Python for Signal Processing
Autor José Unpingcoen Limba Engleză Hardback – 10 oct 2013
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Specificații
ISBN-13: 9783319013411
ISBN-10: 3319013416
Pagini: 140
Ilustrații: X, 128 p. 50 illus. in color.
Dimensiuni: 160 x 241 x 14 mm
Greutate: 0.33 kg
Ediția:2014
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3319013416
Pagini: 140
Ilustrații: X, 128 p. 50 illus. in color.
Dimensiuni: 160 x 241 x 14 mm
Greutate: 0.33 kg
Ediția:2014
Editura: Springer
Locul publicării:Cham, Switzerland
Public țintă
Professional/practitionerCuprins
Introduction.- Sampling Theorem.- Discrete-Time Fourier Transform.- Introducing Spectral Analysis.- Finite Impulse Response Filters.
Notă biografică
Dr. José Unpingco completed his PhD at the University of California, San Diego in 1997 and has since worked in industry as an engineer, consultant, and instructor on a wide-variety of advanced data processing and analysis topics, with deep experience in machine learning and statistics. As the onsite technical director for large-scale Signal and Image Processing for the Department of Defense (DoD), he spearheaded the DoD-wide adoption of scientific Python. He also trained over 600 scientists and engineers to effectively utilize Python for a wide range of scientific topics -- from weather modeling to antenna analysis. Dr. Unpingco is the cofounder and Senior Director for Data Science at a non-profit Medical Research Organization in San Diego, California. He also teaches programming for data analysis at the University of California, San Diego for engineering undergraduate/graduate students. He is author of Python for Signal Processing (Springer 2014) and Python for Probability,Statistics, and Machine Learning (2016)
Textul de pe ultima copertă
This book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which are live, interactive, browser-based documents that allow one to change parameters, redraw plots, and tinker with the ideas presented in the text. Everything in the text is computable in this format and thereby invites readers to “experiment and learn” as they read. The book focuses on the core, fundamental principles of signal processing. The code corresponding to this book uses the core functionality of the scientific Python toolchain that should remain unchanged into the foreseeable future. For those looking to migrate their signal processing codes to Python, this book illustrates the key signal and plotting modules that can ease this transition. For those already comfortable with the scientific Python toolchain, this book illustrates the fundamental concepts in signal processing and provides a gateway to further signal processing concepts.
Caracteristici
Focuses on principles that underpin signal processing as a discipline Uses computable and freely available open-source IPython notebooks Examines working codes which can be found for free online