Adaptive Systems in Control and Signal Processing 1995. A by Cs. Banyasz

By Cs. Banyasz

Top educational and business researchers operating with adaptive structures and sign processing were given the chance to interchange rules, options and options on the IFAC Symposia on Adaptive platforms up to the mark and sign Processing. This postprint quantity comprises all these papers that have been awarded on the fifth IFAC Symposium in Budapest in 1995. The technical software was once composed of a couple of invited and contributed periods and a unique case examine consultation, offering an excellent stability among functions and concept orientated papers

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Extra info for Adaptive Systems in Control and Signal Processing 1995. A Postprint Volume from the 5th IFAC Symposium, Budapest, Hungary, 14–16 June 1995

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Features such as edges are largely unaffected by the processing. Figure 3 shows a schematic example of a 1-D input signal asfilteredin a lowpass (mean) and median filter. 4000 2000 ;fTr^rYVï -2000I •40001 7850 7900 7950 8000 Fig. 4 Noise reduction in speech, courtesy Tabus, (a) 10 s of speech signal with added (dotted) burst errors, (b) error after 3-point medianfilteringas in Fig. 3, (c) reduced error after using thefilterof Tabus. Other noise reduction filters are the stack filters (Coyle). These operate by applying multiple thresholds to the input signal and binary quantising the outputs into parallel channels.

4. A CLASSIFICATION PROBLEM In order to exploit the characteristics of the transmitted sequence more fully it is appropriate to highlight the finite state nature of the channel itself. To simplify the development we will assume that the transmitted sequence is binary with equal probability. For the simple case where the channel has 2 coefficients and the equaliser vector y(k) has 2 elements, we can summarise all possible channel output vectors by the following equation: y(k) y(k) y(*-i) Fig. 5 Channel model.

S. Broomhead and D. 321-355, 1988. N. Cowan, "Use of cluster classification for channel equalisation at high SNR", IMA Mathematics in Signal Processing Conference Proceedings, Warwick, December 1992. N. Cowan, "A comparison of 6 different nonlinear equaliser techniques for digital communications systems", Proceedings VII European Signal Processing Conference, EUSIPCO-94, pp. 1524-1527, Edinburgh, Sept 1994. J. C. Gallacher, "Stack filters and neu- 41 rai networks", IEEE Int. Symposium Circuits and Systems, pp.

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