In this paper the classical and generalized numerical Rogers-Ramanujan continued fractions are extended to a polynomial continued fraction in one and two dimensions. Using the new continued fractions, the fundamental recurrence formulas and a fast algorithm, based on matrix formulations, are given for the computation of their transfer functions. The presented matrix formulations can provide a new perspective to the analysis and design of Ladder-continued fraction filters in one and two dimensions signal processing. The simplicity and efficiency of the presented algorithms are illustrated by step-by-step examples.
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Natl Univ Singapore, Dept Math, Singapore 119260, SingaporeE China Normal Univ, Dept Math, Shanghai 200241, Peoples R China
Chan, Heng Huat
Chan, Song Heng
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Nanyang Technol Univ, Sch Phys & Math Sci, Div Math Sci, Singapore 637371, SingaporeE China Normal Univ, Dept Math, Shanghai 200241, Peoples R China
Chan, Song Heng
Liu, Zhi-Guo
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E China Normal Univ, Dept Math, Shanghai 200241, Peoples R ChinaE China Normal Univ, Dept Math, Shanghai 200241, Peoples R China
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Massey Univ Albany, North Shore Mail Ctr, Inst Nat & Math Sci, Auckland, New ZealandMassey Univ Albany, North Shore Mail Ctr, Inst Nat & Math Sci, Auckland, New Zealand
Cooper, Shaun
Ye, Dongxi
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Massey Univ Albany, North Shore Mail Ctr, Inst Nat & Math Sci, Auckland, New ZealandMassey Univ Albany, North Shore Mail Ctr, Inst Nat & Math Sci, Auckland, New Zealand