Unpingco, Jos�e.
Python for Signal Processing Featuring IPython Notebooks / [electronic resource] : by Jos�e Unpingco. - X, 128 p. 50 illus. in color. online resource.
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. .
9783319013428
10.1007/978-3-319-01342-8 doi
Engineering.
Software engineering.
Electrical engineering.
Engineering.
Signal, Image and Speech Processing.
Software Engineering/Programming and Operating Systems.
Communications Engineering, Networks.
TK5102.9 TA1637-1638 TK7882.S65
621.382
Python for Signal Processing Featuring IPython Notebooks / [electronic resource] : by Jos�e Unpingco. - X, 128 p. 50 illus. in color. online resource.
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. .
9783319013428
10.1007/978-3-319-01342-8 doi
Engineering.
Software engineering.
Electrical engineering.
Engineering.
Signal, Image and Speech Processing.
Software Engineering/Programming and Operating Systems.
Communications Engineering, Networks.
TK5102.9 TA1637-1638 TK7882.S65
621.382