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024 7 $a10.1007/978-981-99-6752-0
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035   $a(DE-He213)978-981-99-6752-0
035   $a(EXLCZ)9930098167800041
100   $a20240125d2024      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDigital Signal Processing $eIllustration Using Python /$fby S Esakkirajan, T Veerakumar, Badri N Subudhi
205   $a1st ed. 2024.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024.
215   $a1 online resource (535 pages)
311 08$a9789819967513 
327   $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.
330   $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.
606   $aPython (Computer program language)
606   $aSignal processing
606   $aAlgorithms
606   $aComputer science
606   $aPython
606   $aDigital and Analog Signal Processing
606   $aDesign and Analysis of Algorithms
606   $aTheory and Algorithms for Application Domains
615  0$aPython (Computer program language)
615  0$aSignal processing.
615  0$aAlgorithms.
615  0$aComputer science.
615 14$aPython.
615 24$aDigital and Analog Signal Processing.
615 24$aDesign and Analysis of Algorithms.
615 24$aTheory and Algorithms for Application Domains.
676   $a813
700   $aEsakkirajan$b S.$01592190
702   $aVeerakumar$b T.
702   $aN Subudhi$b Badri
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910806192203321
996   $aDigital Signal Processing$93908304
997   $aUNINA