The holographic coding method improves the reliability of storing digital information in memory systems that are subject to external influences that introduce a large number of errors. The method is based on writing to memory instead of the initial data of a digital hologram created in the virtual space by a wave from an input source. The property of the hologram divisibility is used, allowing to recover the recorded data block by its fragment. The achieved level of noise immunity is determined by the size of the hologram. For an 8-bit data block, a 256-bit hologram recording provides recovery of information when 75% of the recorded hologram is lost. The developed decoder corrects the packet of dependent (grouped) errors that distort all bits of the hologram. The number of random independent errors that the decoder corrects can be up to 40% of the recorded information.
Based on the analysis and the urgent tasks of communication systems designed to serve the Industrial Internet through RoF technology, the article explores the significance of a chirped signal on the principles of building segments of RoF systems, and then the principles of generation and conversion of this category of signals.