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检索条件"任意字段=Conference on Advanced Signal Processing Algorithms"

共 3487 条记录，以下是1-10 订阅

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Third International conference on advanced algorithms and signal Image processing, AASIP 2023

Third International Conference on Advanced Algorithms and Si...

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3rd International conference on advanced algorithms and signal Image processing, AASIP 2023

ISBN: (纸本)9781510668522

The proceedings contain 210 papers. The topics discussed include: research progress and prospects of intelligent planning algorithms in navigation collision avoidance;research on determining the end point of carbon kneading based on LSTM algorithm;pavement grade recognition algorithm based on sprung mass acceleration;research on distributed network information security diagnosis method based on matrix algorithm;two-dimensional array antenna directional pattern optimization method based on genetic simulated annealing algorithm;air defense target allocation based on improved genetic algorithm;research on visible and infrared binocular image fusion algorithm based on improved NSCT;study and application of migration technology in ground penetrating radar (GPR) data processing;load forecasting analysis based on the residential electricity consumption data;performance of BOK-MPSK chirp modulation for data transmission;and anomaly detection method of power purchase material data based on B IRCH clustering algorithm and time series.

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Second International conference on advanced algorithms and signal Image processing, AASIP 2022

Second International Conference on Advanced Algorithms and S...

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2nd International conference on advanced algorithms and signal Image processing, AASIP 2022

ISBN: (纸本)9781510660571

The proceedings contain 74 papers. The topics discussed include: design of muscle state sensing system based on flexible micro airbag structure;classification on normal chest x-ray and pneumonia x-ray;research and design of image super-resolution algorithm based on attention mechanism;automatic segmentation of thyroid nodule from ultrasound images using spatial-channel attentive u-net;research on line spectrum extraction based on improved discrete particle swarm;research on fundus image augmentation algorithm;human joint pose estimation based on the Kalman filter;self-attention mechanism fusion method for bi-modal images;and the application of low rank matrix decomposition method in image restoration.

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2021 International conference on advanced algorithms and signal Image processing, AASIP 2021

2021 International Conference on Advanced Algorithms and Sig...

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2021 International conference on advanced algorithms and signal Image processing, AASIP 2021

The proceedings contain 41 papers. The topics discussed include: an integrated energy system load prediction study based on deep belief networks and multitasking learning;fault identification of medium and low voltage DC distribution system based on high frequency fault component;research on mosaic tile color model based on HIS color space model and particle square optimization algorithm;optimization model of furnace temperature curve based on high forward and heat radiation equation;wideband electromagnetic field vector antenna array technique and direction finding algorithm;parameter estimation of Nash IUH for multiple storm events using particle swarm optimization method;research on quasi-geoid fitting method based on EGM2008 model and quadratic polynomial fitting function;online probabilistic power flow with tie-line power transfer: a stacked denoising auto-encoders method;and study on feature extraction of cable surface defect image based on morphology and edge detection algorithm.

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Fourth International conference on advanced algorithms and signal Image processing, AASIP 2024

Fourth International Conference on Advanced Algorithms and S...

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4th International conference on advanced algorithms and signal Image processing, AASIP 2024

ISBN: (纸本)9781510682801

The proceedings contain 49 papers. The topics discussed include: auto thresholds of image multi-level segmentation applying maximum value to construct 2 d histogram;intersection lane line segmentation algorithm based on improved YOLOv8n-seg;controllable image subtitle generation in electric power construction scenes based on codec;privacy dataset distillation for medical imaging using class centralization and covariance matching for OCTMNIST;a secure encryption algorithm for substation inspection images based on chaotic map and DNA coding;an optimized YOLOv8-based algorithm for remote sensing image detection;intelligent generation of home design images based on AIGC technology;adaptive micro-area X-ray spectroscopy peak finding based on symmetric zero-area method;double-exponential trapezoidal shaping filtering algorithm based on FPGA;layout optimization of millimeter-wave radar in subway tunnels based on incomprehensible but intelligible-in-time logics optimization algorithm;traffic sign dehazing based on improved conditional generative adversarial network;and MCTSleepNet: transformer-based sleep classification with multimodal fusion.

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SPA 2023 - signal processing: algorithms, Architectures, Arrangements, and Applications, conference Proceedings

SPA 2023 - Signal Processing: Algorithms, Architectures, Arr...

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26th IEEE signal processing: algorithms, Architectures, Arrangements, and Applications, SPA 2023

ISBN: (纸本)9798350304985

The proceedings contain 33 papers. The topics discussed include: enhancing image security using legacy-based encryption with chaotic tent map and memristor;segmentation of retina vessels in 2D OCT-reconstructed fundus images with 3D UNet;advanced fault diagnosis in rotating machines using 2D grayscale images with improved deep convolutional neural networks;automated audio time alignment for multi-microphone setups: an open-source approach;analog, programmable switched capacitor FIR filter based on rotator architecture implemented in CMOS technology;contour extraction of surgical stoma surfaces using 2.5D images from smartphone 3D scanning;convolutional transformer-based image compression;fast prototyping of in-pavement airport navigation lamp prism classification;diagnostic development of damage of ship generator sets by means of electrical signals;and memory-efficient graph convolutional networks for object classification and detection with event cameras.

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2022 11th advanced Satellite Multimedia Systems conference and the 17th signal processing for Space Communications Workshop, ASMS/SPSC 2022

2022 11th Advanced Satellite Multimedia Systems Conference a...

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11th advanced Satellite Multimedia Systems conference and the 17th signal processing for Space Communications Workshop, ASMS/SPSC 2022

ISBN: (纸本)9781665473774

The proceedings contain 17 papers. The topics discussed include: learning to optimize: balancing two conflict metrics in MB-HTS networks;design and implementation of a bundle protocol unified API;5G new radio non-terrestrial networks multiuser precoding;frame synchronization algorithms for satellite Internet of Things scenarios;distributed SDN-based load-balanced routing for low earth orbit satellite constellation networks;timing alignment of distributed gateways: theoretical analysis and experimental demonstration;co-existence of terrestrial and non-terrestrial networks on adjacent frequency bands;rethinking LEO constellations routing with the unsplittable multi-commodity flows problem;joint graph-based user scheduling and beamforming in LEO-MIMO satellite communication systems;network selection and computation offloading in non-terrestrial network edge computing environments for vehicular applications;and satellite beam densification for high-demand areas.

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Research and Design of AIS Reception signal processing System Based on GNU Radio 27

Research and Design of AIS Reception Signal Processing Syste...

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27th International conference on advanced Communications Technology, ICACT 2025

作者： Zhou, Zijiao Gong, Peng Tang, Bin He, Piao Peng, Xiuming Zhang, Guangwei National Key Laboratory of Mechatronic Engineering and Control School of Mechatronical Engineering Beijing Institute of Technology Beijing China

ISBN: (纸本)9791188428137

The Automatic Identification System (AIS), as a standard communication and navigation device for ships, plays a significant role in ensuring the safety and efficiency of maritime traffic. The accuracy of the AIS receiver’s signal processing directly affects the bit error rate (BER) and packet error rate (PER) of the AIS system, drawing considerable attention to AIS signal reception and processing technologies. Current research on AIS reception signals mainly focuses on custom implementations using hardware platforms like FPGAs;however, the high cost of hardware implementation has become a limiting factor in the development of AIS signal processing technologies. Therefore, this paper designs an AIS reception signal processing system based on GNU Radio, developing demodulation algorithm and NRZI decoding modules, and testing them with typical demodulation algorithms. Experimental results demonstrate the feasibility and effectiveness of the designed reception signal processing system. Copyright 2025 Global IT Research Institute (GIRI). All rights reserved.

关键词： Decoding

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Review of identification technologies for stray animal governance 5

Review of identification technologies for stray animal gover...

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5th International conference on signal processing and Computer Science, SPCS 2024

作者： Han, Puze College of Science and Engineering University of Minnesota Twin Cities Minneapolis55455 United States

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

In recent years, societal changes have led to a growing prominence of pets in people's lives. However, uncontrolled pet reproduction in urban areas has given rise to a significant issue of stray animals, posing serious threats to human health and the environment. Conventional manual methods for counting stray animals face challenges in terms of efficiency and the risk of disease transmission. With technological advancements, image recognition, and sound identification, among other techniques, have emerged as crucial tools to address this issue. Image recognition, leveraging intuitive statistics based on external features, combined with the low-power attributes of sound identification and the health assessment capabilities of thermal imaging, collectively provide comprehensive technological support for stray animal population statistics. In the realm of image algorithms, both traditional target detection algorithms and deep learning methods such as RCNN and Faster RCNN employ convolutional neural networks to accurately identify and locate stray animals. Regarding sound algorithms, traditional Gaussian mixture models and hidden Markov models, as well as deep learning techniques involving convolutional neural networks, have effectively enhanced the accuracy of stray animal sound recognition. The integration of image and audio in a hybrid method significantly enhances stray animal monitoring. Employing advanced techniques in video tracking and sound recognition, this approach offers an efficient and practical solution, crucial for wildlife ecosystem surveillance and conservation. Research indicates that the application of deep learning methods in the domains of image and sound has significantly advanced compared to traditional approaches. In terms of image processing, I utilized the YOLO algorithm to perform grid division, feature extraction, and loss computation steps to achieve stray animal detection, demonstrating outstanding performance. Through the application of t

关键词： Animals Detection and tracking algorithms Object detection Animal model studies Image processing Education and training Diseases and disorders Positron emission tomography Deep learning Expectation maximization algorithms

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An Improved Digital signal processing for signal Enhancement and Interference Mitigation 3

An Improved Digital Signal Processing for Signal Enhancement...

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3rd IEEE International conference on Automation and Computation, AUTOCOM 2025

作者： Alam, Intekhab Baxi, Paramjit Sahoo, Barnali Garg, Mohan Roopashree, R. Thaj Mary Delsy, T. Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Department of Computer Science and Engineering Odisha Bhubaneswar India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh Baddi174103 India Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331542375

Digital signal processing has become a fundamental tool in signal processing applications, such as speech and image processing, due to its ability to manipulate and examine signals in a digital form skillfully. A primary challenge in signal processing involves the presence of unwanted noise and interference, which can negatively impact the precision and quality of the processed signal. The proposed advanced DSP approach aims to improve signal enhancement and interference mitigation techniques using sophisticated algorithms and methods. The proposed state-of-the-art DSP approach includes noise reduction algorithms, such as adaptive filtering and spectral subtraction, to eliminate unwanted noise from the signal. Additionally, cutting-edge signal processing techniques, such as wavelet transforms and time-frequency analysis, are used for signal enhancement and demising. The proposed approach employs adaptive equalization techniques to mitigate interference from other signals and substantially improve the overall signal quality. The enhanced DSP approach is evaluated through simulation and real-world experiments, demonstrating its effectiveness in improving signal quality and reducing interference considerably. The proposed approach has the potential to significantly improve the accuracy and reliability of various signal processing applications considerably, making it a valuable tool in fields such as telecommunications, audio and video processing, and medical signal analysis. © 2025 IEEE.

关键词： Image enhancement

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Dark area recognition algorithm for SAR images based on superpixel statistical features

Dark area recognition algorithm for SAR images based on supe...

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2024 advanced Fiber Laser conference, AFL 2024

作者： Liu, Peng Liu, Yanyang Li, Xuemao Dong, Xuezhi Xiao, Qian Li, Zhenfang National Key Laboratory of Radar Signal Processing Xidian University Xi'an710071 China Shanghai Institute of Satellite Engineering Shanghai200090 China Aerospace Stellar Technology Co. Ltd. Beijing100095 China

ISBN: (数字)9781510688889

ISBN: (纸本)9781510688872

The dark areas in SAR images are primarily low backscatter regions dominated by noise signals, characterized by significant texture, low echo energy, and large phase interference errors in the echo signals. Accurately identifying these dark regions is crucial for high-precision SAR image target detection and classification, SAR cross-radiometric calibration of satellite constellations, SAR image filtering, and the generation of digital surface models based on SAR technology. This paper proposes a dark region recognition algorithm for SAR images based on superpixel statistical features(SSF). The algorithm constructs a bimodal distribution curve using the statistical features of superpixels and searches for the region with the minimum amplitude proportion within the bimodal distribution, which serves as a constraint to ensure that the OTSU thresholding method converges to the global optimal solution. This approach addresses the issue of inaccurate threshold detection in traditional algorithms, significantly improving the accuracy of dark region detection in SAR images. The detection results can further be used to identify low backscatter areas, such as shadows, water bodies, and asphalt roads. © 2025 SPIE.

关键词： Superpixels

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