22 November 1999 Likelihood-based error correction for holographic storage systems
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We consider a volume holographic memory (VHM) system that is corrupted by interpixel interference (IPI) and detector noise. We compare hard-decision Reed-Solomon (RS) decoding with both hard- and soft-decision algorithms for 2D array decoding. RS codes are shown to provide larger VHM storage capacity and density as compared with array codes when hard-decision methods are employed. A new likelihood-based soft-decision algorithm for 2D array decoding is described. The new decoding algorithm is motivated by iterative turbo-decoding methods and is capable of incorporating a priori knowledge of the corrupting IPI channel during decoding. The new algorithm is shown to offer VHM capacity and density performance superior to hard-decision RS methods.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark Allen Neifeld, Mark Allen Neifeld, Wu-Chun Chou, Wu-Chun Chou, } "Likelihood-based error correction for holographic storage systems", Proc. SPIE 3802, Advanced Optical Data Storage: Materials, Systems, and Interfaces to Computers, (22 November 1999); doi: 10.1117/12.370247; https://doi.org/10.1117/12.370247

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