中国科学院机构知识库网格系统: 检索

Audio Mixing Inversion via Embodied Self-supervised Learning 期刊论文 OAI收割
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 55-62
作者: Haotian Zhou; Feng Yu; Xihong Wu

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收藏 | 浏览/下载：11/0 | 提交时间：2024/04/23

Audio mixing inversion, intelligent audio mixing, self-supervised learning, audio signal processing, deep learning

BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging 期刊论文 OAI收割
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 15
作者: Wei, Zechen; Liu, Yanjun; Zhu, Tao; Yang, Xin; Tian, Jie

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收藏 | 浏览/下载：29/0 | 提交时间：2024/02/22

Magnetic particle imaging deep learning self-attention mechanism time-frequency spectrum background signal

Reconstruction of incomplete surface electromyography based on an adversarial autoencoder network 期刊论文 OAI收割
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2023, 卷号: 86, 页码: 11
作者: Zou, Yongxiang; Cheng, Long; Han, Lijun

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收藏 | 浏览/下载：16/0 | 提交时间：2023/11/17

Adversarial autoencoder Missing sEMG Signal reconstruction Self-mask Multi-view discriminator

Neural substrates of deficient cognitive control in individuals with severe internet gaming disorder 期刊论文 OAI收割
NEUROIMAGE-CLINICAL, 2021, 卷号: 32, 页码: 10
作者: Wang, Lingxiao; Yang, Guochun; Zheng, Ya; Li, Zhenghan; Wei, Ping

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收藏 | 浏览/下载：57/0 | 提交时间：2021/10/29

Internet gaming disorder Cognitive control fMRI Prefrontal-subcortical model of self-regulation Addiction severity Stop-signal task

Adaptive heading performance during self-motion perception 期刊论文 OAI收割
PSYCH JOURNAL, 2019, 页码: 11
作者: Kuang, Shenbing; Deng, Hu; Zhang, Tao

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收藏 | 浏览/下载：24/0 | 提交时间：2020/02/29

behavioral training extraretinal signal neural plasticity optic flow self-motion perception

Direct Electrochemical Vibrio DNA Sensing Adopting Highly Stable Graphene-Flavin Mononucleotide Aqueous Dispersion Modified Interface 期刊论文 OAI收割
ACS APPLIED MATERIALS & INTERFACES, 2018, 卷号: 10, 期号: 5, 页码: 4540-4547
作者: Yang, Tao; Chen, Huaiyin; Qiu, Zhiwei; Yu, Renzhong; Luo, Shizhong

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收藏 | 浏览/下载：37/0 | 提交时间：2018/04/02

Graphene Flavin Mononucleotide Graphene Aqueous Dispersion Self-signal Dna Sensing

Thermal behavior simulation of bulk acoustic wave resonator 期刊论文 OAI收割
PROCEEDINGS OF SPIE, 2018, 卷号: 10799, 页码: UNSP 107990J
作者: Wen, Shu-wen; Zhang, Da-peng; Gao, Yang; Han, Chao; Wen SW(文数文)

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收藏 | 浏览/下载：24/0 | 提交时间：2019/10/10

BAWR self-heating effect signal feeding edge power handling capacity active area shape

Where are you heading? Flexible integration of retinal and extra-retinal cues during self-motion perception 期刊论文 OAI收割
PsyCh Journal, 2017, 卷号: 6, 期号: 2, 页码: 141
作者: Shenbing Kuang; Jinfu Shi; Yang Wang; Tao Zhang

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收藏 | 浏览/下载：14/0 | 提交时间：2020/06/22

extra-retinal signal ﬂexible integration optical ﬂow pursuit eye movement self-motion perception

Laser pulse coded signal frequency measuring device based on DSP and CPLD (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging, May 24, 2011 - May 26, 2011, Beijing, China
作者: Zhang H.-B.; Wang T.-F.; Guo R.-H.; Li Y.; Li Y.

收藏 | 浏览/下载：38/0 | 提交时间：2013/03/25

Laser pulse code is an anti-jamming measures used in semi-active laser guided weapons. On account of the laser-guided signals adopting pulse coding mode and the weak signal processing it need complex calculations in the frequency measurement process according to the laser pulse code signal time correlation to meet the request in optoelectronic countermeasures in semi-active laser guided weapons. To ensure accurately completing frequency measurement in a short time it needed to carry out self-related process with the pulse arrival time series composed of pulse arrival time calculate the signal repetition period and then identify the letter type to achieve signal decoding from determining the time value number and rank number in a signal cycle by Using CPLD and DSP for signal processing chip designing a laser-guided signal frequency measurement in the pulse frequency measurement device improving the signal processing capability through the appropriate software algorithms. In this article we introduced the principle of frequency measurement of the device described the hardware components of the device the system works and software analyzed the impact of some system factors on the accuracy of the measurement. The experimental results indicated that this system improve the accuracy of the measurement under the premise of volume real-time anti-interference low power of the laser pulse frequency measuring device. The practicality of the design reliability has been demonstrated from the experimental point of view.

Inhibition of electromagnetic interference in control system based on DSP of high-power TEA CO2 laser (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者: Meng F.-J.; Guo L.-H.; Wang H.-Q.

收藏 | 浏览/下载：41/0 | 提交时间：2013/03/25

The strong electromagnetic interference (EMI) generated in high-power TEA C02 laser system mainly comes from main discharge circuit pulse spark switch and power supply. Such strong EMI causes great damage and interference to the control system based on DSP. In this paper we present the interference sources and their distribution and propose the methods of anti-interference. Measures for hardware design include weakening transient ground potential difference by using equipotential lines between devices using signal isolation interface to inhibit the transient ground potential interference and rational layout shielding and filtering to the control system. And methods for software design include range-limited filter self-diagnosis and self-repair for the critical data and anti-interference during abnormal reset. The EMI has been inhibited effectively by the anti-interference method proposed above. The result shows that: the software anti-interference method is as important as the hardware anti-interference method for the control system in a complex environment of strong EMI. 2010 IEEE.