Vision-based Fire Detection Facilities Can Work Better Under New Deep Learning Model
Researchers from Hainan Acoustics Laboratoty of the Institute of Acoustics of the Chinese Academy of Sciences (IACAS) proposed an efficient deep learning model for vision-based fire detection based on multiscale feature extraction, implicit d...
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Researchers Propose a Novel Approach to Reduce Noise and Reverberation Simultaneously
Researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS) proposed an integrated multi-channel speech enhancement approach for joint noise reduction and dereverberation based on the multi-channel Wiener filter (MW...
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Researchers Propose a Tunable Gradient Impedance Matching Layer
Researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS) and Jishou University designed and fabricated a tunable gradient impedance matching layer (TGIML) to eliminate the impedance step.
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Researchers Propose a New Method for Passive Source Localization in Deep Ocean
researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS) proposed a passive source localization method based on multi-task learning (MTL) suitable for mismatched environments.
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Researchers Propose an Adaptive Turbo Equalizer for Underwater Acoustic Differential OFDM Systems
Researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS) proposed an adaptive turbo equalizer (TEQ) for differential OFDM systems.
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