Title :
Convergence Analysis of an Adaptive Algorithm With Output Power Constraints
Author :
Kozacky, Walter J. ; Ogunfunmi, Tokunbo
Author_Institution :
Santa Clara Univ., Santa Clara, CA, USA
Abstract :
This brief presents a convergence analysis and simulation for a new algorithm intended for use in systems with an output power constraint. For example, in an active noise control system that generates an antinoise output to destructively cancel the noise source, we impose the additional requirement of limiting the maximum output power level to prevent system overdrive. The result is a computationally efficient algorithm that allows an explicit power level to be set.
Keywords :
adaptive filters; convergence; noise abatement; noise generators; active noise control system; adaptive filtering algorithm; antinoise output generation; convergence analysis; maximum output power level; noise source cancellation; output power constraint; Algorithm design and analysis; Control systems; Convergence; Least squares approximations; Noise; Power generation; Signal processing algorithms; Active noise control (ANC); adaptive filtering; adaptive signal processing;
Journal_Title :
Circuits and Systems II: Express Briefs, IEEE Transactions on
DOI :
10.1109/TCSII.2014.2312637