02747oam 2200505 450 991029947160332120190911112725.03-319-01342-410.1007/978-3-319-01342-8(OCoLC)865653775(MiFhGG)GVRL6VMI(EXLCZ)99371000000002566220130731d2014 uy 0engurun|---uuuuatxtccrPython for signal processing featuring IPython notebooks /Jose Unpingco1st ed. 2014.Cham, Switzerland :Springer,2014.1 online resource (x, 128 pages) illustrations (some color)Gale eBooksDescription based upon print version of record.3-319-01341-6 Includes bibliographical references and index.Introduction -- Sampling Theorem -- Discrete-Time Fourier Transform -- Introducing Spectral Analysis -- Finite Impulse Response Filters.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.  .Signal processingDigital techniquesSignal processingDigital techniquesData processingPython (Computer program language)Signal processingDigital techniques.Signal processingDigital techniquesData processing.Python (Computer program language)005.1005.133620621.382Unpingco Joséauthttp://id.loc.gov/vocabulary/relators/aut762830MiFhGGMiFhGGBOOK9910299471603321Python for Signal Processing2262106UNINA