2013 Third International Conference on Advances in Computing and Communications 2013
DOI: 10.1109/icacc.2013.39
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Application of Adaptive Filter Using Adaptive Line Enhancer Techniques

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Cited by 8 publications
(2 citation statements)
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“…The block diagram represents the whole system model. Basically, the proposed system is divided in two main sections namely transmitter and receiver: At the transmitter level, the digital bits are randomly generated and encoded using an adaptive conventional coding technique, where three coding rates are proposed (1/2, 3/4, 2/3) with a constraint length of 3 and a polynomial generator [7,5]8. The sequence at the encoder output is permuted.…”
Section: Astesj Issn: 2415-6698mentioning
confidence: 99%
See 1 more Smart Citation
“…The block diagram represents the whole system model. Basically, the proposed system is divided in two main sections namely transmitter and receiver: At the transmitter level, the digital bits are randomly generated and encoded using an adaptive conventional coding technique, where three coding rates are proposed (1/2, 3/4, 2/3) with a constraint length of 3 and a polynomial generator [7,5]8. The sequence at the encoder output is permuted.…”
Section: Astesj Issn: 2415-6698mentioning
confidence: 99%
“…The parameter µ is step size (a small positive constant) which controls the influence of the updating factor. The choice of a suitable value for μ is imperative to the performance of the LMS algorithm, if it is too small the time the adaptive filter takes to converge on the optimal solution will be too long; if μ is too large the adaptive filter becomes unstable and its output diverges [7,8].…”
Section: Least Mean Square (Lms) Algorithmmentioning
confidence: 99%