Python for signal processing : featuring IPython notebooks (Record no. 32500)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230901b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319343570
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.3822
Item number UNP
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Unpingco, Jose
245 ## - TITLE STATEMENT
Title Python for signal processing : featuring IPython notebooks
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc 2014
Place of publication, distribution, etc Cham :
300 ## - PHYSICAL DESCRIPTION
Extent x, 128 p. ;
Other physical details ill., (some col.),
Dimensions 24 cm
365 ## - TRADE PRICE
Price amount 89.99
Price type code EUR
Unit of pricing 94.90
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Spectral leakage
Topical term or geographic name as entry element Sampling frequency
Topical term or geographic name as entry element Numpy arrays
Topical term or geographic name as entry element Matplotlib
Topical term or geographic name as entry element Gibbs phenomenon
Topical term or geographic name as entry element Finite Impulse response
Topical term or geographic name as entry element DFT matrix
Topical term or geographic name as entry element Circular convolution
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2023-08-26 8540.05 621.3822 UNP 034156 2023-09-01 Books

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