Abstract
AbstractThis paper proposes a realization of a two‐dimensional adaptive state‐space filter for parallel processing using state‐space model with a general form. For the modeling of the filter, a generalized model realized for parallel processing is used and the conventional denominator‐separation type model is extended. Further, the LMS (Least Mean Square) algorithm is used to construct an adaptive algorithm and its processing speed and computational effort are evaluated. By means of this method, the hardware content can be reduced while the processing speed is maintained almost the same as in the complete generalized model. Finally, in order to verify the effectiveness of the present method, an example is presented in which a two‐dimensional adaptive filter is applied to the spatial domain design as a system identification problem. © 2002 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 86(1): 46–57, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.10019
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