On the stability of adaptation process in active noise control systems

2011 ◽  
Vol 129 (1) ◽  
pp. 173-184 ◽  
Author(s):  
Iman Tabatabaei Ardekani ◽  
Waleed H. Abdulla
Keyword(s):  
Control Systems ◽  
Noise Control ◽  
Active Noise Control ◽  
Adaptation Process ◽  
Active Noise ◽  
The Stability

Adaptive Algorithms for Active Noise Cancellation Using Time-Varying Convergence Coefficient

2014 ◽  
Vol 592-594 ◽  
pp. 2465-2469
Author(s):  
Gaurav Bharti ◽  
Dhananjay Ghangale ◽  
Dhanesh Manik
Keyword(s):  
Control Systems ◽  
Noise Control ◽  
Mean Squared Error ◽  
Active Noise Control ◽  
Time Varying ◽  
Convergence Factor ◽  
Active Noise ◽  
Novel Approach ◽  
The Stability ◽  
Fixed Parameter Algorithm

— The performance of an ANC system depends on the convergence factor. A suitable value of convergence coefficient is extremely important as it impacts both the speed of convergence and the stability of the adaptive algorithm. Traditionally, in active noise control systems fixed convergence factor is used. In this paper, a novel approach of time-varying convergence factor μ is used and the results are compared with traditional feedforward and feedback noise control systems. This algorithm leads to faster convergence and provides reduced mean-squared error compared to the conventional fixed parameter algorithm.

Coherence-based performance analysis on noise reduction in multichannel active noise control systems

2020 ◽  
Vol 148 (3) ◽  
pp. 1519-1528
Author(s):  
Jihui Aimee Zhang ◽  
Naoki Murata ◽  
Yu Maeno ◽  
Prasanga N. Samarasinghe ◽  
Thushara D. Abhayapala ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Noise Reduction ◽  
Control Systems ◽  
Noise Control ◽  
Active Noise Control ◽  
Active Noise
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