no code implementations • 4 Apr 2023 • Da Li, Bo Tang, Xuyang Wang, Wenjun Wu, Lei Xue
Reconfigurable intelligent surface (RIS) refers to a signal reflection surface containing a large number of low-cost passive reflecting elements.
no code implementations • 28 Feb 2023 • Wenjun Wu, Bo Tang, Xuyang Wang
We investigate the constant-modulus (CM) waveform design for dual-function radar communication systems in the presence of clutter. To minimize the interference power and enhance the target acquisition performance, we use the signal-to-interference-plus-noise-ratio as the design metric. In addition, to ensure the quality of the service for each communication user, we enforce a constraint on the synthesis error of every communication signals. An iterative algorithm, which is based on cyclic optimization, Dinkinbach's transform, and alternating direction of method of multipliers, is proposed to tackle the encountered non-convex optimization problem. Simulations illustrate that the CM waveforms synthesized by the proposed algorithm allow to suppress the clutter efficiently and control the synthesis error of communication signals to a low level.
no code implementations • 9 Apr 2022 • Xuyang Wang, Bo Tang, Ming Zhang
This paper addresses robust waveform design for multiple-input-multiple-output (MIMO) radar detection.
1 code implementation • 3 Apr 2022 • Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang
Recently, some methods reformulate it as a classification-regression task to boost the model performance, where continuous depth is estimated via a linear combination of predicted probability distributions and discrete bins.
Ranked #20 on Monocular Depth Estimation on KITTI Eigen split (using extra training data)
no code implementations • 27 Nov 2021 • Yucong Zhang, Qinjian Lin, Weiqing Wang, Lin Yang, Xuyang Wang, Junjie Wang, Ming Li
To ensure the low latency in the online setting, we introduce a variant of AHC, namely chkpt-AHC, to cluster the speakers.
no code implementations • 28 Jun 2021 • Qingjian Lin, Lin Yang, Xuyang Wang, Luyuan Xie, Chen Jia, Junjie Wang
This paper proposes the weighted SI-SNR loss, together with the joint learning of target speech separation and personal VAD.
no code implementations • 4 Apr 2021 • Tze Yuang Chong, Xuyang Wang, Lin Yang, Junjie Wang
Also, the TransfoRNN model was applied on the LibriSpeech speech recognition task and has shown comparable results with the Transformer models.
no code implementations • 3 Nov 2020 • Yan Jia, Zexin Cai, Murong Ma, Zeqing Zhao, Xuyang Wang, Junjie Wang, Ming Li
Confusing-words are commonly encountered in real-life keyword spotting applications, which causes severe degradation of performance due to complex spoken terms and various kinds of words that sound similar to the predefined keywords.
no code implementations • 12 Aug 2020 • Haiwei Wu, Lin Zhang, Lin Yang, Xuyang Wang, Jun-Jie Wang, Dong Zhang, Ming Li
This paper introduces our approaches for the Mask and Breathing Sub-Challenge in the Interspeech COMPARE Challenge 2020.
no code implementations • 24 May 2020 • Murong Ma, Haiwei Wu, Xuyang Wang, Lin Yang, Jun-Jie Wang, Ming Li
In this paper, we propose a deep convolutional neural network-based acoustic word embedding system on code-switching query by example spoken term detection.
1 code implementation • Conference 2019 • Shaofeng Zou, Mingzhu Long, Xuyang Wang, Xiang Xie, Guolin Li, Zhihua Wang
The number of iterations is reduced about 36% by using transfer learning in our DIP process.