000			01836 a2200205 4500
020			_a9783030018115
040			_cIIT Kanpur
041			_aeng
082			_a512.5 _bR952l
100			_aRyan, Oyvind
245			_aLinear algebra, signal processing, and wavelets - a unified approach _bMATLAB version _cOyvind Ryan
260			_bSpringer Nature _c2019 _aSwitzerland
300			_axxvi, 360p
440			_aSpringer undergraduate texts in mathematics and technology (SUMAT)
490			_a/ edited by Helge Holden
520			_aThis book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications. The approach is novel, and the book can be used in undergraduate courses, for example, following a first course in linear algebra, but is also suitable for use in graduate level courses. The book will benefit anyone with a basic background in linear algebra. It defines fundamental concepts in signal processing and wavelet theory, assuming only a familiarity with elementary linear algebra. No background in signal processing is needed. Additionally, the book demonstrates in detail why linear algebra is often the best way to go. Those with only a signal processing background are also introduced to the world of linear algebra, although a full course is recommended. The book comes in two versions: one based on MATLAB, and one on Python, demonstrating the feasibility and applications of both approaches. Most of the MATLAB code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a computational nature.
650			_aAlgebras, Linear
650			_aWavelets (Mathematics)
942			_cBK
999			_c560439 _d560439