| Abstrakt: |
The problem of noise is becoming more acute since the prevalence of industrial and medical equipment, appliances, and consumer gadgets increases. Active noise control (ANC), which is based on the principle of superposition, was developed in the early twentieth century to help with noise reduction. Yet, due to the efficiency of control algorithms and the physical and financial constraints of practical applications, ANC is still not widely used. The future of active noise control in industry is dependent on a number of aspects, including hardware configuration and cost, user-friendly software, generality of system design, development of low-cost, long-lasting actuators and sensors, and acceptance of what is and is not possible. In this work, the appropriate filter length and step size for the LMS-based adaptive algorithm are discussed in order to ensure that the method achieves the highest possible noise reduction. [ABSTRACT FROM AUTHOR] |
