000 | a | ||
---|---|---|---|
999 |
_c32500 _d32500 |
||
008 | 230901b xxu||||| |||| 00| 0 eng d | ||
020 | _a9783319343570 | ||
082 |
_a621.3822 _bUNP |
||
100 | _aUnpingco, Jose | ||
245 | _aPython for signal processing : featuring IPython notebooks | ||
260 |
_bSpringer, _c2014 _aCham : |
||
300 |
_ax, 128 p. ; _bill., (some col.), _c24 cm |
||
365 |
_b89.99 _cEUR _d94.90 |
||
504 | _aIncludes bibliographical references and index. | ||
520 | _aThis 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. | ||
650 | _aSpectral leakage | ||
650 | _aSampling frequency | ||
650 | _aNumpy arrays | ||
650 | _aMatplotlib | ||
650 | _aGibbs phenomenon | ||
650 | _aFinite Impulse response | ||
650 | _aDFT matrix | ||
650 | _aCircular convolution | ||
942 |
_2ddc _cBK |