University of Strathclyde website
Digital Collections - University of Strathclyde Library
Search Results Previous Searches E-Shelf
Login End Session
Search 'System Number= 000005653' in 'General Silo' Collection [ Sorted by: Name/Title ] Refine search
Table view Full view
Record 1 of 1 1
Add to E-Shelf
e-item icon
PDF of thesis T15269 PDF of thesis T15269 - (18 M)
Title Bio-inspired acoustic sensors and systems - from biology to engineering exploiting feedback computation / Jose M. F. Guerreiro.
Name Guerreiro, Jose M. F. .
Abstract In order to design sensors and systems that can be sensitive to small signal levels even when immersed by background noise, may require out-of-the-box thinking. Biology can provide inspiration to achieve that, allowing the engineering landscape to borrow interesting ideas with the aim to solve current human problems. Biological sensor, system and signal processing designs are a result of many million years of evolutionary processes, which make them very-power efficient and well-adapted to perform their functions in a living organism.
Abstract This thesis is an example of how acoustic engineering can look into biology in order to get inspiration to design novel ways for detecting, encoding and processing sound information. Sometimes the challenges behind innovation are on finding the proper tools to conceptualize and prototype novel ideas. Bio-inspired engineering offers a possible pathway for new technological advances using theoretical reasoning and appropriate physical modelling. Therefore, this body of work is a research study, which borrows ideas from biology and employs engineering techniques to prototype some new concepts of sensors, systems and signal processing.
Abstract Moreover, it suggests an unconventional methodology in acoustic engineering, aiming to demonstrate that novel acoustic sensor system concepts can perform peripheral signal processing at the transducer level such like some natural sensory systems do. Here, from the engineering perspective, the aim is to delay as much as possible the digitalization task while exploiting analogue mechanical-electrical-feedback based computations, therefore, a smart acoustic sensory system concept can be created targeting real-time signal processing applications.
Publication date 2018.
Name Windmill, James, degree supervisor.
Name Jackson, Joseph, degree supervisor.
Name University of Strathclyde. Department of Electronic & Electrical Engineering.
Thesis note Thesis Ph. D. University of Strathclyde 2018 T15269

Powered by Digitool Contact us Electronic Library Services Library Home