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Composite signal decomposition by digital inverse filtering

Ananthapadmanabha, T (1979) Composite signal decomposition by digital inverse filtering. In: IEEE Transactions on Acoustics, Speech, & Signal Processing, 27 (1). pp. 95-97.

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Inverse filters are conventionally used for resolving overlapping signals of identical waveshape. However, the inverse filtering approach is shown to be useful for resolving overlapping signals, identical or otherwise, of unknown waveshapes. Digital inverse filter design based on autocorrelation formulation of linear prediction is known to perform optimum spectral flattening of the input signal for which the filter is designed. This property of the inverse filter is used to accomplish composite signal decomposition. The theory has been presented assuming constituent signals to be responses of all-pole filters. However, the approach may be used for a general situation.

Item Type: Editorials/Short Communications
Publication: IEEE Transactions on Acoustics, Speech, & Signal Processing
Publisher: IEEE
Additional Information: Copyright 1979 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 25 Sep 2010 07:08
Last Modified: 25 Sep 2010 07:08
URI: http://eprints.iisc.ac.in/id/eprint/32405

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