2001
DOI: 10.1049/el:20010602
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Decision feedback equalisation with complete lattice orthogonalisation

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Cited by 4 publications
(3 citation statements)
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“…This should be taken into account when assessing the suitability of WTT papers for printing and other applications. However, previous studies have shown that WTT papers with coated suspension, including GCC, have printability-acceptable surface strength wax numbers. Filler materials like GCC can reduce paper surface strength, but this may not always affect print quality. Studies suggest that the optimal surface strength wax number for printability depends on the printing method, ink type, and paper properties.…”
Section: Resultsmentioning
confidence: 99%
“…This should be taken into account when assessing the suitability of WTT papers for printing and other applications. However, previous studies have shown that WTT papers with coated suspension, including GCC, have printability-acceptable surface strength wax numbers. Filler materials like GCC can reduce paper surface strength, but this may not always affect print quality. Studies suggest that the optimal surface strength wax number for printability depends on the printing method, ink type, and paper properties.…”
Section: Resultsmentioning
confidence: 99%
“…Thus, the complete orthogonalization of multichannel input data and sequential nature of the modified SPMLSs make it possible to feed back the delayed forward prediction error signals to represent the unknown input noise signals of original ARMA processes. Although we introduced the complete orthogonalization concept previously in linear and nonlinear adaptive decision feedback equalization frameworks in [37,38], its application to adaptive spectrum estimation problem in http://asp.eurasipjournals.com/content/2013/1/9 subbands as well as in fullband results in novel implementations, particularly to the development of a new Levinson-Durbin type conversion algorithm for the modified SPMLSs in order to compute ARMA process parameters from lattice reflection coefficients. To the best of the authors' knowledge, this particular multichannel lattice prediction filter structure for ARMA spectrum estimation in subbands or in fullband and the new Levinson-Durbin type multichannel conversion algorithm do not exist in the literature.…”
Section: Introductionmentioning
confidence: 99%
“…Eventhough the mean square error (MSE) performance results of the lower-order versions were presented in [10,11], an adequate probability of error performance is made possible only if the third or the fifth-order Volterra expansion of received signal is achieved in a polynomial perceptron realization [12,13]. Hence, the objective of this paper is to give a generalization of our previous work as a polynomial perceptron implementation using the third-order Volterra expansion with applications to the equalization of nonlinear magnetic recording channels.…”
Section: Introductionmentioning
confidence: 99%