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- research-articleMarch 2021
Siamese Network for Single Image Rain Removal
ICVISP 2020: Proceedings of the 2020 4th International Conference on Vision, Image and Signal ProcessingDecember 2020, Article No.: 13, Pages 1–5https://doi.org/10.1145/3448823.3448876This work focuses on removing rain streaks from the single image using the Siamese network. The Siamese network with an unique structure, where the inputs are paired images, are utilized to obtain the discriminative features of the input. We explore a ...
- research-articleMarch 2021
Research on F-OFDM Subband Filter Algorithm for Three Major 5G Application Scenarios
ICVISP 2020: Proceedings of the 2020 4th International Conference on Vision, Image and Signal ProcessingDecember 2020, Article No.: 44, Pages 1–5https://doi.org/10.1145/3448823.3448858With the proposal of three major 5G (5th generation wireless systems) application scenarios, the first NR (New Radio) specification version of 3GPP (3rd Generation Partnership Project) NR Release 15 was released in June 2018. The waveform technology in ...
- research-articleMay 2020
Digital Self-interference Cancellation Algorithm Based on The Movable Shape Filter
ICVISP 2019: Proceedings of the 3rd International Conference on Vision, Image and Signal ProcessingAugust 2019, Article No.: 16, Pages 1–5https://doi.org/10.1145/3387168.3387245In digital self-inference cancellation field, the adaptive filter is the main way to eliminate self-interference. A mass of research is completed to optimize the performance of the adaptive algorithm. Nevertheless, we have noticed there are few scholars ...
- research-articleMay 2020
Power Spectrum Estimation Method Based on Matlab
ICVISP 2019: Proceedings of the 3rd International Conference on Vision, Image and Signal ProcessingAugust 2019, Article No.: 70, Pages 1–5https://doi.org/10.1145/3387168.3387223Power spectrum estimation is one of the important research contents of digital signal processing. Power spectrum estimation is divided into classic power spectrum estimation and modern power spectrum estimation. Modern power spectrum estimation is ...
- research-articleMay 2020
An Efficient Digital Nonlinear Self-Interference Cancellation Architecture for Full-Duplex System
ICVISP 2019: Proceedings of the 3rd International Conference on Vision, Image and Signal ProcessingAugust 2019, Article No.: 93, Pages 1–5https://doi.org/10.1145/3387168.3387222Due to the high self-interference from the transmitter, the deployment of the full-duplex system is still far from trivial. The digital self-interference cancellation (DSIC) is the main means of dealing with self-interference. The performance of the ...
- research-articleMay 2020
Design of High Gain Broadband Antenna Based on Fabry-Perot Resonator
ICVISP 2019: Proceedings of the 3rd International Conference on Vision, Image and Signal ProcessingAugust 2019, Article No.: 92, Pages 1–5https://doi.org/10.1145/3387168.3387221Firstly, this paper studies the shortcomings of traditional PRS(Partially Reflective Surfaces). To solve this problem, a partially reflective surface with positive reflective phase gradient is proposed. Compared with the traditional structure, the ...
- research-articleMay 2020
Twin-Delayed DDPG: A Deep Reinforcement Learning Technique to Model a Continuous Movement of an Intelligent Robot Agent
ICVISP 2019: Proceedings of the 3rd International Conference on Vision, Image and Signal ProcessingAugust 2019, Article No.: 66, Pages 1–5https://doi.org/10.1145/3387168.3387199In this current research, Twin-Delayed DDPG (TD3) algorithm has been used to solve the most challenging virtual Artificial Intelligence application by training a 4-ant-legged robot as an Intelligent Agent to run across a field. Twin-Delayed DDPG (TD3) ...
- research-articleAugust 2018
An Improved Pseudo-Random Number Generator Based on the Logistic Chaotic
ICVISP 2018: Proceedings of the 2nd International Conference on Vision, Image and Signal ProcessingAugust 2018, Article No.: 50, Pages 1–5https://doi.org/10.1145/3271553.3271565The performance of the traditional one-dimensional Logistic chaotic pseudo-random number generator (PRNG) is analyzed. Furthermore, an improved algorithm for the statistical properties of the one-dimensional Logistic chaotic PRNG is proposed. Then, the ...