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On the Application of Digital Signal Processing Theory to Solving Combinatorial Problems in Statistics

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Abstract

This paper shows (in tutorial fashion) how a particular problem in combinatorial mathematics and statistics may be easily solved when it is reformulated (using ztransforms) in a way amenable to solution using digital signal processing (DSP) theory. DSP also allows insights into the nature of the solution and other properties that at first might not be apparent to engineers attempting a mathematician’s non-DSP approach via generating functions, etc.—although both methods are essentially the same, differing only in name and nomenclature.

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Authors and Affiliations

  1. The Institute of Integrated Information Systems, School of Electronic and Electrical Engineering, The University of Leeds, Leeds LS2 9JT, United Kingdom

    Desmond C. McLernon

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  1. Desmond C. McLernon
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Correspondence to Desmond C. McLernon.

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McLernon, D. On the Application of Digital Signal Processing Theory to Solving Combinatorial Problems in Statistics. Circuits Syst Signal Process 22, 405–422 (2003). https://doi.org/10.1007/s00034-004-7040-2

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  • DOI: https://doi.org/10.1007/s00034-004-7040-2

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