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Hands-on Signal Analysis with Python - An Introduction (Paperback, 1st ed. 2021)
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Hands-on Signal Analysis with Python - An Introduction (Paperback, 1st ed. 2021)
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This book provides the tools for analyzing data in Python:
different types of filters are introduced and explained, such as
FIR-, IIR- and morphological filters, as well as their application
to one- and two-dimensional data. The required mathematics are kept
to a minimum, and numerous examples and working Python programs are
included for a quick start. The goal of the book is to enable also
novice users to choose appropriate methods and to complete
real-world tasks such as differentiation, integration, and
smoothing of time series, or simple edge detection in images. An
introductory section provides help and tips for getting Python
installed and configured on your computer. More advanced chapters
provide a practical introduction to the Fourier transform and its
applications such as sound processing, as well as to the solution
of equations of motion with the Laplace transform. A brief
excursion into machine learning shows the powerful tools that are
available with Python. This book also provides tips for an
efficient programming work flow: from the use of a debugger for
finding mistakes, code-versioning with git to avoid the loss of
working programs, to the construction of graphical user interfaces
(GUIs) for the visualization of data. Working, well-documented
Python solutions are included for all exercises, and
IPython/Jupyter notebooks provide additional help to get people
started and outlooks for the interested reader.
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