Adaptive noise cancelling systems for acoustic wearable device
Acoustic noise is present in many environments. Such noise is undesirable and provides a poor listening experience. Active noise cancellation refers to the fact of reducing undesired noise using a cancelling signal emitted trough a secondary source. Many methods are proposed to perform active noise cancellation on headphones. In this work, we are interested in performing digital active noise cancellation for a wearable device. There are many challenges for such a system. The noise cancellation process has to be performed in real time therefore as fast as possible. Besides, all the operations of such a system has to be digitally processed. Therefore, one of the most important points is to evaluate the performance of the different methods and algorithms needed for performing digital active noise cancellation on real time.