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020 _a9783031025433
024 7 _a10.1007/978-3-031-02543-3
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK5102.9
_b2020 EB
100 1 _aSehgal, Abhishek
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9687098
245 1 0 _aSmartphone-Based Real-Time Digital Signal Processing
_cby Abhishek Sehgal, Shane Parris, Arian Azarang, Nasser Kehtarnavaz
250 _a3rd edition 2020
264 1 _aCham
_bSpringer International Publishing
_c2020
300 _a1 recurso en línea (XIV, 160 páginas)
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aSynthesis Lectures on Signal Processing
_x1932-1694
505 0 _aPreface -- Introduction -- Android Software Development Tools -- iOS Software Development Tools/ Analog-to-Digital Signal Conversion -- Fixed-Point vs. Floating-Point -- Real-Time Filtering -- Adaptive Filtering -- Domain Transforms -- Code Optimization -- Implementation via MATLAB Coder -- Authors' Biographies.
520 _aReal-time or applied digital signal processing courses are offered as follow-ups to conventional or theory-oriented digital signal processing courses in many engineering programs for the purpose of teaching students the technical know-how for putting signal processing algorithms or theory into practical use. These courses normally involve access to a teaching laboratory that is equipped with hardware boards, in particular DSP boards, together with their supporting software. A number of textbooks have been written discussing how to achieve real-time implementation on these hardware boards. This book discusses how to use smartphones as hardware boards for real-time implementation of signal processing algorithms, thus providing an alternative to the hardware boards that are used in signal processing laboratory courses. The fact that mobile devices, in particular smartphones, have become powerful processing platforms led to the development of this book to enable students to use their own smartphones to run signal processing algorithms in real-time considering that these days nearly all students possess smartphones. Changing the hardware platforms that are currently used in applied or real-time signal processing courses to smartphones creates a truly flexible laboratory experience or environment for students. In addition, it relieves the cost burden associated with using dedicated signal processing boards noting that the software development tools for smartphones are free of charge and are well-maintained by smartphone manufacturers. This book is written in such a way that it can be used as a textbook for real-time or applied digital signal processing courses offered at many universities. Ten lab experiments that are commonly encountered in such courses are covered in the book. It is written primarily for those who are already familiar with signal processing concepts and are interested in their real-time and practical aspects. Similar to existing real-time courses, knowledge of C programming is assumed. This book can also be used as a self-study guide for those who wish to become familiar with signal processing app development on either Android or iOS smartphones/tablets.
988 _aSynthesis Collection of Technology_2020
650 7 _2embne
_9150608
_aProceso de señales
650 7 _2embne
_9166091
_aProceso de datos en tiempo real
650 7 _2embne
_9668085
_aSmartphones
700 1 _aParris, Shane
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9687097
700 1 _aAzarang, Arian
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9687643
700 1 _aKehtarnavaz, Nasser
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_972584
776 0 8 _iPrinted edition:
_z9783031003363
776 0 8 _iPrinted edition:
_z9783031014154
776 0 8 _iPrinted edition:
_z9783031036712
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02543-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2023
_dz
_esc
_zSI