Decryption of Fast Burst Radio Fbr Using Big Data

Fast Radio Burst's (FRB) are currently of great interest as they may allude to new knowledge driven by radio astronomers. But due to the complexities of signals generation and likely random radical disturbances, this leads to a view that a holistic data analysis of the documented FRB data is desirable. Occam's razor suggests either the FRB: (1) is not a packet or message segment. (2) maybe a packet or message segment. Here we show within the signal processing context that the FRB is plausibly an observed fragmented signal that appears to have a fragmented-fractal message with a packet format (Binary: header, Payload, Tail). Of particular note are the R² analyses of 14 FRB signal parameters and the distilling of 7 parameters that tends to indicate a packet or message segment signal detection. Within a communications signal context there appears to be plausible hypothesis that FRB properties and typologies might be a subspace packet of a `Quantum Simulations Location And Mapping' (C-SLAM) device-sensor (`media access control' (MAC)). Therefore the packets appear entangled frequencies (slipstreaming and backchannelling) using lag low behind high frequencies (repetitive events) with superposition properties.