Search Results - complex-valued sparse autoencoder*

Channel Estimation and Pilot Design for Uplink Sparse Code Multiple Access System Based on Complex-Valued Sparse Autoencoder

Authors: Quan Yuan Dezhi Li Zhenyong Wang et al.

Source: IEEE Access, Vol 13, Pp 123559-123569 (2025)

Subject Terms: Sparse code multiple access, Internet of Things, channel estimation, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, massive connection, sparse pilot structure, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, complex-valued sparse autoencoder, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/08667100.pdf
https://doaj.org/article/fbe5140ccf6b4575b898c315f16c8e7b
https://ieeexplore.ieee.org/document/8667100/

Deep-Learning-Based Dictionary Construction for MIMO Radar Detection in Complex Scenes

Authors: Hongyan Wang He Zhou Qinghua Guo et al.

Source: IEEE Internet of Things Journal. 11:12419-12434

Subject Terms: nonlinear correction, Multiple-input multiple-output (MIMO) radar, transceiving space-time resource allocation, sparse representation, complex-valued convolutional autoencoder

基于复值卷积降噪自编码器去噪的矢量水听器 DOA估计方法. (Chinese)

Alternate Title: Vector Hydrophone DOA Estimation Method Based on Complex Valued Convolutional Denoising Autoencoder Denoising. (English)

Authors: 任晶 谭秀辉 白艳萍 et al.

Source: Journal of Test & Measurement Technology; 2025, Vol. 39 Issue 4, p475-490, 9p

One-stage blind source separation via a sparse autoencoder framework

Authors: Dabin, Jason Anthony

Source: Dissertations

Subject Terms: Autoencoder, Blind source separation, Channel estimation, Neural network, Sparse coding, Unsupervised learning, Artificial Intelligence and Robotics, Electrical and Electronics, Neuroscience and Neurobiology

File Description: application/pdf

Relation: https://digitalcommons.njit.edu/dissertations/1600; https://digitalcommons.njit.edu/context/dissertations/article/2676/viewcontent/njit_etd2022_017.pdf

Availability: https://digitalcommons.njit.edu/dissertations/1600
https://digitalcommons.njit.edu/context/dissertations/article/2676/viewcontent/njit_etd2022_017.pdf

Unsupervised Complex-Valued Sparse Feature Learning for PolSAR Image Classification.

Authors: Jiang, Yinyin Li, Ming Zhang, Peng et al.

Source: IEEE Transactions on Geoscience & Remote Sensing; Jul2022, Vol. 60, p1-16, 16p

Subject Terms: POLARIMETRY, SYNTHETIC aperture radar, SYNTHETIC apertures, SPARSE matrices, FEATURE extraction, COMPLEX matrices, DEEP learning

A Novel Autoencoder-Based Design for Channel Estimation in Maritime OFDM Systems.

Authors: Yang, Yongjie Chao, Wenming Ma, Li et al.

Source: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3454, 15p

Subject Terms: CHANNEL estimation, ORTHOGONAL frequency division multiplexing, LONG short-term memory, ARTIFICIAL neural networks, MACHINE learning, AUTOENCODERS, RANDOM noise theory, MARINE communication

Robust Multiple-Measurement Sparsity-Aware STAP with Bayesian Variational Autoencoder

Authors: Chenxi Zhang Huiliang Zhao Wenchao Chen et al.

Source: Remote Sensing, Vol 14, Iss 15, p 3800 (2022)

Subject Terms: clutter suppression, variational autoencoder (VAE), space−time adaptive processing (STAP), clutter plus noise covariance matrix (CCM), sparse recovery (SR), Science

File Description: electronic resource

Relation: https://www.mdpi.com/2072-4292/14/15/3800; https://doaj.org/toc/2072-4292

Access URL: https://doaj.org/article/c4b63c77f3634699bacdde42ee9d3496

STK-former: an efficient transformer with adaptive TopK sparse attention for image inpainting.

Authors: Jing, Jianchun Liu, Yuhang Lei, Dian et al.

Source: Visual Computer; Dec2025, Vol. 41 Issue 15, p12529-12549, 21p

Subject Terms: INPAINTING, TRANSFORMER models, MATHEMATICAL optimization, FEATURE extraction

Monaural cardiopulmonary sound separation via complex-valued deep autoencoder and cyclostationarity.

Authors: Yang, Chunjian Hu, Nan Xu, Dongyang et al.

Source: Biomedical Physics & Engineering Express; 5/1/2023, Vol. 9 Issue 3, p1-10, 10p

Research on denoising sparse autoencoder.

Authors: Meng, Lingheng Ding, Shifei Xue, Yu

Source: International Journal of Machine Learning & Cybernetics; Oct2017, Vol. 8 Issue 5, p1719-1729, 11p

Deep Unfolding Basis Pursuit: Improving Sparse Channel Reconstruction via Data-Driven Measurement Matrices.

Authors: Wu, Pengxia Cheng, Julian

Source: IEEE Transactions on Wireless Communications; Oct2022, Vol. 21 Issue 10, p8090-8105, 16p

Coherent DOA estimation method based on angle interval separation learning. (English)

Authors: WANG, Jun WU, Zihan ZHOU, Guangjiao et al.

Source: Systems Engineering & Electronics; Oct2025, Vol. 47 Issue 10, p3188-3198, 11p

Subject Terms: DIRECTION of arrival estimation, ARTIFICIAL neural networks, ESTIMATION theory, SIGNAL processing, DIMENSIONAL reduction algorithms, ANGULAR distance, COMPUTATIONAL complexity

Time Series Anomaly Detection Using Signal Processing and Deep Learning.

Authors: Backhus, Jana Rao, Aniruddha Rajendra Venkatraman, Chandrasekar et al.

Source: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 11, p6254, 15p

Subject Terms: AUTOENCODERS, ANOMALY detection (Computer security), SIGNAL processing, SIGNAL detection, BANDPASS filters, DEEP learning

Robust Multiple-Measurement Sparsity-Aware STAP with Bayesian Variational Autoencoder.

Authors: Zhang, Chenxi Zhao, Huiliang Chen, Wenchao et al.

Source: Remote Sensing; Aug2022, Vol. 14 Issue 15, p3800-3800, 24p

Subject Terms: GIBBS sampling, FIX-point estimation, PARAMETER estimation, CLUTTER (Noise), SPACETIME, CLUTTER (Radar)

Auto focusing of in-Line Holography based on Stacked Auto Encoder with Sparse Bayesian Regression and Compressive Sensing.

Authors: Vimala, C Ajeena, A

Source: Multimedia Tools & Applications; Sep2024, Vol. 83 Issue 30, p74593-74623, 31p

Subject Terms: THRESHOLDING algorithms, ALGORITHMS, NOISE, DIGITAL holographic microscopy, HOLOGRAPHY

Complex-valued neural networks to speed-up MR thermometry during hyperthermia using Fourier PD and PDUNet.

Authors: Khatun, Rupali Chatterjee, Soumick Bert, Christoph et al.

Source: Scientific Reports; 4/6/2025, Vol. 15 Issue 1, p1-18, 18p

Subject Terms: IMAGE processing, MAGNETIC resonance imaging, IMAGE reconstruction, DEEP learning, ARTIFICIAL intelligence

Direction-of-Arrival Estimation with Discrete Fourier Transform and Deep Feature Fusion.

Authors: Zheng, He Zheng, Guimei Song, Yuwei et al.

Source: Electronics (2079-9292); Jun2025, Vol. 14 Issue 12, p2449, 18p

Subject Terms: DIRECTION of arrival estimation, CONVOLUTIONAL neural networks, SIGNAL processing, AUTOENCODERS, COVARIANCE matrices, DEEP learning

Improved Multi-Echo Gradient-Echo-Based Myelin Water Fraction Mapping Using Dimensionality Reduction.

Authors: Song, Jae Eun Kim, Dong-Hyun

Source: IEEE Transactions on Medical Imaging; Jan2022, Vol. 41 Issue 1, p27-38, 12p

Subject Terms: MYELIN, OPTICAL fiber networks

Fast Dual Deep Convolutional Autoencoder Network for Denoising Monte Carlo Rendering.

Authors: Alzbier, Ahmed Mustafa Taha Chunyi Chen Zhongye Shen et al.

Source: Journal of Imaging Science & Technology; May/Jun2023, Vol. 67 Issue 3, p1-12, 12p

Subject Terms: DEEP learning, CONVOLUTIONAL neural networks, PIXELS, IMAGE reconstruction, SIGNAL-to-noise ratio

MAPM:PolSAR Image Classification with Masked Autoencoder Based on Position Prediction and Memory Tokens.

Authors: Wang, Jianlong Li, Yingying Quan, Dou et al.

Source: Remote Sensing; Nov2024, Vol. 16 Issue 22, p4280, 28p

Subject Terms: IMAGE recognition (Computer vision), TRANSFORMER models, DEEP learning, MEMORY, CLASSIFICATION, SYNTHETIC aperture radar