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- W1852691615 abstract "This paper presents an analysis of the constrained least squares filter and a feedback structure is derived which shows the noise cancelling properties of the filter. Using an identification algorithm, it is shown how the constrained least squares filter can be replaced by a finite impulse response filter which can be implemented on-line. The limitations of this F.I.R. filter are discussed. The non-linear behaviour of the constrained least squares (C.L.S.) filter is investigated and, using the proposed feedback structure, it is indicated how a non-linear recursive filter can be identified for on-line implementation." @default.
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- W1852691615 date "2005-03-24" @default.
- W1852691615 modified "2023-09-24" @default.
- W1852691615 title "Deconvolution in real time of noisy signals" @default.
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- W1852691615 doi "https://doi.org/10.1109/icassp.1982.1171679" @default.
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