Results 11 to 20 of about 723,112 (370)
Physics‐Informed Neural Networks (PINNs) for Wave Propagation and Full Waveform Inversions [PDF]
Journal of Geophysical Research: Solid Earth, 2021 We propose a new approach to the solution of the wave propagation and full waveform inversions (FWIs) based on a recent advance in deep learning called physics‐informed neural networks (PINNs).
Majid Rasht-Behesht +3 more
semanticscholar +1 more source
Joint Transmit Waveform and Passive Beamforming Design for RIS-Aided DFRC Systems [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2021 Reconfigurable intelligent surface (RIS) is a promising technology for 6 G networks owing to its superior ability to enhance the capacity and coverage of wireless communications by smartly creating a favorable propagation environment.
Rang Liu +4 more
semanticscholar +1 more source
Real Time Speech Enhancement in the Waveform Domain [PDF]
Interspeech, 2020 We present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections.
Alexandre Défossez +2 more
semanticscholar +1 more source
Waveform Design and Performance Analysis for Full-Duplex Integrated Sensing and Communication [PDF]
IEEE Journal on Selected Areas in Communications, 2021 Integrated sensing and communication (ISAC) is a promising technology to fully utilize the precious spectrum and hardware in wireless systems, which has attracted significant attentions recently.
Zhiqiang Xiao, Yongbo Zeng
semanticscholar +1 more source
Pushing the limits of raw waveform speaker recognition [PDF]
Interspeech, 2022 In recent years, speaker recognition systems based on raw waveform inputs have received increasing attention. However, the performance of such systems are typically inferior to the state-of-the-art handcrafted feature-based counterparts, which ...
Jee-weon Jung +5 more
semanticscholar +1 more source
Speech Denoising in the Waveform Domain With Self-Attention [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022 In this work, we present CleanUNet, a causal speech denoising model on the raw waveform. The proposed model is based on an encoder-decoder architecture combined with several self-attention blocks to refine its bottleneck representations, which is crucial
Zhifeng Kong +3 more
semanticscholar +1 more source
Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019 We propose Parallel WaveGAN, a distillation-free, fast, and small-footprint waveform generation method using a generative adversarial network. In the proposed method, a non-autoregressive WaveNet is trained by jointly optimizing multi-resolution ...
Ryuichi Yamamoto +2 more
semanticscholar +1 more source
Orthogonal Time-Frequency Space Modulation: A Promising Next-Generation Waveform
IEEE wireless communications, 2021 Sixth-generation (6G) wireless networks are envisioned to provide global coverage for the intelligent digital society of the near future, ranging from traditional terrestrial to non-terrestri-al networks, where reliable communications in high-mobility ...
Zhiqiang Wei +6 more
semanticscholar +1 more source
Integrated Sensing and Communication Waveform Design: A Survey
IEEE Open Journal of the Communications Society, 2022 Integrated sensing and communication (ISAC) has been widely recognized as a key technology in future sixth-generation (6G) wireless networks, especially for emerging applications and scenarios demanding both high-performance sensing and communication ...
Wenxing Zhou +3 more
semanticscholar +1 more source
Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design [PDF]
IEEE Transactions on Signal Processing, 2017 We focus on a dual-functional multi-input-multi-output (MIMO) radar-communication (RadCom) system, where a single transmitter with multiple antennas communicates with downlink cellular users and detects radar targets simultaneously.
Fan Liu +5 more
semanticscholar +1 more source