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Filter Banks

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Digital Signal Processing with Matlab Examples, Volume 2

Part of the book series: Signals and Communication Technology ((SCT))

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Abstract

Filter banks allow signals to be decomposed into subbands. In this way, parallel powerful processing can be easily applied. Also, the decomposition paves the way for signal compression procedures. Due to these reasons, the interest on filter banks has significantly grown along years, so today there is large body of theory on this matter. This chapter is also important for other reasons, since it serves as one of the pertinent ways for introducing wavelets, as it will be confirmed in the next chapter and other parts of this book. The main topic in relation with filter banks and wavelets is ‘perfect reconstruction’, which is treated in detail. Some interesting aspects in this chapter are lattice structures, allpass filters, the discrete cosine transform (DCT), JPEG, and watermarking.

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Authors and Affiliations

  1. Systems Engineering and Automatic Control, Universidad Complutense de Madrid, Madrid, Spain

    Jose Maria Giron-Sierra

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  1. Jose Maria Giron-Sierra
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Correspondence to Jose Maria Giron-Sierra .

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Giron-Sierra, J.M. (2017). Filter Banks. In: Digital Signal Processing with Matlab Examples, Volume 2. Signals and Communication Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-2537-2_1

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  • DOI: https://doi.org/10.1007/978-981-10-2537-2_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2536-5

  • Online ISBN: 978-981-10-2537-2

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