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2022 Vol. 44, No. 10
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2022, 44(10): 3343-3352.
doi: 10.11999/JEIT220380
Abstract:
Deep convolutional neural network-based image Super-Resolution (SR) methods assume generally that the degradations of Low-Resolution (LR) images are fixed and known (e.g., bicubic downsampling). Thus, they are almost unable to super-resolve images wi...
Deep convolutional neural network-based image Super-Resolution (SR) methods assume generally that the degradations of Low-Resolution (LR) images are fixed and known (e.g., bicubic downsampling). Thus, they are almost unable to super-resolve images wi...
2022, 44(10): 3353-3362.
doi: 10.11999/JEIT220375
Abstract:
Focusing on the serious color shift and loss of details caused by light absorption, backscattering and other factors in underwater images, an underwater image enhancement method based on multi-scale cascaded network is proposed in this paper. For the...
Focusing on the serious color shift and loss of details caused by light absorption, backscattering and other factors in underwater images, an underwater image enhancement method based on multi-scale cascaded network is proposed in this paper. For the...
2022, 44(10): 3363-3371.
doi: 10.11999/JEIT211012
Abstract:
The underwater image quality is seriously degraded due to the effects of absorption and scattering when light propagates underwater. In order to remove color distortion and blur, and improve the quality of underwater image effectively, an underwater ...
The underwater image quality is seriously degraded due to the effects of absorption and scattering when light propagates underwater. In order to remove color distortion and blur, and improve the quality of underwater image effectively, an underwater ...
2022, 44(10): 3372-3378.
doi: 10.11999/JEIT210761
Abstract:
In order to solve the problem of low detection accuracy of SSD-MV2, a Selective and Efficient Block (SEB) and a Selective and Deformable Block (SDB) are proposed. At the same time, the basic network and additional feature extraction network of SSD-MV...
In order to solve the problem of low detection accuracy of SSD-MV2, a Selective and Efficient Block (SEB) and a Selective and Deformable Block (SDB) are proposed. At the same time, the basic network and additional feature extraction network of SSD-MV...
2022, 44(10): 3379-3388.
doi: 10.11999/JEIT211593
Abstract:
In this paper, a novel zero-shot low-light image enhancement framework is proposed based on dual iterations. The outer iteration uses a network to estimate the enhancement parameters, with which the inner iteration improves actually the image, and th...
In this paper, a novel zero-shot low-light image enhancement framework is proposed based on dual iterations. The outer iteration uses a network to estimate the enhancement parameters, with which the inner iteration improves actually the image, and th...
2022, 44(10): 3389-3398.
doi: 10.11999/JEIT211517
Abstract:
The absorption and scattering properties of the water medium cause different types of distortion in underwater images, which affects seriously the accuracy and effectiveness of subsequent processing. At present, underwater image enhancement methods w...
The absorption and scattering properties of the water medium cause different types of distortion in underwater images, which affects seriously the accuracy and effectiveness of subsequent processing. At present, underwater image enhancement methods w...
2022, 44(10): 3399-3408.
doi: 10.11999/JEIT211131
Abstract:
Considering the difficult problems of brightness enhancement, noise suppression and maintaining texture color consistency in the low-light image enhancement model, a low-light image enhancement method based on the shifted window self-attention mechan...
Considering the difficult problems of brightness enhancement, noise suppression and maintaining texture color consistency in the low-light image enhancement model, a low-light image enhancement method based on the shifted window self-attention mechan...
2022, 44(10): 3409-3418.
doi: 10.11999/JEIT220381
Abstract:
Previous dehazing models trained on synthetic hazy images can not generalize well on real hazy scenes and improve the performance of high-level vision tasks significantly. To resolve this issue, a semi-supervised image dehazing based on multi-priors ...
Previous dehazing models trained on synthetic hazy images can not generalize well on real hazy scenes and improve the performance of high-level vision tasks significantly. To resolve this issue, a semi-supervised image dehazing based on multi-priors ...
2022, 44(10): 3419-3426.
doi: 10.11999/JEIT220260
Abstract:
Applying the object detection framework to the processing of underwater sonar images is a recent high-profile topic. Existing detection methods for sonar data are mainly based on the texture of sonar image. These methods are not able to handle the un...
Applying the object detection framework to the processing of underwater sonar images is a recent high-profile topic. Existing detection methods for sonar data are mainly based on the texture of sonar image. These methods are not able to handle the un...
2022, 44(10): 3427-3434.
doi: 10.11999/JEIT211324
Abstract:
Most image dehazing algorithms perform well in one or several homogeneous hazy map datasets, but process poor performance in datasets with different styles or nonhomogeneous hazy map datasets. Meanwhile, in practical application, the algorithm will b...
Most image dehazing algorithms perform well in one or several homogeneous hazy map datasets, but process poor performance in datasets with different styles or nonhomogeneous hazy map datasets. Meanwhile, in practical application, the algorithm will b...
2022, 44(10): 3435-3446.
doi: 10.11999/JEIT210787
Abstract:
In the research and development of high-end intelligent security check system, it is a challenging key technology how to make the detection of whether the human body is carrying hiding contraband quickly and efficiently in the normal process of non-c...
In the research and development of high-end intelligent security check system, it is a challenging key technology how to make the detection of whether the human body is carrying hiding contraband quickly and efficiently in the normal process of non-c...
2022, 44(10): 3447-3457.
doi: 10.11999/JEIT210764
Abstract:
ElectroEncephaloGraphy (EEG) is an important brain functional imaging technology. The task to reconstruct cortical activities based on the scalp EEG is called EEG source imaging. However, the accurate reconstruction of the locations and sizes of brai...
ElectroEncephaloGraphy (EEG) is an important brain functional imaging technology. The task to reconstruct cortical activities based on the scalp EEG is called EEG source imaging. However, the accurate reconstruction of the locations and sizes of brai...
2022, 44(10): 3458-3464.
doi: 10.11999/JEIT210323
Abstract:
As a classic feature fusion method, Canonical Correlation Analysis (CCA) is widely used in the field of pattern recognition. Its goal is to learn the relevant projection direction to maximize the correlation between the two sets of variables, but the...
As a classic feature fusion method, Canonical Correlation Analysis (CCA) is widely used in the field of pattern recognition. Its goal is to learn the relevant projection direction to maximize the correlation between the two sets of variables, but the...
2022, 44(10): 3465-3475.
doi: 10.11999/JEIT210716
Abstract:
Trajectory prediction is one of the core tasks in automatic driving system. At present, trajectory prediction algorithms based on deep learning involve information representation, perception and motion reasoning of targets. Considering the problem th...
Trajectory prediction is one of the core tasks in automatic driving system. At present, trajectory prediction algorithms based on deep learning involve information representation, perception and motion reasoning of targets. Considering the problem th...
2022, 44(10): 3476-3484.
doi: 10.11999/JEIT210812
Abstract:
An accurate relative localization is critical for multiple robots to realize collaboration and formation control. Visual or Light Detection And Ranging (LiDAR)-based approaches use feature matching to determine the relative pose between robots in ind...
An accurate relative localization is critical for multiple robots to realize collaboration and formation control. Visual or Light Detection And Ranging (LiDAR)-based approaches use feature matching to determine the relative pose between robots in ind...
2022, 44(10): 3485-3491.
doi: 10.11999/JEIT210729
Abstract:
This paper focused on the problem of the multi-access transmission in multiuser Multiple-Input Multiple-Output (MIMO) relay systems. In order to improve the performance in terms of system capacity and bit error rate, a joint precoding approach for th...
This paper focused on the problem of the multi-access transmission in multiuser Multiple-Input Multiple-Output (MIMO) relay systems. In order to improve the performance in terms of system capacity and bit error rate, a joint precoding approach for th...
2022, 44(10): 3492-3498.
doi: 10.11999/JEIT210772
Abstract:
To improve the operation cycle and energy utilization of Internet of Things (IoT) nodes, an energy-efficient maximization resource allocation algorithm is proposed for a multi-tag wireless-powered backscatter communication network. Specifically, a re...
To improve the operation cycle and energy utilization of Internet of Things (IoT) nodes, an energy-efficient maximization resource allocation algorithm is proposed for a multi-tag wireless-powered backscatter communication network. Specifically, a re...
2022, 44(10): 3499-3506.
doi: 10.11999/JEIT210768
Abstract:
In order to tackle the problem of single-mixed signal modulation type recognition with low efficiency and poor accuracy in satellite communication, based on clustering characteristics of constellation and high order cumulants, a joint algorithm is pr...
In order to tackle the problem of single-mixed signal modulation type recognition with low efficiency and poor accuracy in satellite communication, based on clustering characteristics of constellation and high order cumulants, a joint algorithm is pr...
2022, 44(10): 3507-3515.
doi: 10.11999/JEIT210825
Abstract:
Considering the problem that the traditional noise reduction algorithm damages the high Signal-to-Noise Ratio (SNR) signal and reduces the accuracy of signal recognition, a SNR classification algorithm based on convolutional neural network is propose...
Considering the problem that the traditional noise reduction algorithm damages the high Signal-to-Noise Ratio (SNR) signal and reduces the accuracy of signal recognition, a SNR classification algorithm based on convolutional neural network is propose...
2022, 44(10): 3516-3523.
doi: 10.11999/JEIT210830
Abstract:
VLC-WiFi (Visible Light Communication-Wireless Fidelity) heterogeneous networks are becoming a popular short-distance wireless communication solution. However, limited spectrum resources make it difficult for VLC-WiFi heterogeneous network to meet th...
VLC-WiFi (Visible Light Communication-Wireless Fidelity) heterogeneous networks are becoming a popular short-distance wireless communication solution. However, limited spectrum resources make it difficult for VLC-WiFi heterogeneous network to meet th...
2022, 44(10): 3524-3531.
doi: 10.11999/JEIT210802
Abstract:
With the development of 5G mobile communication systems and the optimization of network performance, high-precision and low-complexity path loss prediction models become more important. This paper combined the location of the receiver and transmitter...
With the development of 5G mobile communication systems and the optimization of network performance, high-precision and low-complexity path loss prediction models become more important. This paper combined the location of the receiver and transmitter...
2022, 44(10): 3532-3540.
doi: 10.11999/JEIT210743
Abstract:
In order to solve the problem of virtual network function migration caused by time-varying network traffic in network slicing, a Virtual Network Function (VNF) migration algorithm based on Federated learning with Bidirectional Gate Recurrent Units (F...
In order to solve the problem of virtual network function migration caused by time-varying network traffic in network slicing, a Virtual Network Function (VNF) migration algorithm based on Federated learning with Bidirectional Gate Recurrent Units (F...
2022, 44(10): 3541-3552.
doi: 10.11999/JEIT210775
Abstract:
In distributed Inverse Synthetic Aperture Radar (ISAR) imaging, if the transmitted waveforms are nonorthogonal, it is difficult to obtain the ideal range image by the traditional matched filtering method, which will affect the azimuth imaging effect....
In distributed Inverse Synthetic Aperture Radar (ISAR) imaging, if the transmitted waveforms are nonorthogonal, it is difficult to obtain the ideal range image by the traditional matched filtering method, which will affect the azimuth imaging effect....
2022, 44(10): 3553-3565.
doi: 10.11999/JEIT210657
Abstract:
The current satellite ground test system has outstanding real-time attributes, but due to insufficient data mining and analysis, it is difficult to achieve satellite system-level health diagnosis. Comprehensive evaluation needs to be completed manual...
The current satellite ground test system has outstanding real-time attributes, but due to insufficient data mining and analysis, it is difficult to achieve satellite system-level health diagnosis. Comprehensive evaluation needs to be completed manual...
2022, 44(10): 3566-3573.
doi: 10.11999/JEIT210724
Abstract:
Considering the issue of performance degradation or even failure of the available Inverse Synthetic Aperture Radar (ISAR) object recognition methods based on Deep Convolution Neural Networks (DCNNs) with insufficient training samples, a small- data I...
Considering the issue of performance degradation or even failure of the available Inverse Synthetic Aperture Radar (ISAR) object recognition methods based on Deep Convolution Neural Networks (DCNNs) with insufficient training samples, a small- data I...
2022, 44(10): 3574-3582.
doi: 10.11999/JEIT210820
Abstract:
Considering the problems of the existing time-frequency analysis of Prolate Spheroidal Wave Functions (PSWFs) signals without explicit expressions, uncontrollable numerical simulation errors, and lack of symmetry in the time-frequency distribution re...
Considering the problems of the existing time-frequency analysis of Prolate Spheroidal Wave Functions (PSWFs) signals without explicit expressions, uncontrollable numerical simulation errors, and lack of symmetry in the time-frequency distribution re...
2022, 44(10): 3583-3591.
doi: 10.11999/JEIT210696
Abstract:
In order to realize the recognition of human posture in complex and diverse environments, a method based on Frequency Modulated Continuous Wave (FMCW) radar signal is proposed. This method obtains multi-dimensional information of distance, speed and ...
In order to realize the recognition of human posture in complex and diverse environments, a method based on Frequency Modulated Continuous Wave (FMCW) radar signal is proposed. This method obtains multi-dimensional information of distance, speed and ...
2022, 44(10): 3592-3601.
doi: 10.11999/JEIT210661
Abstract:
To solve the core problem in signal processing of the enhanced LOng RAnge Navigation (eLORAN) system—cycle-identification, a joint algorithm for harsh condition such as high intensity skywave interference and low Signal-Noise-Ratio (SNR) is proposed ...
To solve the core problem in signal processing of the enhanced LOng RAnge Navigation (eLORAN) system—cycle-identification, a joint algorithm for harsh condition such as high intensity skywave interference and low Signal-Noise-Ratio (SNR) is proposed ...
2022, 44(10): 3602-3609.
doi: 10.11999/JEIT210763
Abstract:
In view of the limited mapping range of the original Logistic map, the small range of chaotic parameters, and the uneven distribution, a new improved Logistic chaotic map is proposed. The mapping has two parameters\begin{document}$ \mu $\end{documen...
In view of the limited mapping range of the original Logistic map, the small range of chaotic parameters, and the uneven distribution, a new improved Logistic chaotic map is proposed. The mapping has two parameters
2022, 44(10): 3610-3617.
doi: 10.11999/JEIT210747
Abstract:
The domestic cryptographic SM9 algorithm is an identity-based cryptographic scheme independently designed by our nation, and has progressively attracted attention from all walks of life. In order to resolve the problem of inefficient verification of ...
The domestic cryptographic SM9 algorithm is an identity-based cryptographic scheme independently designed by our nation, and has progressively attracted attention from all walks of life. In order to resolve the problem of inefficient verification of ...
2022, 44(10): 3618-3626.
doi: 10.11999/JEIT210882
Abstract:
With the establishment of the Intelligent Transportation Systems (ITS), Vehicular Ad-hoc NETworks (VANETs) play great roles in improving traffic safety and efficiency. However, due to the openness and fragility of VANETs, they are vulnerable to vario...
With the establishment of the Intelligent Transportation Systems (ITS), Vehicular Ad-hoc NETworks (VANETs) play great roles in improving traffic safety and efficiency. However, due to the openness and fragility of VANETs, they are vulnerable to vario...
2022, 44(10): 3627-3634.
doi: 10.11999/JEIT210878
Abstract:
In 2019, CAO et al. (doi: 10.11999/JEIT190166) proposed an efficient certificateless aggregate signature scheme which is suitable for multi-party contract signing environment. They demonstrated that their scheme is unforgeable under the random oracle...
In 2019, CAO et al. (doi: 10.11999/JEIT190166) proposed an efficient certificateless aggregate signature scheme which is suitable for multi-party contract signing environment. They demonstrated that their scheme is unforgeable under the random oracle...
2022, 44(10): 3635-3642.
doi: 10.11999/JEIT210791
Abstract:
In recent years, new image encryption algorithms have been continuously proposed, but their security has not been fully analyzed and verified. The security of a newly reported image encryption algorithm is analyzed in this paper. The analyzed algorit...
In recent years, new image encryption algorithms have been continuously proposed, but their security has not been fully analyzed and verified. The security of a newly reported image encryption algorithm is analyzed in this paper. The analyzed algorit...
2022, 44(10): 3643-3649.
doi: 10.11999/JEIT210720
Abstract:
Linear codes play an important role in data storage, information security and secret sharing. Minimal linear codes are the first choice to design secret sharing schemes, so the design of minimal linear codes is one of the important contents of curren...
Linear codes play an important role in data storage, information security and secret sharing. Minimal linear codes are the first choice to design secret sharing schemes, so the design of minimal linear codes is one of the important contents of curren...
2022, 44(10): 3650-3656.
doi: 10.11999/JEIT210697
Abstract:
Compared with traditional storage, the difficulty of DeoxyriboNucleic Acid (DNA) data storage is that insertion and deletion errors in sequenced reads pose a great challenge to data recovery. For forward error-correcting coded DNA storage with one-ba...
Compared with traditional storage, the difficulty of DeoxyriboNucleic Acid (DNA) data storage is that insertion and deletion errors in sequenced reads pose a great challenge to data recovery. For forward error-correcting coded DNA storage with one-ba...
2022, 44(10): 3657-3665.
doi: 10.11999/JEIT210677
Abstract:
Memristor is an ideal device to realize artificial synapses due to its low power consumption, memory ability and nanometer size. In order to construct a simple, efficient and comprehensive associative memory circuit, a simple neuron circuit and a syn...
Memristor is an ideal device to realize artificial synapses due to its low power consumption, memory ability and nanometer size. In order to construct a simple, efficient and comprehensive associative memory circuit, a simple neuron circuit and a syn...
2022, 44(10): 3666-3672.
doi: 10.11999/JEIT210781
Abstract:
A compact power divider with ultra-wide stopband for harmonic suppression based on resonator slow-wave transmission lines is proposed in this paper. The resonator slow-wave transmission line is consisted of rectangular resonators, a T-type resonator ...
A compact power divider with ultra-wide stopband for harmonic suppression based on resonator slow-wave transmission lines is proposed in this paper. The resonator slow-wave transmission line is consisted of rectangular resonators, a T-type resonator ...
2022, 44(10): 3673-3682.
doi: 10.11999/JEIT210795
Abstract:
Considering the problem that the intermittent fault signal of the electronic system is greatly affected by noise and has a lot of redundant information, which results in the limitation of the deep neural network model to evaluate the severity of the ...
Considering the problem that the intermittent fault signal of the electronic system is greatly affected by noise and has a lot of redundant information, which results in the limitation of the deep neural network model to evaluate the severity of the ...
2022, 44(10): 3683-3696.
doi: 10.11999/JEIT220625
Abstract:
As a kind of low-complexity and non-coherent information transmission schemes, the differential chaotic communication system has been widely studied because of its good performance against multipath fading. Recently, a series of fruitful researches o...
As a kind of low-complexity and non-coherent information transmission schemes, the differential chaotic communication system has been widely studied because of its good performance against multipath fading. Recently, a series of fruitful researches o...
2022, 44(10): 3697-3708.
doi: 10.11999/JEIT210790
Abstract:
Object detection is one of the basic tasks and research hotspots in the field of computer vision. The YOLO (You Only Look Once) frames object detection is a regression problem to implement end-to-end training and detection. YOLO becomes the leading o...
Object detection is one of the basic tasks and research hotspots in the field of computer vision. The YOLO (You Only Look Once) frames object detection is a regression problem to implement end-to-end training and detection. YOLO becomes the leading o...
