Classification and digital synthesis using spectral techniques

dc.contributor.author	Iyer, Balasubramanian H.	en_US
dc.date.accessioned	2024-08-14T17:53:03Z
dc.date.available	2024-08-14T17:53:03Z
dc.date.copyright	1984	en_US
dc.date.issued	1984
dc.degree.department	Department of Computer Science
dc.degree.level	Master of Science M.Sc.	en
dc.description.abstract	This thesis is concerned with the effectiveness of digital circuit design and fault detection, and concentrates on the investigation of several techniques for the classification and synthesis of Boolean functions. A more compact representation of individual Boolean functions based on spectral classification using only O(n2 ) coefficients is derived. Digital design based _on spectral classification has the benefit that all functions can be realized using a small set of prototype functions. The resulting modular design is based on the implementation of the prototype function together with the appropriate transformations required to map the given function onto the prototype function. A new design philosophy utilizing symmetry techniques to implement the prototype function supplemented by appropriate spectral translations is developed. Its limitations for both synthesis and fault detection are investigated.
dc.format.extent	134 pages
dc.identifier.uri	https://hdl.handle.net/1828/18285
dc.rights	Available to the World Wide Web	en_US
dc.title	Classification and digital synthesis using spectral techniques	en_US
dc.type	Thesis	en_US

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