000 03817nam a22005535i 4500
001 978-981-99-6752-0
003 DE-He213
005 20240730171035.0
007 cr nn 008mamaa
008 240125s2024 si | s |||| 0|eng d
020 _a9789819967520
_9978-981-99-6752-0
024 7 _a10.1007/978-981-99-6752-0
_2doi
050 4 _aQA76.73.P98
072 7 _aUMX
_2bicssc
072 7 _aCOM051360
_2bisacsh
072 7 _aUMX
_2thema
082 0 4 _a005.133
_223
100 1 _aEsakkirajan, S.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_996865
245 1 0 _aDigital Signal Processing
_h[electronic resource] :
_bIllustration Using Python /
_cby S Esakkirajan, T Veerakumar, Badri N Subudhi.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVIII, 523 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aCHAPTER 1: Generation of Continuous-Time Signals -- CHAPTER 2: Sampling and Quantization of Signals.-CHAPTER 3: Generation and Operation on Discrete-Time Sequence -- CHAPTER 4: Discrete-Time Systems.-CHAPTER 5: Transforms.-CHAPTER 6: Filter Design using Pole-Zero Placement Method-CHAPTER 7: FIR Filter Design-CHAPTER 8: Infinite Impulse Response Filter-CHAPTER 9: Effect of Quantization of Filter Coefficients-CHAPTER 10: Multi-rate Signal Processing-CHAPTER 11: Adaptive Signal Processing Case Studies.
520 _aDigital signal processing deals with extraction of useful information from signals. Signal processing algorithms help observe, analyse and transform signals. The objective of this book is to develop signal processing algorithms using Python. Python is an interpreted, object-oriented high-level programming language widely used in various software development fields such as data science, machine learning, web development and more. Digital Signal Laboratory is playing an important role in realizing signal processing algorithms, utilizing different software solutions. The intention of this textbook is to implement signal processing algorithms using Python. Since Python is an open-source language, students, researchers, and faculty can install and work with it without spending money, reducing the financial burden on institutions. Each chapter in this book begins with prelab questions, a set of Python examples to illustrate the concepts, exercises to strengthen the understanding of the concepts, and objective questions to help students prepare for competitive examinations. This book serves as an undergraduate textbook, it can be used for individual study, and it can also be used as the textbook for related courses.
650 0 _aPython (Computer program language).
_96666
650 0 _aSignal processing.
_94052
650 0 _aAlgorithms.
_93390
650 0 _aComputer science.
_99832
650 1 4 _aPython.
_934340
650 2 4 _aDigital and Analog Signal Processing.
_936907
650 2 4 _aDesign and Analysis of Algorithms.
_931835
650 2 4 _aTheory and Algorithms for Application Domains.
_979177
700 1 _aVeerakumar, T.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_996868
700 1 _aN Subudhi, Badri.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_996870
710 2 _aSpringerLink (Online service)
_996873
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819967513
776 0 8 _iPrinted edition:
_z9789819967537
856 4 0 _uhttps://doi.org/10.1007/978-981-99-6752-0
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cEBK
999 _c87371
_d87371