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2020 International Conference engineering and Telecommunication, En and T 2020

作者： Pham, Huu Loc Phystech School of Radio Engineering and Computer Science Moscow Institute of Physics and Technology Moscow Russia

ISBN: (纸本)9781728188294

We consider method to compute term rank of a matrix based on the construction a bipartite graph. The term rank of a matrix $A$ is defined to be the minimum number of rows and columns that contain all non-zero elements of the matrix. In this article, we will discuss the Ford-Fulkerson algorithm for the maximum flow problem. Next, we propose modeling the algorithm in the MATLAB environment. The application of this algorithm for evaluating the characteristics of codes in a term-rank metric is considered. © 2020 IEEE.

关键词： Graph theory

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Multi-scale Two-Way Deblurring Network for Non-uniform Single Image Deblurring 14th

Multi-scale Two-Way Deblurring Network for Non-uniform Singl...

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14th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2021

作者： Cheng, Zhongzhe Luo, Bing Xu, Li Li, Siwei Xiao, Kunshu Pei, Zheng The Center for Radio Administration Technology Development School of Computer and Software Engineering Xihua University Chengdu610039 China The School of Science Xihua University Chengdu610039 China Xihua College of Xihua University Chengdu610039 China

ISBN: (纸本)9783030898137

We propose a new and effective image deblurring network based on deep learning. The motivation of this work is based on traditional algorithms and deep learning which take an easy-to-difficult approach to image deblurring. In traditional algorithms, a rough blur kernel is obtained first, and then a precise blur kernel is gradually refined. In deep learning, the pyramid structure is adopted to restore clear images from easy to difficult. We hope to recover the clear image by two-way approximation. One network recovers the roughly clear image from the blurred image, and the other network recovers part of the structural information from the blank image, and finally the two networks are added together to obtain the clear image. Experiments show that since we decomposed the original deblurring task into two different tasks, the network performance has been effectively improved. Compared with other latest networks, our network can get clearer images. © 2021, ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Image enhancement

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The Fast CU Splitting Method Based on CU Size, Quantization Parameters and Difference of Variances

The Fast CU Splitting Method Based on CU Size, Quantization ...

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engineering and Telecommunication (En&T), International Conference

作者： Vsevolod M. Sergeev Alexander V. Dvorkovich Phystech School of Radio Engineering and Computer Technology Moscow Institute of Physics and Technology Dolgoprudnyy Russia

ISBN: (纸本)9781728183916

HEVC is one of the most efficient video-coding standards used in different kinds of services. In current HEVC model there is a large number of methods for encoding: different modes and various kinds of frame structures. In a default algorithm the full search of different encoding combinations to find the most efficient one is realized. It leads to high encoding complexity of the standard implementation. To reduce the complexity of encoding algorithm the method for fast CU (Coding Unit) decision is offered in this paper. It is based on picture structure, quantization parameter and size of CTB (Coding Tree Block). The experimental results showed that this method gives about 43% of time reduction with about 1% of coding efficiency loss.

关键词： Video coding Quantization (signal) Bit rate Prediction algorithms Encoding Complexity theory Partitioning algorithms

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Modelling a One-dimensional Cross-Range ISAR Profile of a Radar Object

Modelling a One-dimensional Cross-Range ISAR Profile of a Ra...

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Radiation and Scattering of Electromagnetic Waves (RSEMW)

作者： Evgenii G. Parinov Igor V. Zimin Phystech School of Radio Engineering and Computer Technology Moscow Institute of Physics and Technology Moscow Russia

In this paper the modeling of a one-dimensional (1D) cross-range inverse synthetic aperture radar (ISAR) profile of a radar object is considered. The object moves in a circular orbit. It is assumed that the object has an elongated shape. Formulas for modeling 1D ISAR profile of the radar object are given. The case of discrete observation angles is considered.

关键词： Shape Electromagnetic scattering Orbits Inverse synthetic aperture radar

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Individual Intelligent Recognition Method Based on Fingerprint Features of Radar Emitter

Individual Intelligent Recognition Method Based on Fingerpri...

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2021 CIE International Conference on Radar, Radar 2021

作者： Liu, Zhongwei Gao, Hongwei Chen, Jie Zhou, Dongming Li, Yingchun Sun, Shuyan Xiang, Rongrong School of Electronic and Information Engineering Beihang University Beijing China Beijing Institute of Radio Measurement Radar R&d Center Beijing China Beijing Institute of Computer Technology and Application Department of Data Technology and Application Beijing China

ISBN: (纸本)9781665498142

Aiming at the problem of radar emitter individual recognition with unintentional modulation feature, a method of emitter fingerprint identification based on deep learning is proposed. In this method, the deep fingerprint features of radar emitter are extracted by deep Convolutional neural network, and the fingerprint feature library is constructed. Through similarity calculation, the individual recognition results of radar emitter signal are obtained. The results show that the new method can effectively identify both known and unknown emitter individuals. © 2021 IEEE.

关键词： Deep learning Fingerprint features Individual identification Radar emitter

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Transformer-Based Deep Learning Detector for Dual-Mode Index Modulation 3D-OFDM

Transformer-Based Deep Learning Detector for Dual-Mode Index...

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Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

作者： Toan Gian Tien-Hoa Nguyen Trung Tan Nguyen Van-Cuong Pham Thien Van Luong School of Electrical and Electronics Engineering Hanoi University of Science and Technology Hanoi Vietnam Faculty of Radio-Electronics Le Quy Don Technical University Ha Noi Vietnam Faculty of Computer Science Phenikaa University Hanoi Vietnam

In this paper, we propose a deep learning-based signal detector called TransD3D-IM, which employs the Transformer framework for signal detection in the Dual-mode index modulation-aided three-dimensional (3D) orthogonal frequency division multiplexing (DM-IM-3D-OFDM) system. In this system, the data bits are conveyed using dual-mode 3D constellation symbols and active subcarrier indices. As a result, this method exhibits significantly higher transmission reliability than current IM-based models with traditional maximum likelihood (ML) detection. Nevertheless, the ML detector suffers from high computational complexity, particularly when the parameters of the system are large. Even the complexity of the Log-Likelihood Ratio algorithm, known as a low-complexity detector for signal detection in the DM-IM-3D-OFDM system, is also not impressive enough. To overcome this limitation, our proposal applies a deep neural network at the receiver, utilizing the Transformer framework for signal detection of DM-IM-3D-OFDM system in Rayleigh fading channel. Simulation results demonstrate that our detector attains to approach performance compared to the model-based receiver. Furthermore, TransD3D-IM exhibits more robustness than the existing deep learning-based detector while considerably reducing runtime complexity in comparison with the benchmarks.

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Hybrid Spiking Vision Transformer for Object Detection with Event Cameras (ICML 2025)

arXiv

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arXiv 2025年

作者： Xu, Qi Deng, Jie Shen, Jiangrong Chen, Biwu Tang, Huajin Pan, Gang School of Computer Science and Technology Dalian University of Technology Dalian China Faculty of Electronic and Information Engineering Xi’an Jiaotong University Xian China National Key Lab of Human-Machine Hybrid Augmented Intelligence Xi’an Jiaotong University Xian China State Key Lab of Brain-Machine Intelligence Zhejiang University Hangzhou China Shanghai Radio Equipment Research Institute Shanghai China College of Computer Science and Technology Zhejiang University Hangzhou China

Event-based object detection has gained increasing attention due to its advantages such as high temporal resolution, wide dynamic range, and asynchronous address-event representation. Leveraging these advantages, Spiking Neural Networks (SNNs) have emerged as a promising approach, offering low energy consumption and rich spatiotemporal dynamics. To further enhance the performance of event-based object detection, this study proposes a novel hybrid spike vision Transformer (HsVT) model. The HsVT model integrates a spatial feature extraction module to capture local and global features, and a temporal feature extraction module to model time dependencies and long-term patterns in event sequences. This combination enables HsVT to capture spatiotemporal features, improving its capability in handling complex event-based object detection tasks. To support research in this area, we developed and publicly released The Fall Detection Dataset as a benchmark for event-based object detection tasks. This dataset, captured using an event-based camera, ensures facial privacy protection and reduces memory usage due to the event representation format. We evaluated the HsVT model on GEN1 and Fall Detection datasets across various model sizes. Experimental results demonstrate that HsVT achieves significant performance improvements in event detection with fewer parameters. © 2025, CC BY-NC-SA.

关键词： Object detection

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Synthesis of Planar Bifocal Two Mirror, Lens and Mirror-Lens Beamforming Systems

Synthesis of Planar Bifocal Two Mirror, Lens and Mirror-Lens...

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Radiation and Scattering of Electromagnetic Waves (RSEMW)

作者： Vadim A. Kaloshin Vi Ut Nam Electromagnetism Laboratory Kotelnikov Isntitue of Radio Engineering and Electronics of RAS Moscow Russia Phystech School of Radio Engineering and Computer Technology Moscow Institute of Physics and Technology Moscow Russia

New technique for the synthesis of planar bifocal two-mirror, as well as lens and mirror-lens beamforming systems for multi-beam antennas has been developed. The technique is based on setting one initial segment of the cylindrical surface of a lens or mirror, followed by finding the remaining segments. This initial segment is given in the form of a parabolic cylinder, and the initial segment of the second mirror or second surface of the lens is found from the fine focusing condition for the center position of the beam. Further, the technique of sequentially finding new segments of the bifocal system from the condition of accurate focusing is used when the source is located in two focuses symmetrically located relative to the axis of the system. This ensures the continuity of the functions describing the shape of the surfaces of the system at the junctions of the segments, as well as their first two derivatives. It is shown that the new technique can significantly reduce the value of the root-mean-square phase aberration

关键词： Array signal processing Shape Electromagnetic scattering Focusing Mirrors Task analysis Junctions

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The influence of the material and geometrical shape of a semiconductor nanoparticle on the sensitivity of an optical plasmon sensor

The influence of the material and geometrical shape of a sem...

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2020 International Conference engineering and Telecommunication, En and T 2020

作者： Astapenko, Valery A. Sakhno, Sergey V. Yakovets, Andrey V. Khramov, Egor S. Sakhno, Evgeniya V. PhysTech-School of Radio Engineering and Computer Technologies Moscow Institute of Physics and Technology National Research University Moscow Russia

ISBN: (纸本)9781728188294

In the work, the comparison of sensitivities of optical plasmon sensors constructed on the basis of semiconductor nanoparticles of various shapes is presented. The calculation was made within the framework of the dipole approximation. A characteristic of sensitivity is the value of the shift of the plasmon resonance maximum per unit change in the refractive index of a medium. The influence of the material of a nanoparticle and its shape on the sensitivity of an optical plasmon sensor is shown. © 2020 IEEE.

关键词： Nanoparticles

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Active Probe Array for Spherical Near-field Measurement of 5G User Equipment

Active Probe Array for Spherical Near-field Measurement of 5...

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International Symposium on Antennas and Propagation (ISAP)

作者： Kangwook Kim Junhong Kwon Jinsoup Joung Byungkwan Jang Soon-Soo Oh Jong-Hyuk Lim Jeongan Lee School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology (GIST) Gwangju Republic of Korea Dabin Systems Seongnam Republic of Korea Department of Electronics Chosun University Gwangju Republic of Korea National Radio Research Agency Communications Conformity Assessment Center Icheon Republic of Korea

ISBN: (数字)9798350364774

ISBN: (纸本)9798350364781

An active probe array system is presented. The system can perform rapid spherical near-field measurements to characterize 5G user equipment (UE) transmitters from 3-60 GHz. The system comprises receiver module arcs arranged in elevation to acquire signals over the entire spherical surface around the UE. The synchronization and calibration procedures are described, which utilizes the GPS-disciplined rubidium oscillator. The measurement procedure is described, which uses a call simulator. The system enables rapid near-field acquisition of full transmitter signal characteristics for 5G UEs without requiring a phase recovery unit.

关键词： Phased arrays Phase measurement 5G mobile communication Transmitters Receivers Calibration Synchronization Rubidium Probes Oscillators

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