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Engineering - Signals & Communication | Python for Signal Processing - Featuring IPython Notebooks

Python for Signal Processing

Featuring IPython Notebooks

Unpingco, José

2014, X, 128 p. 50 illus. in color.

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  • 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

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.

 

Content Level » Professional/practitioner

Keywords » Digital Communication - Discrete-Time Signal Processing - IPython Signal Processing - Linear Systems - Python Signal Processing - Signal Analysis - Signal Estimation - Signal Processing - Signal Projection

Related subjects » Signals & Communication - Software Engineering

Table of contents 

Introduction.- Sampling Theorem.- Discrete-Time Fourier Transform.- Introducing Spectral Analysis.- Finite Impulse Response Filters.

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