Výsledky vyhledávání - complex-valued sparse autoencoder~

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

Autoři: Quan Yuan Dezhi Li Zhenyong Wang a další

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

Témata: 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

Přístupová URL adresa: 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

Autoři: Hongyan Wang He Zhou Qinghua Guo a další

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

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

One-stage blind source separation via a sparse autoencoder framework

Autoři: Dabin, Jason Anthony

Zdroj: Dissertations

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

Popis souboru: application/pdf

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

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

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

Autoři: Chenxi Zhang Huiliang Zhao Wenchao Chen a další

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/c4b63c77f3634699bacdde42ee9d3496

Research on denoising sparse autoencoder.

Autoři: Meng, Lingheng Ding, Shifei Xue, Yu

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

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

Autoři: WANG, Jun WU, Zihan ZHOU, Guangjiao a další

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

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

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

Autoři: Song, Jae Eun Kim, Dong-Hyun

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

Témata: *MYELIN, *OPTICAL fiber networks

An application of deep dual convolutional neural network for enhanced medical image denoising.

Autoři: Sahu A Rana KPS Kumar V

Zdroj: Medical & biological engineering & computing [Med Biol Eng Comput] 2023 May; Vol. 61 (5), pp. 991-1004. Date of Electronic Publication: 2023 Jan 14.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE

Výrazy ze slovníku MeSH: Neural Networks, Computer* , Data Compression*, Signal-To-Noise Ratio ; Image Enhancement ; Normal Distribution ; Image Processing, Computer-Assisted/methods

Intra-subject enveloped multilayer fuzzy sample compression for speech diagnosis of Parkinson's disease.

Autoři: Wang Y Li F Zhang X a další

Zdroj: Medical & biological engineering & computing [Med Biol Eng Comput] 2024 Feb; Vol. 62 (2), pp. 371-388. Date of Electronic Publication: 2023 Oct 24.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE

Výrazy ze slovníku MeSH: Parkinson Disease*/diagnosis , Data Compression*, Humans ; Speech ; Algorithms ; Machine Learning

Knowledge-driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un-supervised learning.

Autoři: Wang S Wu R Jia S a další

Zdroj: Magnetic resonance in medicine [Magn Reson Med] 2024 Aug; Vol. 92 (2), pp. 496-518. Date of Electronic Publication: 2024 Apr 16.

Způsob vydávání: Journal Article; Review

Informace o časopise: Publisher: Wiley Country of Publication: United States NLM ID: 8505245 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2594 (Electronic) Linking ISSN: 07403194 NLM ISO Abbreviation: Magn Reson Med Subsets: MEDLINE

Výrazy ze slovníku MeSH: Deep Learning* , Magnetic Resonance Imaging*/methods , Image Processing, Computer-Assisted*/methods , Neural Networks, Computer* , Algorithms*, Humans ; Supervised Machine Learning ; Brain/diagnostic imaging

Patch-Sorted Deep Feature Learning for High Resolution SAR Image Classification.

Autoři: Ren, Zhongle Hou, Biao Wen, Zaidao a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing; Sep2018, Vol. 11 Issue 9, p3113-3126, 14p

Deep Learning Based Lithology Classification Using Dual-Frequency Pol-SAR Data.

Autoři: Wang, Wenguang Ren, Xin Zhang, Yan a další

Zdroj: Applied Sciences (2076-3417); Sep2018, Vol. 8 Issue 9, p1513, 19p

Témata: SYNTHETIC aperture radar, DEEP learning, PETROLOGY

Vocal Feature Extraction-Based Artificial Intelligent Model for Parkinson's Disease Detection.

Autoři: Hoq, Muntasir Uddin, Mohammed Nazim Park, Seung-Bo

Zdroj: Diagnostics (2075-4418); Jun2021, Vol. 11 Issue 6, p1076-1076, 1p

Témata: PARKINSON'S disease, VOICE disorders, PRINCIPAL components analysis, SUPPORT vector machines, RANDOM forest algorithms

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)

Autoři: 任晶 谭秀辉 白艳萍 a další

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

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

Autoři: Yang, Chunjian Hu, Nan Xu, Dongyang a další

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

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

Autoři: Jiang, Yinyin Li, Ming Zhang, Peng a další

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

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

Multi-scale asynchronous correlation and 2D convolutional autoencoder for adolescent health risk prediction with limited fMRI data.

Autoři: Di Gao Guanghao Yang Jiarun Shen a další

Zdroj: Frontiers in Computational Neuroscience; 2024, p01-12, 12p

Témata: HEALTH risk assessment, FUNCTIONAL magnetic resonance imaging, VALUE engineering, EXTRACTION techniques, DATA mining

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

Autoři: Yang, Yongjie Chao, Wenming Ma, Li a další

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

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

Groundwater Pollution Source and Aquifer Parameter Estimation Based on a Stacked Autoencoder Substitute.

Autoři: Wang, Han Zhang, Jinping Li, Hang a další

Zdroj: Water (20734441); Sep2024, Vol. 16 Issue 18, p2564, 15p

Témata: LATIN hypercube sampling, FIX-point estimation, DEEP learning, HEURISTIC, PARAMETER estimation

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

Autoři: Jing, Jianchun Liu, Yuhang Lei, Dian a další

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

Témata: INPAINTING, TRANSFORMER models, MATHEMATICAL optimization, FEATURE extraction