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Adapting Deep Learning For Underwater Acoustic Communication Channel Modeling, Li Wei
Adapting Deep Learning For Underwater Acoustic Communication Channel Modeling, Li Wei
Dissertations, Master's Theses and Master's Reports
The recent emerging applications of novel underwater systems lead to increasing demand for underwater acoustic (UWA) communication and networking techniques. However, due to the challenging UWA channel characteristics, conventional wireless techniques are rarely applicable to UWA communication and networking. The cognitive and software-defined communication and networking are considered promising architecture of a novel UWA system design. As an essential component of a cognitive communication system, the modeling and prediction of the UWA channel impulse response (CIR) with deep generative models are studied in this work.
Firstly, an underwater acoustic communication and networking testbed is developed for conducting various simulations and …
Design Automation For Carbon Nanotube Circuits Considering Performance And Security Optimization, Lin Liu
Design Automation For Carbon Nanotube Circuits Considering Performance And Security Optimization, Lin Liu
Dissertations, Master's Theses and Master's Reports
As prevailing copper interconnect technology advances to its fundamental physical limit, interconnect delay due to ever-increasing wire resistivity has greatly limited the circuit miniaturization. Carbon nanotube (CNT) interconnects have emerged as promising replacement materials for copper interconnects due to their superior conductivity. Buffer insertion for CNT interconnects is capable of improving circuit timing of signal nets with limited buffer deployment. However, due to the imperfection of fabricating long straight CNT, there exist significant unidimensional-spatially correlated variations on the critical CNT geometric parameters such as the diameter and density, which will affect the circuit performance.
This dissertation develops a novel timing …