Robinson, Michael.
Topological Signal Processing [electronic resource] / by Michael Robinson. - XVI, 208 p. 134 illus. online resource. - Mathematical Engineering, 2192-4732 . - Mathematical Engineering, .
Introduction and informal discussion -- Parametrization -- Signals -- Detection -- Transforms -- Noise.
Signal processing is the discipline of extracting information from collections of measurements. To be effective, the measurements must be organized and then filtered, detected, or transformed to expose the desired information. Distortions caused by uncertainty, noise, and clutter degrade the performance of practical signal processing systems. In aggressively uncertain situations, the full truth about an underlying signal cannot be known. This book develops the theory and practice of signal processing systems for these situations that extract useful, qualitative information using the mathematics of topology -- the study of spaces under continuous transformations. Since the collection of continuous transformations is large and varied, tools which are topologically-motivated are automatically insensitive to substantial distortion. The target audience comprises practitioners as well as researchers, but the book may also be beneficial for graduate students.
9783642361043
10.1007/978-3-642-36104-3 doi
Engineering.
Mathematics.
Computer science.
Topology.
Telecommunication.
Engineering.
Signal, Image and Speech Processing.
Topology.
Communications Engineering, Networks.
Computational Science and Engineering.
Information and Communication, Circuits.
TK5102.9 TA1637-1638 TK7882.S65
621.382
Topological Signal Processing [electronic resource] / by Michael Robinson. - XVI, 208 p. 134 illus. online resource. - Mathematical Engineering, 2192-4732 . - Mathematical Engineering, .
Introduction and informal discussion -- Parametrization -- Signals -- Detection -- Transforms -- Noise.
Signal processing is the discipline of extracting information from collections of measurements. To be effective, the measurements must be organized and then filtered, detected, or transformed to expose the desired information. Distortions caused by uncertainty, noise, and clutter degrade the performance of practical signal processing systems. In aggressively uncertain situations, the full truth about an underlying signal cannot be known. This book develops the theory and practice of signal processing systems for these situations that extract useful, qualitative information using the mathematics of topology -- the study of spaces under continuous transformations. Since the collection of continuous transformations is large and varied, tools which are topologically-motivated are automatically insensitive to substantial distortion. The target audience comprises practitioners as well as researchers, but the book may also be beneficial for graduate students.
9783642361043
10.1007/978-3-642-36104-3 doi
Engineering.
Mathematics.
Computer science.
Topology.
Telecommunication.
Engineering.
Signal, Image and Speech Processing.
Topology.
Communications Engineering, Networks.
Computational Science and Engineering.
Information and Communication, Circuits.
TK5102.9 TA1637-1638 TK7882.S65
621.382