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|a 10.1007/978-3-540-92954-3
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|a 621.382
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|a Yang, Won Young.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Signals and Systems with MATLAB
|h [electronic resource] /
|c by Won Young Yang.
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|a 1st ed. 2009.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2009.
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|a XV, 474 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Signals and Systems -- Continuous-Time Fourier Analysis -- Discrete-Time Fourier Analysis -- The -Transform -- Sampling and Reconstruction -- Continuous-Time Systems and Discrete-Time Systems -- Analog and Digital Filters -- State Space Analysis of LTI Systems.
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|a This book is primarily intended for junior-level students who take the courses on 'signals and systems'. It may be useful as a reference text for practicing engineers and scientists who want to acquire some of the concepts required for signal proce- ing. The readers are assumed to know the basics about linear algebra, calculus (on complex numbers, differentiation, and integration), differential equations, Laplace R transform, and MATLAB . Some knowledge about circuit systems will be helpful. Knowledge in signals and systems is crucial to students majoring in Electrical Engineering. The main objective of this book is to make the readers prepared for studying advanced subjects on signal processing, communication, and control by covering from the basic concepts of signals and systems to manual-like introduc- R R tions of how to use the MATLAB and Simulink tools for signal analysis and lter design. The features of this book can be summarized as follows: 1. It not only introduces the four Fourier analysis tools, CTFS (continuous-time Fourier series), CTFT (continuous-time Fourier transform), DFT (discrete-time Fourier transform), and DTFS (discrete-time Fourier series), but also illuminates the relationship among them so that the readers can realize why only the DFT of the four tools is used for practical spectral analysis and why/how it differs from the other ones, and further, think about how to reduce the difference to get better information about the spectral characteristics of signals from the DFT analysis.
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650 |
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|a Signal processing.
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|a Computer programming.
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650 |
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|a Fourier analysis.
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650 |
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|a Signal, Speech and Image Processing .
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|a Programming Techniques.
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650 |
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|a Fourier Analysis.
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710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783540939337
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|i Printed edition:
|z 9783642424373
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|i Printed edition:
|z 9783540929536
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|u https://doi.uam.elogim.com/10.1007/978-3-540-92954-3
|z Texto Completo
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912 |
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|a ZDB-2-ENG
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912 |
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|a ZDB-2-SXE
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950 |
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|a Engineering (SpringerNature-11647)
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950 |
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|a Engineering (R0) (SpringerNature-43712)
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