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


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

PROJECT TITLE :A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systemsABSTRACT:Most power purpose tracking (MPPT) techniques are thought of a crucial part in photovoltaic system design to
PROJECT TITLE :Maximum Secrecy Throughput of MIMOME FSO Communications With Outage Constraints - 2018ABSTRACT:During this Project, we have a tendency to contemplate a situation where two multiple-aperture legitimate nodes (Alice
PROJECT TITLE :Greenput: A Power-Saving Algorithm That Achieves Maximum Throughput in Wireless Networks - 2018ABSTRACT:The dynamic frame sizing algorithm could be a throughput-optimal algorithm that can achieve maximum network
PROJECT TITLE :Path Finding for Maximum Value of Information in Multi-Modal Underwater Wireless Sensor Networks - 2018ABSTRACT:We contemplate underwater multi-modal wireless sensor networks (UWSNs) appropriate for applications
PROJECT TITLE :Distributed Maximum Power Point Tracking Using Model Predictive Control for Photovoltaic Energy Harvesting Architectures Based on Cascaded Power Optimizers - 2017ABSTRACT:Mismatching and partial shading in photovoltaic

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry