Latest Advances in Active Noise Control

Dear Colleagues

We have seen recent exponential growth in active noise control (ANC) applications, especially in commercial headphones and hearing devices, and engine and road noise control in the automobile. These commercial successes have also spurred academic and industry interest in investigating the application of new signal processing and artificial intelligence techniques to take on more complex and dynamic noise control problems in the real world. Furthermore, with the advancement of low-cost, fast-computation, and low-power embedded processors, which can implement more complex multi-channel adaptive signal processing algorithms in real-time, and coupled with reliable sensors and actuators, we are expecting to see more innovative products that harness the power of ANC to make quieter machinery, appliances, and, eventually, quiet down our living and working environments. We are also witnessing huge advancements in the latest machine and deep learning techniques in solving and continually improving many AI-based sound systems, and there are huge opportunities to bring these advanced techniques into the ANC applications. For this Special Issue, we are inviting the latest research findings, new approaches, and applications of the “Latest Advances in Active Noise Control” to better mitigate acoustical noise in a more efficient manner and approach.

Original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Active noise control algorithms
• Applying machine learning / deep learning in active noise control
• Integration of active noise control subsystems
• New applications of active noise control
• New techniques in active noise control headphones, automobiles, and spaces
• Sensor and actuator
• Sound masking for active noise control
• Virtual sensing and noise control
• Real-time implementation of the novel active control technique

Dr. Dongyuan Shi
Prof. Dr. Woon-Seng Gan
Dr. Chuang Shi
Guest Editors

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