2019
DOI: 10.1007/s11045-019-00649-4
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Robust broadband beamformer design for noise reduction and dereverberation

Abstract: In this paper, we investigate robust design methods for broadband beamformers in reverberant environments. In the design formulation room reverberation as well as robustness to amplitude and phase mismatches in the microphones have been included. Particularly, the direct path and the reections are separated in the design such that there is a penalty on the reective part. This approach is dierent from the commonly studied problem of dereverberation of a single point source as the investigated design is made ove… Show more

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Cited by 3 publications
(2 citation statements)
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References 30 publications
(40 reference statements)
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“…Assuming that the anti-interference weight vector is calculated every L sampling moments, the corresponding sampling signal is X = [x 1 , x 2 , … , x L ], and the weight vector corresponding to the M array elements can be expressed as w = [w 1 , w 2 , … , w M ] H . Based on the linearly constrained minimum variance criterion and to ensure that the desired signal is not attenuated, 19,20 the following expression is given:…”
Section: Signal and Algorithm Modelmentioning
confidence: 99%
“…Assuming that the anti-interference weight vector is calculated every L sampling moments, the corresponding sampling signal is X = [x 1 , x 2 , … , x L ], and the weight vector corresponding to the M array elements can be expressed as w = [w 1 , w 2 , … , w M ] H . Based on the linearly constrained minimum variance criterion and to ensure that the desired signal is not attenuated, 19,20 the following expression is given:…”
Section: Signal and Algorithm Modelmentioning
confidence: 99%
“…All of them contributed to improving the accuracy of acoustic imaging in a reverberant field. For the interference suppression, Nahma et al [16] proposed a robust beamforming algorithm based on the room impulse response, which improved the algorithm's robustness in different reverberant environments. Rajan et al [17] used the wavelet denoising method for time delay estimation, which effectively reduced the influence of underwater reverberation on sound source localisation.…”
Section: Introductionmentioning
confidence: 99%