DocumentCode
259063
Title
Least-squares design of IIR all-pass filters using closed-form Toeplitz-plus-Hankel matrix
Author
Yue-Dar Jou ; Fu-Kun Chen
Author_Institution
Dept. of Electr. Eng., R.O.C. Mil. Acad., Kaohsiung, Taiwan
fYear
2014
fDate
17-20 Nov. 2014
Firstpage
503
Lastpage
506
Abstract
Least-squares design of infinite impulse response all-pass filters can be simplified by solving a system of linear equations. The set of linear equations associated matrix is further formulated as a Toeplitz-plus-Hankel form such that an efficient and robust Cholesky decomposition or Levinson technique can solve the all-pass filter coefficients. This paper proposes closed-form expressions for the computation of Toeplitz-plus-Hankel matrix. The elements of the closed-form expressions can be directly derived as the passband edges are specified without performing the sum of a series of Toeplitz-plus-Hankel matrix. Simulation results indicate that the proposed method achieves excellent performance with computational efficiency.
Keywords
Hankel matrices; IIR filters; Toeplitz matrices; all-pass filters; least squares approximations; Cholesky decomposition; IIR all-pass filters; Levinson technique; all-pass filter coefficients; closed-form Toeplitz-plus-Hankel matrix; closed-form expressions; computational efficiency; infinite impulse response; least-squares design; linear equations; passband edges; Algorithm design and analysis; Digital filters; Equations; Filtering algorithms; IIR filters; Maximum likelihood detection; Nonlinear filters; Toeplitz-plus-Hankel; all-pass; closed-form; infinite impulse response; least-squares;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (APCCAS), 2014 IEEE Asia Pacific Conference on
Conference_Location
Ishigaki
Type
conf
DOI
10.1109/APCCAS.2014.7032829
Filename
7032829
Link To Document