000			02642nam a22002897a 4500
999			_c93896 _d93896
005			20260108161421.0
008			260107b ||||| |||| 00| 0 eng d
020			_a9789819967513
041			_aeng
082	0	0	_223 _a621.3822
100	1		_aEsakkirajan, S. , _eauthor.
245			_aDigital signal processing : _billustration using python / _cS. Esakkirajan.
264		1	_aSingapore : _bSpringer, _c[2024].
264		4	_c©2024.
300			_axviii, 523 pages : _bcolor illustrations ; _c23 cm
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
500			_aIncludes index.
505	0		_8CHAPTER 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 -- Provided by the publisher.
650		0	_aSignal processing _xDigital techniques.
650		0	_a Python (Computer program language).
700	1		_aVeerakunar, T. _eauthor.
700	1		_aSubudhi, Badri N., _eauthor.
942			_2ddc _cBK