Digital Signal Processing (Record no. 87371)
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fixed length control field | 03817nam a22005535i 4500 |
001 - CONTROL NUMBER | |
control field | 978-981-99-6752-0 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730171035.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240125s2024 si | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9789819967520 |
-- | 978-981-99-6752-0 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 005.133 |
100 1# - AUTHOR NAME | |
Author | Esakkirajan, S. |
245 10 - TITLE STATEMENT | |
Title | Digital Signal Processing |
Sub Title | Illustration Using Python / |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2024. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XVIII, 523 p. 1 illus. |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 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. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Veerakumar, T. |
700 1# - AUTHOR 2 | |
Author 2 | N Subudhi, Badri. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-981-99-6752-0 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Singapore : |
-- | Springer Nature Singapore : |
-- | Imprint: Springer, |
-- | 2024. |
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-- | computer |
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-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Python (Computer program language). |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal processing. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Algorithms. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Python. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Digital and Analog Signal Processing. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Design and Analysis of Algorithms. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Theory and Algorithms for Application Domains. |
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-- | ZDB-2-SCS |
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-- | ZDB-2-SXCS |
No items available.