The Deconvolution Approach for the Mapping of Acoustic Sources (DAMAS) method removes beamforming characteristics from output presentations.
Beamforming signal processing enhanced by DAMAS (Deconvolution Approach for the Mapping of Acoustic Sources) was applied to the data.
Additionally, the typical deconvolution methods initially suggested for planar arrays, deconvolution approach for the mapping of acoustic sources (DAMAS), nonnegative least-squares (NNLS), Richardson Lucy (RL) and CLEAN, are adapted to SHB successfully, which are capable of giving rise to highly resolved and deblurred maps.
The standard delay-and-sum (DAS) beamformer is the most commonly used beamforming algorithm due to its simplicity and robustness and also serves as the basis for more sophisticated algorithms, such as the deconvolution approach for the mapping of acoustic sources (DAMAS).
Such mapping of acoustic signals to articulatory signals is reminiscent of the motor theory of speech perception [28].
In the STS these processes likely reflect higher order auditory functions such as the mapping of acoustic cues onto stored vocal representations with a particular significance to the individual [51], [52].
Speech perception refers to the mapping of acoustic and sometimes visual or haptic signals onto language forms [ 1].
The map of relative acoustic impedance demonstrated that the sandstone beds have high impedance, whereas the shale beds have low impedance.
A recorded camera image reveals a map of the acoustic field around the object, integrated or projected in direction of the detection beam for a certain orientation p t = T 0 α (x, z ) of the sample.
To refine synthesized speech warning systems with urgency mapping, various kinds of acoustic and non-acoustic parameters were explored, and the relationship between the parameters and the subjectively perceived urgency was investigated through a series of experiments.
