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  1. This book explores the domain of signal processing using Python, with the help of working examples and accompanying code. The book introduces the concepts of Python programming via signal processing with numerous hands-on examples and code snippets.

  2. 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.

  3. All the Python programs that go with the book: Code samples (also called Quantlets) Solutions for the Exercises in the book. Code-listings, i.e. Python programs printed in the book. Code to generate the Figures in the book.

  4. This textbook is an excellent, understandable and motivating book and also a good starting point for the practical signal processing with Python. It provides the readers with a toolbox that allows them to solve most practical tasks that come up in signal processing.

  5. Throughout this textbook you will become very familiar with how IQ samples work, how to receive and transmit them with an SDR, how to process them in Python, and how to save them to a file for later analysis.

  6. 4 paź 2013 · 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...

  7. The objective of this book is to develop signal processing algorithms using Python. Python is an interpreted, object-oriented high-level programming language widely used in various software development fields such as data science, machine learning, web development and more.

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