PROJECT TITLE :

Maximum Likelihood Decoding for Gaussian Noise Channels With Gain or Offset Mismatch - 2018

ABSTRACT:

Besides the omnipresent noise, different important inconveniences in communication and storage systems are shaped by gain and/or offset mismatches. Within the previous art, a most chance (ML) decision criterion has already been developed for Gaussian noise channels laid low with unknown gain and offset mismatches. Here, such criteria are considered for Gaussian noise channels littered with either an unknown offset or an unknown gain. Furthermore, ML decision criteria are derived when assuming a Gaussian or uniform distribution for the offset within the absence of gain mismatch.