Sergei S. Orlov

Stanford University

Error Correcting Sparse Permutation Channel Codes for Digital Holographic Data Storage

We present a new class of modulation codes based on permutation coding which satisfy the channel coding constraint suitable for the digital holographic data storage, and which simultaneously provide strong error correction at high code rates. The channel decoding scheme is based on the true maximum likelihood detection realized using a newly developed efficient algorithm. The sparse permutation codes of large block sizes closely approach the information theoretic limits for the binary channel data capacity.


12 October, E1 103, 3:00 pm

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