Simulation neural process for Hidden Markov models of signal processing, involves enabling allocation of input sample to output sample by neural synapses simulation that is performed by differential tables

摘要

The method involves providing a differential table for 8 bits, 256 memory cells, and for 16 bits, 65536 memory cells, which contains counter notes loaded with different signal sources and allows further low-level differential tables. Allocation of an input sample to an output sample is enabled by neural synapses simulation that is performed by the differential tables.