Discrete-time Signal Processing An Algebraic Approach

The topics of control engineering and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are then discussed, used, discarded or subsumed into the prevailing subject paradigm...

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1. Verfasser: Williamson, Darrell (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: London Springer London 1999
Schriftenreihe:Advanced Textbooks in Control and Signal Processing
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spelling Williamson, Darrell Verfasser aut
Discrete-time Signal Processing An Algebraic Approach by Darrell Williamson
London Springer London 1999
1 Online-Ressource (XV, 421 p. 1 illus)
txt rdacontent
c rdamedia
cr rdacarrier
Advanced Textbooks in Control and Signal Processing
The topics of control engineering and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are then discussed, used, discarded or subsumed into the prevailing subject paradigm. Sometimes these innovative concepts coalesce into a new sub-discipline within the broad subject tapestry ofcontrol and signal processing. This preliminary battle between old and new usually takes place at conferences, through the internet and in the journals of the discipline. After a little more maturity has been acquired by the new concepts then archival publication as a scientific or engineering monograph may occur. The applications ofsignal processing techniques have grown and grown. They now cover the wide range from the statistical properties of signals and data through to the hardware problems of communications in all its diverse aspects. Supporting this range ofapplications is a body of theory, analysis and techniques which is equally broad. Darrell Williamson has faced the difficult task of organising this material by adopting an algebraic approach. This uses general mathematical and systems ideas and results to form a firm foundation for the discrete signal processing paradigm. Although this may require some extra concentration and involvement by the student or researcher, the rewards are a clarity of presentation and deeper insight into the power of individual results. An additional benefit is that the algebraic language used is the natural language of computing tools like MATLAB and its simulation facility, SIMULINK.
Engineering
Signal, Image and Speech Processing
Zeitdiskrete Signalverarbeitung (DE-588)4401311-5 gnd rswk-swf
Zeitdiskrete Signalverarbeitung (DE-588)4401311-5 s
1\p DE-604
Erscheint auch als Druck-Ausgabe 9781852331610
https://doi.org/10.1007/978-1-4471-0541-1 Verlag URL des Erstveröffentlichers Volltext
1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk
spellingShingle Williamson, Darrell
Discrete-time Signal Processing An Algebraic Approach
Engineering
Signal, Image and Speech Processing
Zeitdiskrete Signalverarbeitung (DE-588)4401311-5 gnd
subject_GND (DE-588)4401311-5
title Discrete-time Signal Processing An Algebraic Approach
title_auth Discrete-time Signal Processing An Algebraic Approach
title_exact_search Discrete-time Signal Processing An Algebraic Approach
title_full Discrete-time Signal Processing An Algebraic Approach by Darrell Williamson
title_fullStr Discrete-time Signal Processing An Algebraic Approach by Darrell Williamson
title_full_unstemmed Discrete-time Signal Processing An Algebraic Approach by Darrell Williamson
title_short Discrete-time Signal Processing
title_sort discrete time signal processing an algebraic approach
title_sub An Algebraic Approach
topic Engineering
Signal, Image and Speech Processing
Zeitdiskrete Signalverarbeitung (DE-588)4401311-5 gnd
topic_facet Engineering
Signal, Image and Speech Processing
Zeitdiskrete Signalverarbeitung
url https://doi.org/10.1007/978-1-4471-0541-1
work_keys_str_mv AT williamsondarrell discretetimesignalprocessinganalgebraicapproach