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检索条件"主题词=Signal Processing Algorithms"

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Subspace Tracking with Dynamical Models on the Grassmannian

Subspace Tracking with Dynamical Models on the Grassmannian

引用

Sensor Array and Multichannel signal processing Workshop

作者： Alex Saad-Falcon Brighton Ancelin Justin Romberg Department of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

ISBN: (数字)9798350344813

ISBN: (纸本)9798350344820

Tracking signals in dynamic environments presents difficulties in both analysis and implementation. In this work, we expand on a class of subspace tracking algorithms which utilize the Grassmann manifold - the set of linear subspaces of a high-dimensional vector space. We design regularized least squares algorithms based on common manifold operations and intuitive dynamical models. We demonstrate the efficacy of the approach for a narrowband beamforming scenario, where the dynamics of multiple signals of interest are captured by motion on the Grassmannian.

关键词： Manifolds Array signal processing Tracking Heuristic algorithms Computational modeling signal processing algorithms Vectors

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Research on Improved Retinex Traffic Sign Image Enhancement Algorithm

Research on Improved Retinex Traffic Sign Image Enhancement ...

引用

signal processing and Intelligent Computing (SPIC), International Conference on

作者： Lijuan Qin Qingtang Wang Haonan Yan Ting Wang School of Information Science and Engineering Shenyang Ligong University Shenyang China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Science Shenyang China

ISBN: (数字)9798350368888

ISBN: (纸本)9798350368895

This article proposes an improved Retinex image enhancement algorithm applied in the field of traffic sign recognition through in-depth research in the field of image processing. In the traditional Retinex algorithm, there are often problems such as blurred images, distorted image colors, and foggy weather images when the light is too dark. Improve and optimize the algorithm to effectively improve the recognition ability of traffic sign images. It avoids the phenomenon of images being too dark, low contrast, and foggy in harsh environments, and is superior in maintaining edges, details, and colors.

关键词： Deep learning Visualization Image color analysis Image edge detection signal processing algorithms signal processing Image restoration Image enhancement Visual perception Meteorology

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System Design and Analysis for Vital Sign Detection Using Ultra Wide Band Radar

System Design and Analysis for Vital Sign Detection Using Ul...

引用

IEEE signal processing and Communications Applications (SIU)

作者： Yusuf Salih Gurbet Burak Baykal Özgür ÖZdemirr Elektronik ve Haberleşme Mühendisliği İstanbul Teknik Üniversitesi

ISBN: (数字)9798350388961

ISBN: (纸本)9798350388978

Detection of vital signs with high accuracy is crucial for the success of search and rescue operations. Ultra Wide Band (UWB) radar sensors have been utilized for the detection of vital signs due to their short detection time, high penetration capability, and low energy consumption characteristics. In this study, a contactless detection system based on a UWB radar sensor module was designed and analyzed to detect human vital signs. Contactless detection requires the implementation of background noise elimination, Singular Value Decomposition (SVD) filtering, and Moving Target Indicator (MTI) filtering due to the risk of noise and clutter. From the noise-cleaned data, the detection of the target's distance was established, and vital signs such as heart rate and respiration signals were determined using the Variational Mode Decomposition (VMD) algorithm. The designed vital sign detection algorithm was tested with experimental data obtained using the PulsON 440 UWB radar.

关键词： Filtering Noise Radar detection signal processing algorithms Sensor phenomena and characterization Radar signal processing Sensor systems

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Optimized Machine Learning Model for Alzheimer’s Disease Classification

Optimized Machine Learning Model for Alzheimer’s Disease Cl...

引用

signal processing and Advance Research in Computing (SPARC), International Conference on

作者： Goutami Das Ritunsa Mishra Saumendra Kumar Mohapatra Mihir Narayan Mohanty Applied Signal Processing Lab ITER Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar India Faculty of Engineering & Technology Sri Sri University Cuttack Odisha India

ISBN: (数字)9798350385205

ISBN: (纸本)9798350385212

This paper presents an optimized machine learning model for Alzheimer’s disease classification, leveraging nature-inspired algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), and Hunger Search Method (HSM). These algorithms are utilized to reduce data dimensionality while preserving crucial features, ensuring the integrity of the dataset. We then investigate the efficacy of neural network models, including Deep Neural Networks (DNN) and stacked ensemble models, in classifying Alzheimer’s disease. Our experimental results demonstrate that this approach significantly enhances classification accuracy compared to conventional methods, offering a promising direction for improved diagnostic tools in Alzheimer’s research. Around 97% classification accuracy is obtained using stacked model with optimized features extracted using HSM.

关键词： Machine learning algorithms Accuracy Search methods signal processing algorithms Artificial neural networks Machine learning Classification algorithms Alzheimer's disease Particle swarm optimization Genetic algorithms

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Experimental Study of Target Signatures in Reverse Forward Scatter Radar With Spatially Distributed Reflections

Experimental Study of Target Signatures in Reverse Forward S...

引用

International Radar Symposium (IRS)

作者： Jared Taylor Edward Hoare Marina Gashinova Mikhail Cherniakov Electronic Electrical and Systems Engineering Univeristy of Birmingham Birmingham United Kingdom

ISBN: (数字)9788395602092

ISBN: (纸本)9798350371109

Reverse forward scatter radar (RFSR) is a monostatic radar that uses a background reflector to measure the forward scattered signals from a target. A spatially distributed reflector is used in the background for the first time to record the RFSR signature of a target. The results experimentally verify previous theoretical work by matching a measured and simulated signature. The ability of RFSR to measure stealth targets against a spatially distributed background reflector is demonstrated by showing that the RFSR signatures of two different targets are identical. The targets have the same shape and size but significantly differ in the backscatter radar cross section (RCS).

关键词： Radio frequency Radar cross-sections Surface waves Radar clutter Radar detection signal processing algorithms Radar scattering

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The Algorithm of Nonlinear Data Coding and Decoding by Fixed Point Transformations for Secured Mobile Digital Communication Systems

The Algorithm of Nonlinear Data Coding and Decoding by Fixed...

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Systems of signal Synchronization, Generating and processing in Telecommunications (SYNCHROINFO)

作者： V. V. Dubrouski H. I. Dulkevich Scientific Researches Department Belarusian State Academy of Telecommunications Minsk Belarus

ISBN: (数字)9798350373448

ISBN: (纸本)9798350373455

The article discusses the method of coding and decoding of binary information stream by the methods of nonlinear dynamics in a finite Galois Field, each state in which is determined by a known value. The proposed algorithm is defined for values with a sign and provides effective signal coding and decoding for digital communication systems. algorithms and the results of numerical modeling are given. The fundamental possibility of self-healing the decoding ability of the signal processing device under the conditions of interference is shown.

关键词： Heuristic algorithms signal processing algorithms signal processing Digital communication Encoding Decoding Telecommunications

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An Improved Multi-target Detection Algorithm Based on YOLOv5 Network

An Improved Multi-target Detection Algorithm Based on YOLOv5...

引用

signal processing and Intelligent Computing (SPIC), International Conference on

作者： Haiyang Wang Shiqing Ren Fang Zhao School of Information Science and Engineering Shenyang Ligong University Shenyang China Guangzhou College of Technology and Business Guangzhou China

ISBN: (数字)9798350368888

ISBN: (纸本)9798350368895

Real-time detection of traffic participants such as vehicles and pedestrians is an important part of information interaction in today's society, but the low accuracy of multi-target detection in complex weather conditions and dense intersections is still a challenging problem. Therefore, this paper introduces a multi-object identification algorithm utilizing deep neural networks. Firstly, the SPPF component in the YOLOv5 network is substituted with SimSPPF, resulting in an expanded receptive field. Then, the SimAM attention mechanism module is attached to the backbone network of the YOLOv5 to enhance the extraction ability of the model and reduce the false detection rate. Finally, replace the loss function of YOLOv5 with the Varifocal Loss function, which can improve the model's detection ability for targets of different scales and sizes, making it more robust.

关键词： YOLO Training Attention mechanisms Accuracy Pedestrians Computational modeling signal processing algorithms signal processing Real-time systems Meteorology

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Optimal Blocklength Allocation in QoS-Constrained URLLC Networks with Personalised Latency Requirements

Optimal Blocklength Allocation in QoS-Constrained URLLC Netw...

引用

IEEE Workshop on signal processing Advances in Wireless Communications (SPAWC)

作者： Xiaopeng Yuan Yujia Zhou Yulin Hu Anke Schmeink INDA Institute RWTH Aachen Univesity Germany School of Electronic Information Wuhan University China

ISBN: (数字)9798350393187

ISBN: (纸本)9798350393194

For this work we study a multi-device network for multi-access ultra-reliable low latency communication (URLLC) services. In particular, we assume each device has a personalized latency requirement. Due to the low latency demand, we consider the impacts of finite blocklength (FBL) codes and formulate a weighted sum throughput maximization problem under certain quality-of-service (QoS) constraints, while the personalized latency requirements have been characterized as constraints on the assigned blocklength. To cope with the nonconvex blocklength allocation problem, we analyze the features for the optimal solution and find out that the optimum of such type of nonconvex problem occurs at the extreme points. Following the optimal solution feature, we propose an optimal algorithm via inspecting all possible extreme points in the feasible convex polytope. Furthermore, for reducing the design complexity for massive-device scenario, we also propose an efficient suboptimal solution based on a revised simplex tableau method, which is particularly modified for solving certain class of nonconvex problem. Finally, with numerical simulations, we verify the optimality of our proposed optimal design, and highlight the low complexity of our proposed efficient solution together with a superior throughput performance.

关键词： Performance evaluation Wireless communication Conferences signal processing algorithms Quality of service Ultra reliable low latency communication Throughput Complexity theory Resource management System analysis and design

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Improved Radon Transform and Differential Autocorrelation Based Motion Blur Parameter Estimation Method

Improved Radon Transform and Differential Autocorrelation Ba...

引用

signal processing and Intelligent Computing (SPIC), International Conference on

作者： Jiongming Xu Xiai Chen Tao Sun Jiayi Yan Huannan Qi Xinglin Hou School of Automation and Electrical Engineering Shenyang Ligong University Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China School of Automotive Engineering Changzhou Institute of Technology Changzhou China

ISBN: (数字)9798350368888

ISBN: (纸本)9798350368895

Restoring of motion blurred image is an important research direction in digital image processing technology, which is of great importance in many fields including aerospace, remote sensing technology, medical image processing and so on. However, the existing motion fuzzy parameter is still inaccurate when solving the length and angle imprecisely, which impact the restoration of motion blurred images. The paper proposes improvement methods for this problem. First, Radon transform is accepted in measuring relative motion angle in image pre-processing. Least squares line fitting based accurate angle estimation algorithm is proposed for small blur length. Second, an improved method based on differential autocorrelation length estimation is obtained for high accurate relative motion length estimation. In addition, this paper proposes the corresponding motion fuzzy parameter estimation algorithm for the images with different fuzzy degrees to make the estimation results more *** results demonstrate that the proposed method can estimate motion blur parameters more accurately. The restored image is superior to the existing methods in both subjective and objective. The proposed method is of great importance in engineering.

关键词： Accuracy Parameter estimation Fitting Noise reduction Estimation signal processing algorithms Transforms Image restoration Autocorrelation Remote sensing

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Energy Efficiency Comparison of RIS Architectures in MISO Broadcast Channels

Energy Efficiency Comparison of RIS Architectures in MISO Br...

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IEEE Workshop on signal processing Advances in Wireless Communications (SPAWC)

作者： Mohammad Soleymani Ignacio Santamaria Eduard Jorswieck Marco Di Renzo Jesús Gutiérrez Signal & System Theory Group Universität Paderborn Germany Dept. Communications Engineering Universidad de Cantabria Spain Institute for Communications Technology Technische Universität Braunschweig Germany Université Paris-Saclay CNRS CentraleSupélec Laboratoire des Signaux et Systèmes Gif-sur-Yvette France IHP - Leibniz-Institut für Innovative Mikroelektronik Frankfurt (Oder) Germany

ISBN: (数字)9798350393187

ISBN: (纸本)9798350393194

In this paper, we develop energy-efficient schemes for multi-user multiple-input single-output (MISO) broadcast channels (BCs), assisted by reconfigurable intelligent surfaces (RISs). To this end, we consider three architectures of RIS: locally passive diagonal (LP-D), globally passive diagonal (GP-D), and globally passive beyond diagonal (GP-BD). In a globally passive RIS, the power of the output signal of the RIS is not greater than its input power, but some RIS elements can amplify the signal. In a locally passive RIS, every element cannot amplify the incident signal. We show that these RIS architectures can substantially improve energy efficiency (EE) if the static power of the RIS elements is not too high. Moreover, GP-BD RIS, which has a higher complexity and static power than LP-D RIS and GP-D RIS, provides better spectral efficiency, but its EE performance highly depends on the static power consumption and may be worse than its diagonal counterparts.

关键词： Wireless communication Power demand Spectral efficiency signal processing algorithms Reconfigurable intelligent surfaces MISO communication signal processing Minimax techniques Energy efficiency Surface treatment

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