Micro-motion Signal Enhancement via Convolutional Autoencoder Equipped with Multi-scale Feature Pyramid-Reference-Cited by-同舟云学术

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Micro-motion Signal Enhancement via Convolutional Autoencoder Equipped with Multi-scale Feature Pyramid

Published:2023-07-08 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Signal and Image Processing (ICSIP)
language:
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Author:

Zhang Honglei¹,Tang Minglei¹,Zhang Wenpeng¹,Yang Wei¹,Jiang Weidong¹

Affiliation:

1. National University of Defense Technology,College of Electronic Science and Technology,Changsha,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10269795/10270814/10271027.pdf?arnumber=10271027

Reference15 articles.

1. Micro-Doppler Spectrogram Denoising Based on Generative Adversarial Network

2. Feature Pyramid Networks for Object Detection

3. Exploring multi-channel features for denoising-autoencoder-based speech enhancement

4. Medical Image Denoising Using Convolutional Denoising Autoencoders

5. Micro-motion signal enhancement based on multi-resolution saliency filtering;tang;Journal of Systems Engineering and Electronics,2022

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1. Cognitive Radar Waveform Design Method under the Joint Constraints of Transmit Energy and Spectrum Bandwidth;Remote Sensing;2023-10-31

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