Researchers from the Institute of Acoustics and their collaborators presented a mode extraction method using vertical line array (VLA) combining multi-frequency information based on block sparse Bayesian learning (BSBL).
Researchers from the Institute of Acoustics proposed a type of monaural progressive speech enhancement approach based on convolutional recurrent neural network (CRNN). It significantly decreased the trainable parameters and the computational complexity while sustaining the performance.
A team of researchers from Shenyang Institute of Automation and University of Maryland recently provided a possible solution for better achieving the degradation monitoring of insulation systems used in low-voltage electromagnetic coils under thermal loading conditions. They investigated degradation monitoring of coil insulation systems under thermal loading conditions from a creep point of view.
Dr. SUN Bangyong from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) proposed 9-band MSFA imaging system, as well as a demosaicking algorithm to reconstruct a clear multispectral image. During the imaging, the nine spectral bands can be classified into two categories, densely sampled band and sparsely sampled band.
In order to obtain the relationship between the measured parameters of LDV and the stress components in solids, researchers from the Institute of Acoustics proposed a new measurement method, via which the stress field in the transparent solid could be measured directly based on LDV.
Researchers from the Institute of Acoustics proposed a high-spectral-effciency noncoherent underwater acoustic communication multi-carrier transmission scheme, which adopts the on-off keying (OOK) modulation.
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