Abstract
A continuous-time signal can be represented by a discrete-time signal consisting of a sequence of samples \( x(n) = x_{a} (nT) \). It is often necessary to change the sampling rate of a discrete-time signal, i.e., to obtain a new discrete-time representation of the underlying continuous-time signal of the form \( x^{\prime}(n) = x_{a} (nT^{\prime}) \).
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R.E. Crochiere, L.R. Rabiner, Multirate Digital Signal Processing (Prentice-Hall, Englewood Cliffs, NJ, 1983)
E.C. Ifeachor, B.W. Jervis, Digital Signal Processing—A Practical Approach (Prentice Hall, 2002)
O. Herrmann, L.R. Rabiner, D.S.K. Chan, Practical design rules for optimum finite impulse response lowpass digital filters. Bell. Syst. Tech. J. 769–799 (1973)
F. Kaiser, Nonrecursive digital filter design using the −Io n window function. In Proc. 1974 IEEE International Symposium on Circuits and Systems, San Francisco CA, 20–23 April 1974
P.M. Aziz, H.V. Sorensen, J. Van der Spiegel, An overview of Sigma-Delta converters, IEEE Signal Processing Magazine, January 1996
R. Raut, M.N.S. Swamy, Modern analog filter analysis and design, Wiley-VCH, 2010
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Rao, K.D., Swamy, M.N.S. (2018). Basics of Multirate Digital Signal Processing. In: Digital Signal Processing. Springer, Singapore. https://doi.org/10.1007/978-981-10-8081-4_8
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DOI: https://doi.org/10.1007/978-981-10-8081-4_8
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