Suchergebnisse - complex-valued convolutional autoencoder

Complex-Valued Convolutional Autoencoder and Spatial Pixel-Squares Refinement for Polarimetric SAR Image Classification von Shang, Ronghua, Wang, Guangguang, A. Okoth, Michael, Jiao, Licheng

“… In this work, a complex-valued convolutional autoencoder network (CV-CAE) is proposed. CV-CAE extends the encoding and decoding of CAE to complex domain so that the phase information can be adopted …”
Volltext

An Attention Based Complex-valued Convolutional Autoencoder for GEO SA-Bi SAR Ship Target Refocusing von Lian, Meng, Bolic, Miodrag

“… Inspired by the recent success of artificial neural network (ANN) and deep learning (DL) in optical image processing, an improved complex-valued convolutional autoencoder (ICV-CAE …”
Volltext

Deep-Learning-Based Dictionary Construction for MIMO Radar Detection in Complex Scenes von Wang, Hongyan, Zhou, He, Guo, Qinghua, Li, Jun

“… , where the nonlinear characteristics of the received signal are effectively represented and corrected using a complex-valued convolutional autoencoder (CVCAE) network …”
Volltext

SAR Images Unsupervised Feature Abstraction with A Complex-valued Convolutional Autoencoder von He, Jinling, Jin, Yuhang, Tian, Sirui, Wang, Chao, Zhang, Hong

“… In order to solve these problems, this paper proposes a model for vehicle SAR image interpretation based on complex-valued convolutional auto-encoder (CV-CAE …”
Volltext

Physiological Signal-Based Real-Time Emotion Recognition Based on Exploiting Mutual Information with Physiologically Common Features von Ean-Gyu Han, Tae-Koo Kang, Myo-Taeg Lim

Volltext

Preserving polarimetric properties in PolSAR image reconstruction through Complex-Valued Auto-Encoders von Gabot, Quentin, Fix, Jeremy, Frontera-Pons, Joana, Ren, Chengfang, Ovarlez, Jean-Philippe

“… In this paper, we employ complex-valued neural networks and study the performance of complex-valued convolutional autoencoders …”
Volltext

Fast Full Wave Electromagnetic Forward Solver Based on Deep Conditional Convolutional Autoencoders von Zhang, Huan Huan, Yao, He Ming, Jiang, Lijun, Ng, Michael

“… ), consisting of a complex-valued deep convolutional encoder network and its corresponding complex-valued deep convolutional decoder network …”
Volltext

Complex-Valued Autoencoder for Multi-Polarization SLC SAR Data Compression with Side Information von Asiyabi, Reza Mohammadi, Anghel, Andrei, Rizzoli, Paola, Martone, Michele, Datcu, Mihai

“… In order to tackle this problem, in this study, a Complex-Valued (CV) end-to-end deep learning-based architecture based on convolutional autoencoders is proposed to compress Single Look Complex (SLC) SAR data …”
Volltext

Capsule Network With Multiscale Feature Fusion for Hidden Human Activity Classification von Wang, Xiang, Wang, Yumiao, Guo, Shisheng, Kong, Lingjiang, Cui, Guolong

“… ) block, and a capsule block. Specifically, the feature extractor with two complex-valued convolutional layers is designed to extract the deep features from the range profiles …”
Volltext

Advances in Image Processing, Artificial Intelligence and Intelligent Robotics

“… The aim of this reprint is to give researchers the opportunity to present new tendencies, the latest achievements and research directions, and their current …”
Volltext

Denoising Method for Wireless Communication Signals Based on Convolutional AutoEncoder von Min, Woonggyu, Kim, Jongseok, Jo, Ohyun

“… In this paper, we propose a method to effectively remove noise from signals by utilizing convolutional autoen-coder …”
Volltext

Physiological Signal-Based Real-Time Emotion Recognition Based on Exploiting Mutual Information with Physiologically Common Features von Han, Ean-Gyu, Kang, Tae-Koo, Lim, Myo-Taeg

“… ) and electromyography (EMG) physiological signals. The proposed approach employs a complex-valued neural network to extract common features from the physiological signals, enabling successful emotion recognition without interference …”
Volltext

End-to-End Learning of Beam Probing and RSSI-Based Multi-User Hybrid Precoding Design von Abdallah, Asmaa, Celik, Abdulkadir, Alkhateeb, Ahmed, Eltawil, Ahmed M.

“… ) using complex-valued convolutional layers. The autoencoder is trained to directly produce RF beamforming vectors for hybrid architectures based on projected …”
Volltext

Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery von Gopalakrishnan, Anand, Stanić, Aleksandar, Schmidhuber, Jürgen, Michael Curtis Mozer

“… Current state-of-the-art synchrony-based models encode object bindings with complex-valued activations and compute with real-valued weights in feedforward architectures …”
Volltext

Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle von Kuen, Jason, Lim, Kian Ming, Lee, Chin Poo

“… These descriptors were developed generically without considering tracking-specific information. In this paper, we propose to learn complex-valued invariant representations …”
Volltext

Compressed Sensing MRI Reconstruction with Co-VeGAN: Complex-Valued Generative Adversarial Network von Vasudeva, Bhavya, Deora, Puneesh, Bhattacharya, Saumik, Pradhan, Pyari Mohan

“… However, they treat the inherently complex-valued MRI data as real-valued entities by extracting the magnitude content or concatenating the complex-valued data as two real-valued channels for processing …”
Volltext

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-Valued Convolutional Networks von Zhao, Zhongyuan, Vuran, Mehmet Can, Guo, Fujuan, Scott, Stephen D.

“… In this paper, a deep complex-valued convolutional network (DCCN) is developed to recover bits from time-domain OFDM signals without relying on any explicit DFT/IDFT …”
Volltext

FDC-TA-DSN Ship Classification Model and Dataset Construction Based on Complex-Valued SAR von Gao, Gui, He, Yucong, Zhao, Jinghao, Li, Sijie, Wang, Meixiang, Yang, Gang, Zhang, Xi

“… On the other hand, there is a lack of available complex-valued SAR databases for the purpose of classification …”
Volltext

GNSS Anomaly Detection with Complex-Valued LSTM Networks von Savolainen, Outi, Elango, Arul, Morrison, Aiden, Sokolova, Nadezda, Ruotsalainen, Laura

“… Previous GNSS anomaly detectors concentrate on one interference type only. Although methods based on deep learning are emerging, most work use convolutional neural …”
Volltext

Deep Learning-Aided Optical IM/DD OFDM Approaches the Throughput of RF-OFDM von Van Luong, Thien, Zhang, Xiaoyu, Xiang, Luping, Hoang, Tiep M., Xu, Chao, Petropoulos, Periklis, Hanzo, Lajos

“… In particular, O-OFDMNet employs deep neural networks (DNNs) for converting a complex-valued signal into a non-negative signal in the time-domain at the transmitter and vice versa at the receiver …”
Volltext