1979), Chap. 10.

Hesselink, L.

Hong, J.

Jain, A.

A. Jain, Fundamentals of Digital Image Processing (Prentice-Hall, Englewood Cliffs, N. J., 1989), pp. 275–284.

McMichael, I.

Mitkas, P. A.

Mok, F.

Neifeld, M. A.

Olson, B.

Saxena, R.

Zajac, A.

E. Hecht, A. Zajac, Optics (Addison-Wesley, Reading, Mass., 1979), Chap. 10.

Appl. Opt.

J. Opt. Soc. Am. A

Opt. Lett.

Other

E. Hecht, A. Zajac, Optics (Addison-Wesley, Reading, Mass., 1979), Chap. 10.

K. M. Chugg, “The performance of maximum likelihood page detection in the presence of intersymbol interference,” IEEE Trans. Inf. Theor. (to be published).

A. Jain, Fundamentals of Digital Image Processing (Prentice-Hall, Englewood Cliffs, N. J., 1989), pp. 275–284.

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Figures (2)

Fig. 1
Fig. 1

Probability of detection error (bit-error rate, BER) versus SNR for various data detection techniques. Gaussian blur parameter σb = 0.623.

Fig. 2
Fig. 2

Probability of detection error (bit-error rate, BER) versus SNR for various data detection techniques. Gaussian blur parameter σb = 0.45.

Equations (4)

Equations on this page are rendered with MathJax. Learn more.

r ( i , j ) = m = K K n = K K h ( m , n ) p ( i m , j n ) .
h ( i , j ) = i d 1 / 2 i d + 1 / 2 j d 1 / 2 j d + 1 / 2 exp [ ( x 2 + y 2 ) / 2 σ b 2 ] d x d y .
SNR = 2 E { r 2 ( i , j ) } / E { n 2 ( i , j ) } , = i j h 2 ( i , j ) / σ n 2 ,
TH = [ E { r ( i , j ) p ( i , j ) = 1 } + E { r ( i , j ) p ( i , j ) = 0 } ] / 2 ,

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