Equalization of acoustic source using multi-pole sources and source strength estimation using inverse method

Madoliat, Reza; Nouri, Mahtab; Rahrovi, Ali

doi:10.1016/j.apacoust.2016.06.030

Cited by 9 publications

(6 citation statements)

References 10 publications

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“…2. A view of how the ten sources are positioned in vertical arrangement. 15 inverse method. Minimizing the discrepancies between the main sound and the sound produced by this general arrangement, an optimization method is required to be applied.…”

Section: Methodsmentioning

confidence: 99%

“…15 Step 10: Using the computed values of q, H and equation (Hq = ϕ), we can estimate φ m frequencydependent acoustic potential whose amount is same to the number of rows of matrix H, or the number of receivers. φ m frequency-dependent acoustic potential is different from Φ step (9).…”

Section: Figmentioning

confidence: 99%

“…14 They also assumed that the transfer functions relating between strength of the sources and the acoustic pressure are assumed known. Madoliat et al 15 presented model is for estimating the strength of an acoustic source in different frequencies. They evaluated sound measured at various points around the environment by a series of multi-pole sources and they computed the acoustic strength of multi-pole.…”

Section: Introductionmentioning

confidence: 99%

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Developing general acoustic model for noise sources and parameters estimation

2017

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Noise measured at various points around the environment can be evaluated by a series of acoustic sources. Acoustic sources with wide surface can be broken down in fluid environment using some smaller acoustic sources. The aim of this study is to make a model to indicate the type, number, direction, position and strength of these sources in a way that the main sound and the sound of equivalent sources match together in an acceptable way. When position and direction of the source is given, the strength of the source can be found using inverse method. On the other hand, considering the non-uniqueness of solution in inverse method, a different acoustic strength is obtained for the sources if different positions are selected. Selecting an arrangement of general source and using the optimization algorithm, the least possible mismatch between the main sound and the sound of equivalent sources can be achieved.

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Section: Methodsmentioning

confidence: 99%

Section: Figmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Developing general acoustic model for noise sources and parameters estimation

2017

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“…When H is rectangular, it can be extended to a rectangular matrix by considering the singular values of H * × H. 30 The measurement error is defined as the difference between the measured value of quantity and its true value. There are two general methods available for reducing measurement errors: 28 1. Mathematical methods like the Tikhonov solution.…”

Section: -mentioning

confidence: 99%

“…Measurement error is the difference between a measured value of quantity and its true value. There are two general methods for decreasing this effect: 28 1. Mathematical methods like the Tikhonov solution.…”

Section: Introductionmentioning

confidence: 99%

Acoustic model order reduction for the lowest condition number in inverse method

2017

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Acoustic sources with wide surfaces can be broken down in a fluid environment into smaller acoustic sources. In this study, a general model is presented, indicating the type, number, direction, position and strength of these sources in such a way that the main sound and the sound of the equivalent sources match each other acceptably. When the position and direction of the source is determined, the strength of the source can be found using the inverse method. However, since the solution is not unique in the inverse method, a different acoustic strength is obtained for the sources if different positions are selected. By selecting an arrangement of general sources and using an optimization algorithm, the least possible mismatch between the main sound and the sound of equivalent sources can be achieved. In the inverse method, it is important to reduce the effects of measurement errors. The sensor placement and acoustic model order reduction (AMOR) are studied for reducing these effects. © 2017 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license

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