2007
DOI: 10.1109/lsp.2006.884901
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A Filtered-X LMS Algorithm for Sinusoidal Reference Signals—Effects of Frequency Mismatch

Abstract: The objective of this letter is to analyze the effects of frequency mismatch for an adaptive algorithm that becomes the Filtered-X LMS algorithm when the reference signals are purely sinusoidal. The Filtered-X LMS algorithm is often used for active control of acoustic noise. For the case of sinusoidal noise sources, if there is a deviation between the frequency used in the adaptive algorithm and its true value (frequency mismatch), the performance of the Filtered-X LMS algorithm might degrade considerably. In … Show more

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Cited by 35 publications
(8 citation statements)
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“…Owing to this fact, analytical results based on the independence assumption cannot precisely and generally explain experimental results [4], [8]. In addition, analyses of cases where the step size is small [9], [10], [11], [12] and the periodic signal is assumed [13], [14], [15] have been reported.…”
Section: Introductionmentioning
confidence: 99%
“…Owing to this fact, analytical results based on the independence assumption cannot precisely and generally explain experimental results [4], [8]. In addition, analyses of cases where the step size is small [9], [10], [11], [12] and the periodic signal is assumed [13], [14], [15] have been reported.…”
Section: Introductionmentioning
confidence: 99%
“…Sakai and Hinamoto (2005) analysed the LMS algorithm with tonal reference signals based on the adaptive noise control system. The equivalent transfer function technique (Glover Jr, 1977) was also used for the investigation of FM effects for FXLMS algorithm with sinusoidal reference signals (Hinamoto and Sakai, 2007).…”
Section: Frequency Mismatchmentioning
confidence: 99%
“…It was the first attempt to consider the overall effects for the active periodic noise cancellation. Before their work, many papers (Hinamoto and Sakai, 2007) considered FM for an ANC system with the ideal secondary-path transfer function and also considered convergence analysis without considering FM effect .…”
Section: Frequency Mismatchmentioning
confidence: 99%
“…The superscript is an auxiliary time step that is introduced to represent the difference in time steps. From (11), (12), (21), (23), and (30), we obtain a differential equation that describes the dynamical behavior of in a deterministic form as follows:…”
Section: Theorymentioning
confidence: 99%
“…In [18], [19], [20], it is assumed that the correlation between the input signal vectors is more dominant than the correlation between the weight vector of the adaptive filter and the input signal vectors. In [21], [22], [23], it is assumed that the input signal is sinusoidal. In [24], it is assumed that both the unknown system and the adaptive filter have a small number of taps.…”
Section: Introductionmentioning
confidence: 99%