This paper is concerned with problems evolving around the implementation of a frequency-domain adaptive noise canceller on a fixed-point signal processor. In particular, we propose methods to improve the convergence speed and reduce the computational complexity of a constrained frequency-domain algorithm that uses a time-varying step size. In addition, we study the effects of finite word length and fixed-point arithmetic. Improvements are realized by adopting a new data reusing scheme and by applying running and pruned FFT's. Results are given using synthetic data, as well as data from noise cancellation experiments.
|Original language||English (US)|
|Number of pages||5|
|Journal||IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing|
|State||Published - Feb 1994|
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering