2016 26th International Conference Radioelektronika (RADIOELEKTRONIKA) 2016
DOI: 10.1109/radioelek.2016.7477383
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Comparing the performances of least mean squares based multirate adaptive filters

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Cited by 5 publications
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“…The other approach being adopted is the use of the secondary path estimate in calculating the output signal to destructively interfere with the undesired noise where the reference signal being the noisy form of the undesired sound signal this approach is named as filtered X least mean square algorithm [4]. Reference [5] have implemented and analyzed the Multirate filtering algorithm in which multiple version of the observations at different sampling rates is used to estimate the desired signal. Reference [6] compares more than fifteen algorithms for reconstruction of noisy samples and categorized them into duplication and trigonometric approach which implements them through time series and polynomial models in which the dataset of sample signal of different songs divided in different genres have been used to analyze the algorithms and the findings of ARMA model found to be the best among all genres.…”
Section: Basic Concept Behind Active Noisementioning
confidence: 99%
“…The other approach being adopted is the use of the secondary path estimate in calculating the output signal to destructively interfere with the undesired noise where the reference signal being the noisy form of the undesired sound signal this approach is named as filtered X least mean square algorithm [4]. Reference [5] have implemented and analyzed the Multirate filtering algorithm in which multiple version of the observations at different sampling rates is used to estimate the desired signal. Reference [6] compares more than fifteen algorithms for reconstruction of noisy samples and categorized them into duplication and trigonometric approach which implements them through time series and polynomial models in which the dataset of sample signal of different songs divided in different genres have been used to analyze the algorithms and the findings of ARMA model found to be the best among all genres.…”
Section: Basic Concept Behind Active Noisementioning
confidence: 99%