On Implementation of Sparse Finite Impulse Response Secondary Path for Active Noise Control
- Resource Type
- Conference
- Authors
- Guo, Xinnian; Kang, Ziyang; Shen, Yang; Su, Yingna; Ding, Hongyan; Tan, Lizhe
- Source
- 2023 International Conference on Computer, Information and Telecommunication Systems (CITS) Computer, Information and Telecommunication Systems (CITS), 2023 International Conference on. :01-05 Jul, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Finite impulse response filters
Computational modeling
Ducts
Control systems
Numerical simulation
Telecommunications
Numerical models
Active noise control
finite impulse response
sparse secondary path
down sampling
filtered-x least mean square algorithm
- Language
This paper proposes a sparse finite impulse response (FIR) secondary path model for the long duct active noise control system. The sparse coefficients are chosen based on a threshold calculated by a specific ratio of the sparse information to the total information of the secondary coefficients. To further reduce the computational complexity, a down-sampling technique is applied to identify the secondary path. The effectiveness of the proposed algorithm is demonstrated through computational complexity analysis, numerical simulations, and actual experiments for feedforward duct active noise control systems.