Abstract
In our previous work [1], we studied the geometrical structures of finite impulse response (FIR) filters and present a permutable cascade decovolution structure based on the filter decomposition [1]. The stability of algorithms was not discussed in [2]. In this paper, we further analyze the cascade structures of filter decomposition and obtain the stability conditions of proposed algorithms. Finally, we give some examples to illustrate the stability conditions are sufficiency.
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Xia, B., Zhang, L. (2005). Stability Analysis of Multichannel Blind Deconvolution. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_84
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DOI: https://doi.org/10.1007/11427445_84
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25913-8
Online ISBN: 978-3-540-32067-8
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