000 | a | ||
---|---|---|---|
999 |
_c30482 _d30482 |
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008 | 211203b xxu||||| |||| 00| 0 eng d | ||
020 | _a9783030579029 | ||
082 |
_a621.38220285 _bHAS |
||
100 | _aHaslwanter, Thomas | ||
245 | _aHands-on signal analysis with Python : an introduction | ||
260 |
_bSpringer, _c2021 _aCham : |
||
300 |
_axvi, 267 p. ; _bill. (some col.), _c29 cm |
||
365 |
_b74.99 _cEUR _d90.80 |
||
504 | _aIncludes bibliographical references and index. | ||
520 | _aThis 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. | ||
650 | _aSignal, Image and Speech Processing | ||
650 | _aCommunications Engineering, Networks | ||
650 | _aComputational Science and Engineering | ||
650 | _aMathematical and Computational Engineering | ||
650 | _aPython - Computer program language | ||
650 | _aConvolution | ||
650 | _a Decimation | ||
650 | _a Electro-Myography (EMG) | ||
650 | _a Euler's formula | ||
650 | _aMorphological | ||
650 | _a Hypothesis | ||
650 | _aInterpothesis | ||
650 | _aLinear Time Invariant | ||
650 | _a Significant difference | ||
650 | _aStructural element | ||
942 |
_2ddc _cBK |