Deconvolution in real time of noisy signals
نویسندگان
چکیده
This paper presents an analysis of the constrained least squares filter and a feedback structure is derived which shows the noise cancelling proper— ties of the filter, Using an identification algorithm, it is shown how the constrained least squares filter can be replaced by a f in— ite impulse response filter which can be J.nple— mented 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 nonlinear recursive filter can be identified for on-line implementation.
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