A new class of discrete orthogonal polynomials for blind fitting of finite data

Authors:
Luis J. Morales-Mendoza;Hamurabi Gamboa-Rosales;Yuriy S. Shmaliy
Affiliations:
Universidad Veracruzana, Department of Electronics Engineering, Poza Rica 93390, Mexico;Universidad Autónoma de Zacatecas, Department of Electronics Engineering, 98000 Zacatecas, Mexico;Universidad de Guanajuato, Department of Electronics Engineering, 36855 Salamanca, Gto., Mexico
Venue:
Signal Processing
Year:
2013

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Abstract

We show that the polynomial unbiased finite impulse response (UFIR) functions derived by Shmaliy establish a new class of a one-parameter family of discrete orthogonal polynomials (DOP). The most noticeable distinction of these polynomials with respect to the classical Meixner, Charlier, Hahn, and Krawtchouk DOP is dependence on only one parameter-the length of finite data. This makes them highly attractive for L-order blind fitting and analysis of informative processes. Properties of the UFIR polynomials are considered in detail along with the moments and recurrence relation. Examples of applications are given to blind approximation and phoneme pitch analysis.