Co-optimization of FFT and FIR in a delayless acoustic echo canceller implementation
(2000) IEEE International Symposium on Circuits and Systems (ISCAS), 2000 5. p.241-244- Abstract
- In application specific implementation of digital signal processing algorithms optimization is important for a low power solution, not only on block level but also between blocks. This paper presents a co-optimization of a fast Fourier transform and a finite impulse response filter in a silicon implementation of an acoustic echo. The optimization gain can be measured in the number of operations and memory accesses performed per second, and therefore processing power. The optimization can also be applied to other algorithms with a similar constellation of Fourier transforms and finite impulse response filters
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1225624
- author
- Berkeman, Anders LU and Öwall, Viktor LU
- organization
- publishing date
- 2000
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- [Host publication title missing]
- volume
- 5
- pages
- 241 - 244
- conference name
- IEEE International Symposium on Circuits and Systems (ISCAS), 2000
- conference location
- Geneva, Switzerland
- conference dates
- 2000-05-28 - 2000-05-31
- external identifiers
-
- scopus:0033702499
- ISBN
- 0-7803-5482-6
- DOI
- 10.1109/ISCAS.2000.857408
- language
- English
- LU publication?
- yes
- id
- bef9db0b-973c-4bb6-8312-402b052adf9b (old id 1225624)
- date added to LUP
- 2016-04-04 13:00:38
- date last changed
- 2022-01-29 23:41:12
@inproceedings{bef9db0b-973c-4bb6-8312-402b052adf9b, abstract = {{In application specific implementation of digital signal processing algorithms optimization is important for a low power solution, not only on block level but also between blocks. This paper presents a co-optimization of a fast Fourier transform and a finite impulse response filter in a silicon implementation of an acoustic echo. The optimization gain can be measured in the number of operations and memory accesses performed per second, and therefore processing power. The optimization can also be applied to other algorithms with a similar constellation of Fourier transforms and finite impulse response filters}}, author = {{Berkeman, Anders and Öwall, Viktor}}, booktitle = {{[Host publication title missing]}}, isbn = {{0-7803-5482-6}}, language = {{eng}}, pages = {{241--244}}, title = {{Co-optimization of FFT and FIR in a delayless acoustic echo canceller implementation}}, url = {{https://lup.lub.lu.se/search/files/6036219/1227788}}, doi = {{10.1109/ISCAS.2000.857408}}, volume = {{5}}, year = {{2000}}, }