Abstract
As the theory of Digital Signal Processing (DSP) is based on its predecessor, Analog Signal Processing (ASP), a study of analog signals and systems is necessary. This chapter handles the representation of analog signals and systems in the time domain and in the frequency domain. Core topics covered are continuous-time convolution, analog transforms (Fourier and Laplace), analog filters, and random signal analysis. It also includes some applications of ASP like signal detection in noise and radar range estimation.
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References
Bueche, F.J., Hecht, E.: College Physics. Schaum's Outline Series. McGraw-Hill, New York (2000)
Carlson, G.: Signal and Linear System Analysis. Wiley, London (1998)
Hsu, H.: Signals and Systems. Schaum’s Outline Series. McGraw-Hill, New York (1995)
Franco, S.: Design with Operational Amplifiers and Analog Integrated Circuits. McGraw-Hill, New York (2001)
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© 2011 Springer-Verlag Berlin Heidelberg
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O’Shea, P., Sadik, A.Z., Hussain, Z.M. (2011). Analog Signals and Systems. In: Digital Signal Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15591-8_1
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DOI: https://doi.org/10.1007/978-3-642-15591-8_1
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15590-1
Online ISBN: 978-3-642-15591-8
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