2008 2nd International Conference on Signal Processing and Communication Systems 2008
DOI: 10.1109/icspcs.2008.4813749
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Impulse response measurement with sine sweeps and amplitude modulation schemes

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Cited by 21 publications
(7 citation statements)
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“…Nevertheless, unlike the linear sine sweep, the ESS sweeps faster over high frequencies than low frequencies, leading to a pink spectrum. Consequently, the non-uniform temporal distribution of excitation energy makes the signal spectrum not-flat [49]. This problem was resolved by Farina [39] upon the amplitude modulation of the time reversed signal.…”
Section: Discussionmentioning
confidence: 99%
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“…Nevertheless, unlike the linear sine sweep, the ESS sweeps faster over high frequencies than low frequencies, leading to a pink spectrum. Consequently, the non-uniform temporal distribution of excitation energy makes the signal spectrum not-flat [49]. This problem was resolved by Farina [39] upon the amplitude modulation of the time reversed signal.…”
Section: Discussionmentioning
confidence: 99%
“…This problem was resolved by Farina [39] upon the amplitude modulation of the time reversed signal. As an alternative, Meng et al [49] implemented a pre-modulation to the input swept-sine signal to make the spectrum flat. Some other practical problems with the sweep signal synthesis in the time domain have also been resolved by its construction in the frequency domain [47].…”
Section: Discussionmentioning
confidence: 99%
“…Thus, the calibration procedure is as follows: 1. Frequency response: For the range of frequencies from 50 Hz to 12 kHz, a sine-swept signal is applied to the array of GNSs to compute the frequency response [36].…”
Section: Laboratory Testsmentioning
confidence: 99%
“…Both parameters are used to adjust the preprocessing speech signal to obtain the best speech intelligibility. Furthermore, based on the method by Meng et al [23], a sine sweep signal with a length of 10 s is used as an excitation signal to obtain the RIR in advance to calculate the inverse filter.…”
Section: Proposed Speech Intelligibility Improvement Algorithmmentioning
confidence: 99%