|
Кількість
|
Вартість
|
||
|
|
|||
|
|
|||
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.
About the Author
S. Esakkirajan is working as Professor in the Department of Instrumentation and Control Systems Engineering, PSG College of Technology, Coimbatore. He has twenty years of teaching experience. He has guided four research scholars in the area of signal and image processing. He has published Digital Signal Processing and Digital Image Processing text books published by McGraw Hill. He was the organizing secretary of IEEE International Conference on “Machine Vision and Image Processing” in the year 2012. He has published papers in the field of signal and image processing in reputed journals and conferences.
T. Veerakumar is an Associate Professor in the Department of Electronics and Communication Engineering, National Institute of Technology, Goa. He graduated with a B.E. in Electronics and Communication Engineering from RVS College of Engineering Technology, Dindigul. Then, he did an M.E. degree in Applied Electronics from PSG College of Technology, Coimbatore, and a Ph.D. in Image Denoising from Anna University, Chennai. He co-authored the Text Book titled “Digital Image Processing” and “Digital Signal Processing,” published by Tata McGraw Hill. In addition, he has published around 60 research articles in ,
reputed Journals and Conferences. His area of interest includes Signal and Image Processing, Biomedical Image Processing, Object Detection, and Tracking.
Badri Narayan Subudhi received M.Tech. in Electronics and System Communication from National Institute of Technology, Rourkela, India, in 2008-09. He worked for his PhD from Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India in year 2014 (degree from Jadavpur University). Currently he is serving as an Assistant Professor at Indian Institute of Technology Jammu, India. Prior to this he was working as an Assistant Professor at NIT Goa fromJuly 2014 to March 2017. He received CSIR senior research fellowship for the year 2011-2015. He was nominated as the Young Scientist Awardees by Indian Science Congress Association for the year 2012-2013. He was awarded with Young Scientist Travel grant award from DST, Government of India and Council of Scientific and Industrial Research, India in the year 2011. He is the recipient of Bose-Ramagnosi Award for the year 2010 from DST, Government of India under India-Trento Programme for Advanced Research (ITPAR). He was a visiting scientist at University of Trento, Italy during Aug. 2010 to Feb 2011. His research interests include Video Processing, Image Processing, Medical Image Processing, Machine Learning, Pattern Recognition, and Remote Sensing Image Analysis. He co-authored the Text Book titled “Digital Signal Processing,” published by Tata McGraw Hill. He has published around 80 research papers in reputed journals and conferences. He is a senior member IEEE.