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16th International Conference on Signal processing Systems, ICSPS 2024

作者： Zhai, Jingyu Wang, Chenchen Jiao, Yang Liu, Yipeng Wan, Qun Nation Key Laboratory on Blind Signal Processing School of Information and Communication Engineering University of Electronic Science and Technology of China Sichuan Chengdu611731 China

ISBN: (纸本)9781510689251

The estimation of Time Difference of Arrival (TDOA) stands as a pivotal aspect of TDOA localization. This paper explores the TDOA estimation method utilizing decimation compression sampling for general signals and introduces a decimation compression sampling technique grounded in convex optimization. Simulation outcomes reveal that for signals possessing limited frequency domain sparsity, the data compression methodology advocated in this paper, in contrast to the traditional decimation compression method predicated on amplitude spectrum sorting, notably mitigates the root mean square error (RMSE) performance loss in Time Difference Maximum Likelihood Estimation (MLE). © 2025 SPIE.

关键词： Mean square error

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Pseudo-linear Approach to Joint LOS and NLOS Localization 16

Pseudo-linear Approach to Joint LOS and NLOS Localization

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16th International Conference on Signal processing Systems, ICSPS 2024

作者： Lv, Meng Rou Li, Bei Ning Chang, Xuan Yu Qin, Hao Wan, Qun School of Information and Communication Engineering Nation Key Laboratory on Blind Signal Processing University of Electronic Science and Technology of China Sichuan Chengdu611731 China

ISBN: (纸本)9781510689251

Wireless indoor positioning currently has a wider range of application, and high-precision positioning is considered a key capability after 5G. Angle-of-Arrival (AOA) and Time-of-arrival (TOA) positioning techniques has received widespread attention because it requires only two base stations and does not need synchronization time to complete the positioning. However, the disadvantage is that a small angle measurement error will have a large impact on the positioning accuracy. In this paper, an approach to joint line-of-sight (LOS) and non-line-of-sight (NLOS) localization based on TOA and AOA measurements of both direct and reflected paths was proposed. In addition, a pseudo-linear algorithm was used to provide a closed form solution for localization. The effect of measurement errors on pseudo-linear estimation was analyzed to enhance estimation accuracy and compare it with maximum likelihood estimation and CRLB (Cramér-Rao Lower Bound). Simulation results indicate that the positioning model and error analysis employed in this study are feasible and meet the requirements for high-precision positioning. © 2025 SPIE.

关键词： Time of arrival

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DASC-SPT: Towards Self-Supervised Panoramic Semantic Segmentation

DASC-SPT: Towards Self-Supervised Panoramic Semantic Segment...

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2025 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025

作者： Tan, Tianlong Chen, Bin Cao, Hongliang Yan, Chenggang Ma, Yike Dai, Feng Institute of Computing Technology Chinese Academy of Sciences Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences Beijing China Shandong University China University of Chinese Academy of Sciences Beijing China Hangzhou Dianzi University China

ISBN: (纸本)9798331510831

Self-Supervised Semantic Segmentation, aiming to leverage masses of unlabeled data for boosting semantic segmentation, has been rapidly emerging as an active task in recent years. However, existing self-supervised semantic segmentation approaches mainly focus on planar images, leaving multiple distorted objects encountered in panoramic images unexplored due to the formidable challenge of handling heterogeneous degrees of distortions across different locations. In this paper, we propose a novel Self-Supervised Panoramic Semantic Segmentation model, termed DASC-SPT, built upon the mainstream contrastive learning framework. Towards distortions in panoramic images, we present two structures to better learn from distorted features by applying planar images. For the input images of self-supervision, we design a Spherical Projection Transformation (SPT) strategy that involves randomly projecting planar images onto various locations of the sphere to introduce the distortions. For pixel-wise distorted features, we construct a Deformation-aware Sampling Consistency (DASC) framework to further utilize the shared content and discrepancies caused by different distortions of paired views, where the deformation-aware consistency can be quantified on pixel-wise features. Both of the two components facilitate the model to adapt to distortions and boost panoramic semantic segmentation. Extensive comprehensive experiments on three panoramic datasets demonstrate the effectiveness and superiority of DASC-SPT approach. © 2025 IEEE.

关键词： Semantic Segmentation

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Performance Bound on Blind Estimation of Environmental Parameters and Radiation Source Locations with Misspecified Multipath TOA Measurements 16

Performance Bound on Blind Estimation of Environmental Param...

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16th International Conference on Signal processing Systems, ICSPS 2024

作者： Wen, Hao Jiao, Yang Zhang, Kehao Peng, Xiangyu Wan, Qun Nation Key Laboratory on Blind Signal Processing School of Information and Communication Engineering University of Electronic Science and Technology of China Sichuan Chengdu611731 China

ISBN: (纸本)9781510689251

Multipath propagation has attracted extensive attention due to its inclusion of environmental information. However, it is difficult to match multipath with the environment without a priori knowledge, making it challenging to exploit multipath. This paper focuses on the performance bound of the estimation problem in a rectangular room. Due to the lack of parameter information of the room in base station (BS), the estimation of environmental parameters and locations of user equipment (UE) distributed in the room are blind estimation problems. Measurements are the time of arrival (TOA) of first-order non-line-of-sight (NLOS) paths and line-of-sight (LOS) path between the BS and UEs, but the specific pairing between NLOS paths and the environment remains unknown. The paper first describes the pairing problem, which causes misspecified multipath TOA measurements, and subsequently derives the likelihood function and the performance bound known as the misspecified Cramer-Rao bound (MCRB) under various pairing conditions. Simulation results demonstrate that only under correct pairings or just a few wrong pairings, the MCRB will significantly less than the other case. © 2025 SPIE.

关键词： Cramer-Rao bounds

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A Novel Environment Reconstruction Method based on Distributed NLOS Signals 16

A Novel Environment Reconstruction Method based on Distribut...

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16th International Conference on Signal processing Systems, ICSPS 2024

作者： Yu, Fangrui Li, Junlin Xie, Wei Zhang, Kehao Wan, Qun School of Information and Communication Engineering Nation Key Laboratory on Blind Signal Processing University of Electronic Science and Technology of China Sichuan Chengdu611731 China

ISBN: (纸本)9781510689251

Integrated Sensing and Communication (ISAC) is a rapidly evolving field with extensive application prospects. Environmental reconstruction (ER) is an important content of ISAC. Existing ER techniques often require large sample sizes or specific signals, which significantly limit their application. User Equipments (UEs) widely distributed in the environment and their communication signals provide an adequate measurement basis. However, there are challenges in utilizing communication signals due to limited research, and difficulties in identifying and extracting Non-Line-of-Sight (NLOS) signals. This paper proposes a distributed ER algorithm based on Angle of Arrival (AOA) and Time of Flight (TOF) information of NLOS signals, enabling identification and utilization of various order NLOS signals under complex NLOS conditions. A series of simulation delays validate the effectiveness of the proposed method. © 2025 SPIE.

关键词： Non line of sight propagation Reflection Reconstruction algorithms Mirror pointing Signal processing Environmental sensing Wireless communications

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Generation of 200 fs optical vortex pulses with 12MW peak power from a Yb-doped fiber amplifier

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Optics Letters 2025年第8期50卷 2695-2698页

作者： Luo, Weijia Lin, Di Wang, Shan Yu, Lin Wei, Cunjiang Zhuang, Ziheng Guo, Xiaoyang Liu, Xing Fu, Songnian Qin, Yuwen Institute of Advanced Photonics Technology School of Information Engineering Guangdong University of Technology Guangzhou510006 China Key Laboratory of Photonic Technology for Integrated Sensing and Communication Ministry of Education of China Guangdong University of Technology Guangzhou510006 China Guangdong Provincial Key Laboratory of Information Photonics Technology Guangdong University of Technology Guangzhou510006 China Shenzhen Key Laboratory of Ultra-Intense Laser and Advanced Material Technology Center for Intense Laser Application Technology College of Engineering Physics Shenzhen Technology University Shenzhen518118 China Key Laboratory of Advanced Optical Precision Manufacturing Technology of Guangdong Higher Education Institutes Sino-German College of Intelligent Manufacturing College of Engineering Physics Shenzhen Technology University Shenzhen518118 China

We report the generation of high peak power linearly polarized femtosecond optical vortex pulses based on parabolic pulse amplification within a large-mode-area few-mode Ybdoped fiber (YDF) amplifier system. A dispersion-managed passively mode-locked Yb-doped fiber oscillator with a Gaussian-shaped spectrum serves as the seed source, which evolves into parabolic shape in the subsequent preamplifiers. Aq-plate-based mode converter, positioned before the power amplifier, is employed to convert the Gaussian-shaped beam into optical vortex beams with a topological charge of l=±1. The resulting optical vortex beams are efficiently amplified to an average output power of ∼16.8W at a repetition rate of 3.7 MHz, corresponding to a pulse energy of 4.5 μJ. The chirped output pulses are externally compressed to ∼200 fs, achieving a peak power of ∼12.7MW. To the best of our knowledge, this represents the highest peak power achieved to date for optical vortex pulses generated from a conventional step-index fiber. © 2025 Optica Publishing Group.

关键词： Pulse repetition rate

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The Analysis of Indoor High-precision Positioning Performance using Dual-panel System 16

The Analysis of Indoor High-precision Positioning Performanc...

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16th International Conference on Signal processing Systems, ICSPS 2024

作者： Ma, Yubin Lv, Mengrou Sun, Luyao Li, Junlin Wan, Qun School of Information and Communication Engineering Nation Key Laboratory on Blind Signal Processing University of Electronic Science and Technology of China Sichuan Chengdu611731 China

ISBN: (纸本)9781510689251

This paper investigates the high-precision positioning capabilities of a dual-panel system operating in the millimeter-wave frequency band. It begins by highlighting the significance of high-precision positioning technologies. Additionally, it provides background on the advantages and challenges associated with millimeter-wave frequencies. The study introduces a novel method to enhance positioning accuracy. This method extends the baseline using reflecting surfaces and eliminates time discrepancies between Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) signals. The effectiveness of the proposed method is evaluated through a Cramér-Rao Lower Bound (CRLB) analysis. This analysis compares single-panel and dual-panel systems under various conditions, including considerations of transceiver delay. Simulation experiments demonstrate that the dual-panel system significantly improves positioning accuracy compared to the single-panel system. This improvement is consistent regardless of transceiver delay. The results indicate that the dual-panel system effectively mitigates multipath effects and NLOS conditions. As a result, there is enhanced positioning stability and accuracy. These findings provide valuable insights and methodologies for advancing indoor positioning technologies. © 2025 SPIE.

关键词： Transceivers

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Deep Learning Algorithm for Person Re-Identification Based on Dual Network Architecture

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Computers, Materials & Continua 2025年第5期83卷 2889-2905页

作者： Meng Zhu Xingyue Wang Honge Ren Abeer Hakeem Linda Mohaisen College of Information Engineering Harbin UniversityHarbin150086China Heilongjiang Provincial Key Laboratory of the Intelligent Perception and Intelligent Software Harbin UniversityHarbin150086China College of Computer and Control Engineering Northeast Forestry UniversityHarbin150040China Heilongjiang Forestry Intelligent Equipment Engineering Research Center Northeast Forestry UniversityHarbin150040China Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia

Changing a person’s posture and low resolution are the key challenges for person re-identification(ReID)in various deep learning *** this paper,we introduce an innovative architecture using a dual attention network that includes an attentionmodule and a joint measurement module of spatial-temporal *** proposed approach can be classified into two main ***,the spatial attention feature map is formed by aggregating features in the spatial ***,the same operation is carried out on the channel dimension to formchannel attention ***,the receptive field size is adjusted adaptively tomitigate the changing person posture ***,we use a joint measurement method for the spatial-temporal information to fully harness the data,and it can also naturally integrate the information into the visual features of supervised ReID and hence overcome the low resolution *** experimental results indicate that our proposed algorithm markedly improves the accuracy in addressing changing human postures and low-resolution issues compared with contemporary leading *** proposed method shows superior outcomes on widely recognized benchmarks,which are the Market-1501,MSMT17,and DukeMTMC-reID ***,the proposed algorithmattains a Rank-1 accuracy of 97.4% and 94.9% mAP(mean Average Precision)on the Market-1501 ***,it achieves a 94.2% Rank-1 accuracy and 91.8% mAP on the DukeMTMC-reID dataset.

关键词： Person reidentification ReID computer vision self-attention spatial-temporal information

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DiffTimb: Diffusion Models for Many-to-Many Timbre Transfer 10th

DiffTimb: Diffusion Models for Many-to-Many Timbre Transfer

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10th Conference on Sound and Music technology, CSMT 2023

作者： Gan, Xu Wu, Yifei Liu, Xinlu Duan, Ruilei Li, Wei School of Computer Science and Technology Fudan University Shanghai200438 China Department of Music Engineering ZheJiang Conservatory of Music Hangzhou310024 China Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai200433 China

ISBN: (纸本)9789819779611

The goal of the timbre transfer task is to apply the auditory characteristics of one instrument to another instrument. Past timbre transfer methods faced numerous challenges due to the limitations of the selected generation model. These challenges include difficulties in training, ambiguous results, poor diversity, and slow generation speed. To address these issues, we propose a diffusion model for timbre transfer, DiffTimb, which can be combined with vocoder to achieve single-note timbre transfer. Unlike traditional models that require training a specific model for each pair of timbre transfers, DiffTimb enables the conversion of various musical instrument timbres received in a single model, namely, many-to-many timbre transfer. We compare two Unet-based denoising frameworks and propose two feature fusion methods to fuse timbre and pitch features. We conduct unconditional and conditional generation pre-experiments to verify the generation ability of DiffTimb. To improve the generation effect, we clean the Nsynth dataset and get two subsets for our task. Experimental results show that DiffTimb has outperformed previous methods in both subjective and objective evaluations. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Audio acoustics

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keypoints and Action Units Jointly Drive Talking Head Generation for Video Conferencing

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IEEE Transactions on Circuits and Systems for Video technology 2025年

作者： Shi, Wuzhen Xue, Zibang Wen, Yang Shenzhen University Shenzhen Key Laboratory of Digital Creative Technology Guangdong Province Engineering Laboratory for Digital Creative Technology Guangdong Provincial Key Laboratory of Intelligent Information Processing College of Electronics and Information Engineering Shenzhen518060 China

This paper introduces a high-quality talking head generation method that is jointly driven by keypoints and action units, aiming to strike a balance between low-bandwidth transmission and high-quality generation in video conference scenarios. Existing methods for talking head generation often face limitations: they either require an excessive amount of driving information or struggle with accuracy and quality when adapted to low-bandwidth conditions. To address this, we decompose the talking head generation task into two components: a driving task, focused on information-limited control, and an enhancement task, aimed at achieving high-quality, high-definition output. Our proposed method innovatively incorporates the joint driving of keypoints and action units, improving the accuracy of pose and expression generation while remaining suitable for low-bandwidth environments. Furthermore, we implement a multistep video quality enhancement process, targeting both the entire frame and key regions, while incorporating temporal consistency constraints. By leveraging attention mechanisms, we enhance the realism of the challenging-to-generate mouth regions and mitigate background jitter through background fusion. Finally, a prior-driven super-resolution network is employed to achieve high-quality display. Extensive experiments demonstrate that our method effectively supports low-resolution recording, low-bandwidth transmission, and high-definition display. © 1991-2012 IEEE.

关键词： Bandwidth

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