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001			a43333664
003			SIRSI
005			20240527115406.0
007			cr nn 008mamaa
008			240125s2024 si | s |||| 0|eng d
020			_a9789819967513
024	7		_a10.1007/978-981-99-6752-0 _2doi
040			_dUtOrBLW _ctbs
050		4	_aQA76.73.P98
100	1		_aEsakkirajan, S., _eauthor. _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/no2012073123
245	1	0	_aDigital Signal Processing _b: Illustration Using Python _cby S Esakkirajan, T Veerakumar, Badri N Subudhi.
250			_aFirst edition
264		1	_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024.
300			_axviii, 523 pages : illustrations
505	0		_aGeneration of Continuous-Time Signals — Sampling and Quantization of Signals — Generation and Operation on Discrete-Time Sequence — Discrete-Time Systems Transforms — Filter Design using Pole-Zero Placement Method — FIR Filter Design — Infinite Impulse Response Filter — Effect of Quantization of Filter Coefficients — Multi-rate Signal Processing — 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) _0http://id.loc.gov/authorities/subjects/sh96008834
650		0	_aSignal processing. _0http://id.loc.gov/authorities/subjects/sh85122397
650		0	_aAlgorithms. _0http://id.loc.gov/authorities/subjects/sh85003487
650		0	_aComputer science. _0http://id.loc.gov/authorities/subjects/sh89003285
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. _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/no2012073124
700	1		_aN Subudhi, Badri, _eauthor. _4http://id.loc.gov/vocabulary/relators/aut
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756
942			_2lcc
999			_c4120 _d4120