Maximum Likelihood Decoding for Gaussian Noise Channels With Gain or Offset Mismatch - 2018 PROJECT TITLE :Maximum Likelihood Decoding for Gaussian Noise Channels With Gain or Offset Mismatch - 2018ABSTRACT: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. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest LAW: A Novel Mechanism for Addressing Hidden Terminal Problem in LTE-U and Wi-Fi Networks - 2018 MIMO Techniques for Carrierless Amplitude and Phase Modulation in Visible Light Communication - 2018
