You are currently logged in as an
Institutional Subscriber.
If you would like to logout,
please click on the button below.
Home / Publications / E-library page
Only AES members and Institutional Journal Subscribers can download
In audio filtering, Kautz and fixed-pole parallel filters are commonly used, as they have the ability to approximate the frequency resolution of hearing. However, infinite impulse response filters are susceptible to numerical noise, as quantization happens in their feedback loop. This is especially severe in systems where only fixed-point arithmetic is available. In order to limit the noise to an acceptable level, several low-noise second-order structures have been developed. In this paper, the authors compare the numerical noise properties of Kautz and fixed-pole parallel filters implemented in fixed-point arithmetic. The authors present the results for two different scaling methods and show that the common Kautz realization has unacceptable noise levels. Instead, they suggest the use of better performing parallel filters for general (nonadaptive) infinite impulse response filtering and a rearranged all-pass–based Kautz structure for adaptive filtering.
Author (s): Horváth, Kristóf; Bank, Balázs
Affiliation:
Department of Artificial Intelligence and Systems Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary; Department of Artificial Intelligence and Systems Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary
(See document for exact affiliation information.)
Publication Date:
2025-03-07
Import into BibTeX
Permalink: https://aes2.org/publications/elibrary-page/?id=22809
(798KB)
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.
Horváth, Kristóf; Bank, Balázs; 2025; Numerical Noise in Fixed-Pole Parallel and Kautz Filters [PDF]; Department of Artificial Intelligence and Systems Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary; Department of Artificial Intelligence and Systems Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=22809
Horváth, Kristóf; Bank, Balázs; Numerical Noise in Fixed-Pole Parallel and Kautz Filters [PDF]; Department of Artificial Intelligence and Systems Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary; Department of Artificial Intelligence and Systems Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary; Paper ; 2025 Available: https://aes2.org/publications/elibrary-page/?id=22809