Prediction Filter Design for Active Noise Cancellation Headphones
نویسنده
چکیده
Digital active noise control (ANC) for headphones usually has to predict the noise because of the latency of AD-conversion. In adaptive feedback ANC, the prediction is based on the noise that entered the headphone. This noise is low pass filtered due to the physical barrier of the ear cups. In this paper, this low pass characteristic is exploited to define a prediction filter which does not require real-time updates. For broad band noises, the prediction filter performs better than adaptive prediction methods like the least mean squares (LMS) algorithm or iterated one-step predictions.
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