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- W1982117008 abstract "Recently it was shown that the rectangular transform (RT), an efficient circular convolution algorithm, offers significant computational advantage over the fast Fourier transform (FFT) when used to implement a circular convolution adaptive filter. This observation as well as its potential in fixed filtering applications have motivated the present investigation of the development of an RT based linear convolution block adaptive finite impulse response (FIR) digital filter. Unlike the existing FFT and Fermat number transform (FNT) based block adaptive filter structures, which exploit their respective transform properties, the present formulation yields a more general efficient structure which does not rely on the properties of a particular circular convolution algorithm. To achieve both the computational efficiency and saving in memory, the existing RT has been modified. A condition for optimum ordering of the short RT modules which results in an overall minimum computational load is also derived. An evaluation of the computational requirements shows that for moderate order filters the proposed structure is a useful alternative to its FFT implementation. To justify the validity of the technique presented, the convergence properties of the filter for both white and correlated inputs are also studied through simulation." @default.
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- W1982117008 date "1998-05-01" @default.
- W1982117008 modified "2023-10-16" @default.
- W1982117008 title "Development of an Adaptive Block Filter Structure using Rectangular Transform" @default.
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- W1982117008 doi "https://doi.org/10.1080/03772063.1998.11416037" @default.
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