QRD-based optimal filtering for acoustic noise reduction

We present a new QRD-based technique for optimal multichannel filtering and its application to multichannel acoustic noise reduction. A recursively calculated adaptive filter optimally estimates the speech component in a noisy signal. The complexity of this algorithm is an order of magnitude than that of existing optimal filtering based algorithms which are mainly based upon SVD-decompositions, while performance is kept at the same level.