Soft Decision Decoding for Holographic Memories with Intrapage Intensity Variations

The signal quality of holographic memory is greatly lowered by the pixel mismatch between the charge-coupled device (CCD) and the reproduced image caused by image distortion. This paper discusses an approach to improve the signal quality by using two step decoding method. By this method, first, distortion correction is done to improve the degree of pixel mismatch to obtain better signal to noise ratio (SNR). Then, to eliminate errors such as noise that cannot be removed by distortion correction, soft decision Viterbi decoding using the newly defined reliability is used to correct errors. The effectiveness of this two step decoding method was tested by computer simulation, and its effect to improve SNR and reduce errors was confirmed.

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Soft Decision Decoding for Holographic Memories with Intrapage Intensity Variations

Abstract: The phenomena at the onset of and during tissue ablation using continuous wave lasers were studied. Aortic and myocardial bovine tissues were exposed in air and in water to Nd-YAG (10 to 60 W) and argon (3.5 W) laser light. The transmitted light was measured,

Cited by 4 publications

References 18 publications

Interleaving for burst errors in volume holographic memory

Interleaving for burst errors in volume holographic memory

The impact of convolutional coding on the uplink performance of UMTS air interface

Signal Processing Method of Holographic Memory Using Image Distortion Correction and Soft Decision Viterbi Decoding Method

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