
Researchers Proposed Bidirectional Soft-Decision Feedback Equalizer for OFDM Systems
Researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS) proposed a bidirectional soft-decision feedback equalizer (BiSDFE) for OFDM systems.
Read More >>
Advances in Online End-to-end Speech Recognition
Researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS) studied the performance of mainstream attention mechanisms when processing the speech stream.
Read More >>
A Three-Step Receiver-Only-Based Time Synchronization Protocol for Underwater Wireless Sensor Networks
Researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS) proposed a three-step receiver-only-based time synchronization protocol for UWSNs, which is energy-efficient with high synchronization accuracy.
Read More >>
Researchers Proposed a New Method to Extract Broadband Modes in Shallow Water
Researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS), collaborating with researchers from Scripps Institution of Oceanography, USA, presented a mode extraction method using a vertical line array (VLA) combini...
Read More >>
Researchers Proposed a New Monaural Progressive Speech Enhancement Approach
Researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS) proposed a type of monaural progressive speech enhancement approach based on convolutional recurrent neural network (CRNN). It significantly decreased the ...
Read More >>