2-D Signal Processing and Coding for Digital Page- Oriented Memories: 2-D Equalization, Detection and Coding for Digital Non-linear Page-Oriented Volume Holographic Memories [Paperback]

Mehmet Keskinoz (Author)

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Book Description

Publication Date: 22 Feb 2009 | ISBN-10: 3639130499 | ISBN-13: 978-3639130492

Digital page-oriented Volume Holographic Storage (VHS) is a promising digital storage technology because of its high data storage density, high data rate and short access times. As the storage density increases, the performance of volume holographic storage channels is degraded due to increased two- dimensional (2-D) intersymbol interference (ISI) and noise. The output detector array in VHS detects the intensity of the incident light wave-front leading to sign information loss. This sign loss precludes the applicability of conventional equalization/detection schemes to mitigate ISI. In this book, we first address channel modeling under the quadratic nonlinearity and then develop 2-D equalization/detection methods such as linear minimum mean square (LMMSE) equalization, iterative magnitude square decision feed back equalization (IMS¬DFE) and partial response maximum likelihood (PRML) to mitigate 2-D ISI under quadratic nonlinearity. We also evalu¬ate the effect of modulation coding, particularly balanced codes and low pass coding. We finally investigate the performances of the equalization/detection methods under optical magnification error.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } Digital page-oriented Volume Holographic Storage (VHS) is a promising digital storage technology because of its high data storage density, high data rate and short access times. As the storage density increases, the performance of volume holographic storage channels is degraded due to increased two- dimensional (2-D) intersymbol interference (ISI) and noise. The output detector array in VHS detects the intensity of the incident light wave-front leading to sign information loss. This sign loss precludes the applicability of conventional equalization/detection schemes to mitigate ISI. In this book, we first address channel modeling under the quadratic nonlinearity and then develop 2-D equalization/detection methods such as linear minimum mean square (LMMSE) equalization, iterative magnitude square decision feed back equalization (IMS¬DFE) and partial response maximum likelihood (PRML) to mitigate 2-D ISI under quadratic nonlinearity. We also evalu¬ate the effect of modulation coding, particularly balanced codes and low pass coding. We finally investigate the performances of the equalization/detection methods under optical magnification error.

Product details

Paperback: 192 pages
Publisher: VDM Verlag Dr. M�ller (22 Feb 2009)
Language: English
ISBN-10: 3639130499
ISBN-13: 978-3639130492
Product Dimensions: 15.2 x 1.1 x 22.9 cm

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About the Author

Dr.Mehmet Keskinoz got his Ph.D degrees from Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh (USA) in 2001.Then he joined to Sabanci University Electronics Engineering Program, Istanbul, Turkey. His research interests include signal processing and coding for wired and wireless communications and watermarking.

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