03832nam a22005535i 4500 978-981-99-6752-0 DE-He213 20251030111402.0 cr nn 008mamaa 240125s2024 si | s |||| 0|eng d 9789819967520 978-981-99-6752-0 10.1007/978-981-99-6752-0 doi QA76.73.P98 UMX bicssc COM051360 bisacsh UMX thema Esakkirajan, S. author. aut http://id.loc.gov/vocabulary/relators/aut 69924 Digital Signal Processing [electronic resource] : Illustration Using Python / by S Esakkirajan, T Veerakumar, Badri N Subudhi. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVIII, 523 p. 1 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda CHAPTER 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. Digital 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. Python (Computer program language). 64608 Signal processing. Algorithms. 58677 Computer science. 58552 Python. 47553 Digital and Analog Signal Processing. Design and Analysis of Algorithms. 67299 Theory and Algorithms for Application Domains. 67030 Veerakumar, T. author. aut http://id.loc.gov/vocabulary/relators/aut 69925 N Subudhi, Badri. author. aut http://id.loc.gov/vocabulary/relators/aut 69926 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819967513 Printed edition: 9789819967537 https://doi.org/10.1007/978-981-99-6752-0 ZDB-2-SCS ZDB-2-SXCS 57311 57311