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020 _a9783030618605
024 7 _a10.1007/978-3-030-61860-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK7872.F5
_b2020 EB
100 1 _aIyer, Shivkumar V.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9673072
245 1 0 _aDigital Filter Design using Python for Power Engineering Applications :
_bAn Open Source Guide
_cby Shivkumar Venkatraman Iyer
250 _aFirst edition 2020
264 1 _aCham
_bSpringer International Publishing
_bImprint: Springer
_c2020
300 _a1 recurso en línea (XIII, 194 páginas)
_b171 ilustraciones, 41 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aEngineering (SpringerNature-11647)
490 0 _aEngineering (R0) (SpringerNature-43712)
505 0 _aIntroduction -- Introduction to discrete systems -- Getting started with signal processing -- Introduction to Python -- Implementing analog filters digitally -- Frequency response analysis -- Filter design -- Conclusion.
520 _aThis book is an in-depth description on how to design digital filters. The presentation is geared for practicing engineers, using open source computational tools, while incorporating fundamental signal processing theory. The author includes theory as-needed, with an emphasis on translating to practical application. The book describes tools in detail that can be used for filter design, along with the steps needed to automate the entire process. Breaks down signal processing theory into simple, understandable language for practicing engineers; Provides readers with a highly-practical introduction to digital filter design; Uses open source computational tools, while incorporating fundamental signal processing theory; Describes examples of digital systems in engineering and a description of how they are implemented in practice; Includes case studies where filter design is described in depth from inception to final implementation.
988 _aSpringer_Engineering_2020
650 7 _2embne
_aFiltros eléctricos
_9140818
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030618599
776 0 8 _iPrinted edition:
_z9783030618612
776 0 8 _iPrinted edition:
_z9783030618629
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-61860-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _dz
_b01/2021
_ea
_zSI