To increase the storage capacity in holographic data storage (HDS), the information to be
stored is encoded into a complex amplitude. Fast and accurate retrieval of amplitude and …

This paper proposes a lensless phase retrieval method based on deep learning (DL) used
in holographic data storage. By training an end-to-end convolutional neural network …

Low-density parity-check (LDPC) coding is a significant technique for ensuring data
reliability in phase-modulated holographic data storage. To accelerate LDPC decoding, we …

Due to the interference of complex noise in holographic channels and the limitation of phase
retrieve algorithms, the reliability of phase-modulated holographic data storage (PHDS) is …

Coded aperture-based compression has proven to be an effective approach for high-density
cold data storage. Nevertheless, its limited decoding speed represents a significant …

Owing to their high storage density and long storage life, holographic data storage (HDS)
technologies are viable options for mass cold data storage in the era of big data. Phase …

Holographic memory offers high-capacity optical storage with rapid data readout and long-
term durability. Recently, read data pages have been classified using digital deep neural …

Holographic optical storage has great potential for enormous data storage, although the
recording medium can cause dimensional change, which can deteriorate the quality of the …

The iterative Fourier transform (IFT) algorithm is an effective solution for phase retrieval in
phase-type holographic data storage systems, but introduces a higher phase error rate. As a …

Phase modulated holographic storage offers superior storage capacity and a longer life
span compared with other storage technologies. However, its application is limited by its …