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Volumn 37, Issue 3, 1989, Pages 433-436

Estimation of All-Pole Model Parameters from Noise-Corrupted Sequences

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; MATHEMATICAL TECHNIQUES--POLES AND ZEROS; NOISE, SPURIOUS SIGNAL--WHITE NOISE; SPECTRUM ANALYSIS; SPEECH--PROCESSING;

EID: 0024627975     PISSN: 00963518     EISSN: None     Source Type: Journal    
DOI: 10.1109/29.21712     Document Type: Article
Times cited : (14)

References (23)
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    • “The effects of noise on the autoregressive spectral esti- On Bi-Orthogonality of Hermitian and Skew Hermitian Szego ö/Levinson Polynomials SALVATORE D. MORGERA Abstract-A system of polynomials, bi-orthogonal with respect to a given weight function which is not necessarily even, is constructed from a corresponding system of Szegoö or Levinson polynomials. Two-term coupled recurrences are presented for the bi-orthogonal polynomial system, and it is shown that these recurrences reduce to a pair of three-term uncoupled recurrences in the case that the unit circle weight function is even. Several observations relative to recent linear prediction algorithms employing Hermitian and skew-Hermitian Levinson polynomials are discussed. The author is with the Department of Electrical Engineering, McGill University, McConnell Engineering Building-Room 514, 3480 University Street, Montreal H3A 2A7, P.Q., Canada.
    • S.M. Kay, “The effects of noise on the autoregressive spectral esti- On Bi-Orthogonality of Hermitian and Skew Hermitian Szego ö/Levinson Polynomials SALVATORE D. MORGERA Abstract-A system of polynomials, bi-orthogonal with respect to a given weight function which is not necessarily even, is constructed from a corresponding system of Szegoö or Levinson polynomials. Two-term coupled recurrences are presented for the bi-orthogonal polynomial system, and it is shown that these recurrences reduce to a pair of three-term uncoupled recurrences in the case that the unit circle weight function is even. Several observations relative to recent linear prediction algorithms employing Hermitian and skew-Hermitian Levinson polynomials are discussed. The author is with the Department of Electrical Engineering, McGill University, McConnell Engineering Building-Room 514, 3480 University Street, Montreal H3A 2A7, P.Q., Canada.
    • Kay, S.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.