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Record Nr. |
UNINA9910299471603321 |
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Autore |
Unpingco José |
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Titolo |
Python for signal processing : featuring IPython notebooks / / Jose Unpingco |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (x, 128 pages) : illustrations (some color) |
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Collana |
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Disciplina |
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005.1 |
005.133 |
620 |
621.382 |
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Soggetti |
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Signal processing - Digital techniques |
Signal processing - Digital techniques - Data processing |
Python (Computer program language) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction -- Sampling Theorem -- Discrete-Time Fourier Transform -- Introducing Spectral Analysis -- Finite Impulse Response Filters. |
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Sommario/riassunto |
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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. . |
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