Abstract
In this last chapter, we are going to estimate L samples of the desired signal from NL observations, where N is the number of microphones and L is the number of samples from each microphone signal. This time, a rectangular filtering matrix of size \(L \times NL\) is required for the estimation of the desired signal vector. The signal model is the same as in Sect. 4.1; so we start by explaining the principle of multichannel linear filtering with a rectangular matrix.
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S. Doclo, M. Moonen, GSVD-based optimal filtering for single and multimicrophone speech enhancement. IEEE Trans. Signal Process. 50, 2230–2244 (2002)
J. Benesty, J. Chen, Y. Huang, Microphone Array Signal Processing (Springer, Berlin, 2008)
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© 2011 Springer-Verlag Berlin Heidelberg
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Benesty, J., Chen, J. (2011). Multichannel Noise Reduction with a Rectangular Filtering Matrix. In: Optimal Time-Domain Noise Reduction Filters. SpringerBriefs in Electrical and Computer Engineering(), vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19601-0_5
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DOI: https://doi.org/10.1007/978-3-642-19601-0_5
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