{"product_id":"digital-signal-processing-illustration-using-python-paperback","title":"Digital Signal Processing: Illustration Using Python - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eS. Esakkirajan\u003c\/b\u003e (Author), \u003cb\u003eT. Veerakumar\u003c\/b\u003e (Author), \u003cb\u003eBadri N. Subudhi\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDigital 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. \u003c\/p\u003e\u003cp\u003eDigital 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. \u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eDigital 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.\u003c\/p\u003e\u003cp\u003eDigital 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. \u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eS. Esakkirajan is working as Professor in the Department of\u003c\/p\u003e\u003cp\u003eInstrumentation and Control Systems Engineering, PSG College of Technology, \u003c\/p\u003e\u003cp\u003eCoimbatore. He has twenty years of teaching experience. He has guided four\u003c\/p\u003e\u003cp\u003eresearch scholars in the area of signal and image processing. He has published\u003c\/p\u003e\u003cp\u003eDigital Signal Processing and Digital Image Processing text books published by\u003c\/p\u003e\u003cp\u003eMcGraw Hill. He was the organizing secretary of IEEE International Conference\u003c\/p\u003e\u003cp\u003eon \"Machine Vision and Image Processing\" in the year 2012. He has published\u003c\/p\u003e\u003cp\u003epapers in the field of signal and image processing in reputed journals and\u003c\/p\u003e\u003cp\u003econferences. \u003c\/p\u003e\u003cp\u003eT. Veerakumar is an Associate Professor in the Department of\u003c\/p\u003e\u003cp\u003eElectronics and Communication Engineering, National Institute of Technology, \u003c\/p\u003e\u003cp\u003eGoa. He graduated with a B.E. in Electronics and Communication Engineering from\u003c\/p\u003e\u003cp\u003eRVS College of Engineering Technology, Dindigul. Then, he did an M.E. degree in\u003c\/p\u003e\u003cp\u003eApplied Electronics from PSG College of Technology, Coimbatore, and a Ph.D. in\u003c\/p\u003e\u003cp\u003eImage Denoising from Anna University, Chennai. He co-authored the Text Book\u003c\/p\u003e\u003cp\u003etitled \"Digital Image Processing\" and \"Digital Signal Processing,\" published by\u003c\/p\u003e\u003cp\u003eTata McGraw Hill. In addition, he has published around 60 research articles in\u003c\/p\u003ereputed Journals and Conferences. His area of interest includes Signal and\u003cp\u003e\u003c\/p\u003e\u003cp\u003eImage Processing, Biomedical Image Processing, Object Detection, and Tracking.\u003c\/p\u003e\u003cp\u003eBadri Narayan Subudhi received M.Tech. in\u003c\/p\u003e\u003cp\u003eElectronics and System Communication from National Institute of Technology, \u003c\/p\u003e\u003cp\u003eRourkela, India, in 2008-09. He worked for his PhD from Machine Intelligence\u003c\/p\u003e\u003cp\u003eUnit, Indian Statistical Institute, Kolkata, India in year 2014 (degree from\u003c\/p\u003e\u003cp\u003eJadavpur University). Currently he is serving as an Assistant Professor at\u003c\/p\u003e\u003cp\u003eIndian Institute of Technology Jammu, India. Prior to this he was working as an\u003c\/p\u003e\u003cp\u003eAssistant Professor at NIT Goa from July 2014 to March 2017. He received CSIR\u003c\/p\u003e\u003cp\u003esenior research fellowship for the year 2011-2015. He was nominated as the\u003c\/p\u003e\u003cp\u003eYoung Scientist Awardees by Indian Science Congress Association for the year\u003c\/p\u003e\u003cp\u003e2012-2013. He was awarded with Young Scientist Travel grant award from DST, \u003c\/p\u003e\u003cp\u003eGovernment of India and Council of Scientific and Industrial Research, India in\u003c\/p\u003e\u003cp\u003ethe year 2011. He is the recipient of Bose-Ramagnosi Award for the year 2010\u003c\/p\u003e\u003cp\u003efrom DST, Government of India under India-Trento Programme for Advanced\u003c\/p\u003e\u003cp\u003eResearch (ITPAR). He was a visiting scientist at University of Trento, Italy\u003c\/p\u003e\u003cp\u003eduring Aug. 2010 to Feb 2011. His research interests include Video Processing, \u003c\/p\u003eImage Processing, Medical Image Processing, Machine Learning, Pattern\u003cp\u003e\u003c\/p\u003e\u003cp\u003eRecognition, and Remote Sensing Image Analysis. He co-authored the Text Book\u003c\/p\u003e\u003cp\u003etitled \"Digital Signal Processing,\" published by Tata McGraw Hill. He has\u003c\/p\u003e\u003cp\u003epublished around 80 research papers in reputed journals and conferences. He is\u003c\/p\u003e\u003cp\u003ea senior member IEEE.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 523\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.1 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 26, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47213178814713,"sku":"9789819967513","price":129.58,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/7xrH0RLq_j9789819967513.webp?v=1768104246","url":"https:\/\/bookscloud.io\/products\/digital-signal-processing-illustration-using-python-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}