000			04187nam a22004215i 4500
999			_c387571 _d387571
001			387571
003			ES-MaUEC
005			20230326111846.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			220601s2008 sz | s |||| 0|eng d
020			_a9783031025280
024	7		_a10.1007/978-3-031-02528-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5102.9 _b2008 EB
100	1		_aIsen, Forester W. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687634 _d1949- _q(Forester William),
245	1	0	_aDSP for MATLAB™ and LabVIEW™ I : _bFundamentals of Discrete Signal Processing _cby Forester Isen
250			_a1st edition 2008
264		1	_aCham _bSpringer International Publishing _c2008
300			_a1 recurso en línea (XVI, 217 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Signal Processing _x1932-1694
505	0		_aAn Overview of DSP -- Discrete Signals and Concepts -- Sampling and Binary Representation -- Transform and Filtering Principles.
520			_aThis book is Volume I of the series DSP for MATLAB™ and LabVIEW™. The entire series consists of four volumes that collectively cover basic digital signal processing in a practical and accessible manner, but which nonetheless include all essential foundation mathematics. As the series title implies, the scripts (of which there are more than 200) described in the text and supplied in code form here will run on both MATLAB and LabVIEW. Volume I consists of four chapters. The first chapter gives a brief overview of the field of digital signal processing. This is followed by a chapter detailing many useful signals and concepts, including convolution, recursion, difference equations, LTI systems, etc. The third chapter covers conversion from the continuous to discrete domain and back (i.e., analog-to-digital and digital-to-analog conversion), aliasing, the Nyquist rate, normalized frequency, conversion from one sample rate to another, waveform generation at various sample rates from stored wave data, and Mu-law compression. The fourth and final chapter of the present volume introduces the reader to many important principles of signal processing, including correlation, the correlation sequence, the Real DFT, correlation by convolution, matched filtering, simple FIR filters, and simple IIR filters. Chapter 4, in particular, provides an intuitive or "first principle" understanding of how digital filtering and frequency transforms work, preparing the reader for Volumes II and III, which provide, respectively, detailed coverage of discrete frequency transforms (including the Discrete Time Fourier Transform, the Discrete Fourier Transform, and the z-Transform) and digital filter design (FIR design using Windowing, Frequency Sampling, and Optimum Equiripple techniques, and Classical IIR design). Volume IV, the culmination of the series, is an introductory treatment of LMS Adaptive Filtering and applications. The text for all volumes contains many examples, and many useful computational scripts, augmented by demonstration scripts and LabVIEW Virtual Instruments (VIs) that can be run to illustrate various signal processing concepts graphically on the user's computer screen. Table of Contents: An Overview of DSP / Discrete Signals and Concepts / Sampling and Binary Representation / Transform and Filtering Principles.
988			_aSynthesis Collection of Technology_2008
630	0	0	_9683084 _aMATLAB (Archivo de ordenador)
630		0	_9683555 _aLabVIEW (Archivo de ordenador)
650		7	_2embne _9150609 _aProceso digital de señales
776	0	8	_iPrinted edition: _z9783031014000
776	0	8	_iPrinted edition: _z9783031036569
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02528-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI