Quantization Noise of Warped and Parallel Filters Using Floating Point Arithmetic

Bank B, Horváth K. Quantization Noise of Warped and Parallel Filters Using Floating Point Arithmetic. In: AES Convention 142. Audio Engineering Society; 2017.pp. 337:1-. Available from: https://aes.org/publications/elibrary-page/?id=18712

@inproceedings{Bank2017_18712,
  author = {Bank, Balázs and Horváth, Kristóf},
  title = {{Quantization Noise of Warped and Parallel Filters Using Floating Point Arithmetic}},
  booktitle = {AES Convention 142},
  pages = {337:1-},
  year = {2017},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18712}
}

TY  - CPAPER
TI  - Quantization Noise of Warped and Parallel Filters Using Floating Point Arithmetic
AU  - Bank, Balázs
AU  - Horváth, Kristóf
T2  - AES Convention 142
SP  - 1
M1  - Paper 337
PY  - 2017
DA  - 2017/05/06
UR  - https://aes.org/publications/elibrary-page/?id=18712
PB  - Audio Engineering Society
LA  - en
AB  - For audio filter and equalizer design it is desirable to take into account the frequency resolution of hearing. Therefore, various specialized filter design methodologies have been developed, from which warped and parallel filters are particularly appealing options due to their simple design and good approximation properties. This paper compares the quantization noise of two different warped IIR implementations with that of fixed-pole parallel filters in single-precision floating point arithmetic. It is shown by simulations that the parallel filter provides the best compromise between quantization noise and computational complexity, since it significantly outperforms the series second-order warped IIR implementation in terms of noise performance, while requires less computational resources compared to the original warped IIR structure.
ER  -