2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100)
DOI: 10.1109/icassp.2000.861987
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A linearly-constrained approach to the interpolated FIR filtering problem

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Cited by 9 publications
(9 citation statements)
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“…A novel AIFIR scheme where the interpolator is rendered adaptive is discussed and designed with both MMSE and MV design criteria. The new scheme, introduced in [25], [26], yields a performance superior to conventional AIFIR schemes [22], [23] (where the interpolator is fixed) and a faster convergence performance than full-rank and other existing reduced-rank receivers. Computationally efficient stochastic gradient (SG) and recursive least squares (RLS) type adaptive algorithms are developed for the new structure based upon the MMSE and MV performance criteria with appropriate constraints to mitigate MAI, ISI and jointly estimate the channel.…”
Section: Introductionmentioning
confidence: 99%
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“…A novel AIFIR scheme where the interpolator is rendered adaptive is discussed and designed with both MMSE and MV design criteria. The new scheme, introduced in [25], [26], yields a performance superior to conventional AIFIR schemes [22], [23] (where the interpolator is fixed) and a faster convergence performance than full-rank and other existing reduced-rank receivers. Computationally efficient stochastic gradient (SG) and recursive least squares (RLS) type adaptive algorithms are developed for the new structure based upon the MMSE and MV performance criteria with appropriate constraints to mitigate MAI, ISI and jointly estimate the channel.…”
Section: Introductionmentioning
confidence: 99%
“…This technique exhibits desirable properties, such as guaranteed stability, absence of limit cycles and low computational complexity. Thus, adaptive IFIR (AIFIR) filters [22], [23] represent an interesting alternative for substituting classical adaptive FIR filters. In some applications they show better convergence rate and can reduce the computational burden for filtering and coefficient updating, due to the reduced number of adaptive elements.…”
Section: Introductionmentioning
confidence: 99%
“…Interpolated FIR (IFIR) filters [5], [6] have been widely applied in the context of digital filtering, although their use for parameter estimation in communications remains unexplored. These structures retain the advantages of original FIR filters, show better convergence rate and can reduce the computational burden for parameter estimation, due to the reduced number of elements.…”
Section: Introductionmentioning
confidence: 99%
“…In this letter, a novel IFIR scheme for the suppression of MAI and ISI with IFIR filters is proposed and supervised and blind solutions for both interpolator and receiver are presented. The new structure uses a more effective time-varying interpolator rather than the fixed interpolator approach of [6].…”
Section: Introductionmentioning
confidence: 99%
“…Recentemente, a filtragem de Wiener interpolada foi tratada como um problema de otimização com restrições lineares [4]- [6]. Uma nova estrutura de implementação foi apresentada e o filtro ótimo de Wiener interpolado foi definido.…”
Section: Introductionunclassified