Signal Processing - Research Paper Example

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Signal Processing

One of these digital signal processing techniques is adaptive filtering. Adaptive Filters Haykin (2006) defines an adaptive filter as a system which is self-designing and reliant on a recursive algorithm for its operation. This feature enables an adaptive to satisfactorily perform in an environment where there is scarce or no knowledge of the applicable statistics. Diniz & Netto (2002) observe that an adaptive filter is used when either the fixed specifications are not known, or these specifications cannot be met by filters which are time-invariant. Adaptive filter’s characteristics depend on the input signal and such filters are time-varying because their parameters continually change so as to satisfy a performance requirement. The two main groups of adaptive filters are linear and nonlinear. According to Stearns & Widrow (1985), linear adaptive filters calculate an approximation of the desired response by utilizing a linear permutation of the available group of observables that are applied to the filter’s input. Nonlinear adaptive filters are those that depend on the input signal and their parameters change continually. Also, adaptive filters can be classified as supervised and unsupervised adaptive filters. Supervised adaptive filters apply the presence of a training series that gives different outputs of a desired ouput for a particular input signal. ...
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Signal Processing Name Institution Adaptive Filtering Introduction With the current technological advancements, digital signal processing remains a major player with its application being found in noise filtering, voice prediction and system identification…
Author : hvon

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