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9783642361036

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From the book reviews: Three major goals for this book: firstly to show that topological invariants provide qualitative information about signals that is both relevant and practical, second to show that the signal processing concepts of filtering, detection, and noise correspond respectively to the concepts of sheaves, functoriality and sequences, and third to advocate for the use of sheaf theory in signal processing. ... The target audience is practitioners so that the theoretical notions are covered with the practitioner in mind with motivations emphasized. (Jonathan Hodgson, zbMATH, Vol. 1294, 2014)

From the book reviews: This text provides a nice exposition of the topological ideas used to extract information from signals and the practical details of signal processing. ... Robinson's intended audience is first year graduate students in both engineering and mathematics, and advanced undergraduates. ... Throughout the text there are numerous examples and diagrams. Each chapter also ends with some open questions. These features make the book quite readable. (Michele Intermont, MAA Reviews, February, 2015) Three major goals for this book: firstly to show that topological invariants provide qualitative information about signals that is both relevant and practical, second to show that the signal processing concepts of filtering, detection, and noise correspond respectively to the concepts of sheaves, functoriality and sequences, and third to advocate for the use of sheaf theory in signal processing. ... The target audience is practitioners so that the theoretical notions are covered with the practitioner in mind with motivations emphasized. (Jonathan Hodgson, zbMATH, Vol. 1294, 2014)

From the book reviews: This text provides a nice exposition of the topological ideas used to extract information from signals and the practical details of signal processing. ... Robinson's intended audience is first year graduate students in both engineering and mathematics, and advanced undergraduates. ... Throughout the text there are numerous examples and diagrams. Each chapter also ends with some open questions. These features make the book quite readable. (Michele Intermont, MAA Reviews, February, 2015) Three major goals for this book: firstly to show that topological invariants provide qualitative information about signals that is both relevant and practical, second to show that the signal processing concepts of filtering, detection, and noise correspond respectively to the concepts of sheaves, functoriality and sequences, and third to advocate for the use of sheaf theory in signal processing. ... The target audience is practitioners so that the theoretical notions are covered with the practitioner in mind with motivations emphasized. (Jonathan Hodgson, zbMATH, Vol. 1294, 2014)

From the book reviews: Three major goals for this book: firstly to show that topological invariants provide qualitative information about signals that is both relevant and practical, second to show that the signal processing concepts of filtering, detection, and noise correspond respectively to the concepts of sheaves, functoriality and sequences, and third to advocate for the use of sheaf theory in signal processing. The target audience is practitioners so that the theoretical notions are covered with the practitioner in mind with motivations emphasized. (Jonathan Hodgson, zbMATH, Vol. 1294, 2014)

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