An eigen approach to stable multichannel blind deconvolution under an FIR subspace model

Abstract

Multichannel blind deconvolution is a bilinear inverse problem that recovers an unknown signal observed as convolutions with multiple unknown filters. We are particularly interested in the case where the unknown filters are known to be short-length finite impulse response (FIR) filters a priori. Under this FIR prior, classical methods based on the… (More)

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Cite this paper

@article{Lee2017AnEA, title={An eigen approach to stable multichannel blind deconvolution under an FIR subspace model}, author={Kiryung Lee and Felix Krahmer and Justin Romberg}, journal={2017 International Conference on Sampling Theory and Applications (SampTA)}, year={2017}, pages={386-390} }