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024 7 _a10.1007/978-981-99-6752-0
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050 4 _aQA76.73.P98
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082 0 4 _a005.133
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100 1 _aEsakkirajan, S.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
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
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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).
650 0 _aSignal processing.
650 0 _aAlgorithms.
650 0 _aComputer science.
650 1 4 _aPython.
650 2 4 _aDigital and Analog Signal Processing.
650 2 4 _aDesign and Analysis of Algorithms.
650 2 4 _aTheory and Algorithms for Application Domains.
700 1 _aVeerakumar, T.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aN Subudhi, Badri.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
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 _cSPRINGER
999 _c187087
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