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检索条件"主题词=filtering algorithms"

共 10368 条记录，以下是1181-1190 订阅

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Design and Experimental Verification of Microwave Imaging for Bone Fracuture Detection

Design and Experimental Verification of Microwave Imaging fo...

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IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)

作者： Ye Tian Hao Deng Beier Luo Hongli Peng State Key Laboratory of Radio Frequency Heterogeneous Integration Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798331520717

ISBN: (纸本)9798331520724

This paper proposes a design of microwave imaging (MWI) for bone fracture detection (BFD). The design comprises a single Vivaldi antenna, which scans linearing along the cross-section of the bone in the frequency range from 8.3 GHz to 11.1 GHz, and the image is reconstructed using a range migration algorithm (RMA) combined with mean filtering algorithm (MFA), which removes the artifacts due to the non-uniform constructure of the bone. A set of simulations and experiments were performed on an ex-vivo animal bone. Results show that the design an detect and locate the bone fracture of 1 mm thickness.

关键词： Microwave antennas Radio frequency Animals Conferences Vivaldi antennas filtering algorithms Bones Microwave filters Image reconstruction Microwave imaging

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An Entropy-Based Feature Selection Algorithm for Curve Detections and Parameterization in Grayscale Images

An Entropy-Based Feature Selection Algorithm for Curve Detec...

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Irish Signals and Systems Conference (ISSC)

作者： Tamás Reiter Michael McCann Nathan Henry Computing Department Letterkenny Atlantic Technological University Ireland Queens University Belfast Northern Ireland

ISBN: (数字)9798350352986

ISBN: (纸本)9798350352993

This paper presents a local-global entropy-based algorithm for image edge band localizations. The proposed method computes a series of locally filtered entropy images at variable window sizes and their corresponding global entropy values. Furthermore, the optimal entropy-filtered image is identified by selecting the one with the lowest corresponding global entropy value hypothetically ensuring the lowest potential disorder or variance within the image. Evaluations are conducted comparing the proposed method with the most popular edge detection techniques using a limited set of industrial semiconductor images, demonstrating competitive results. The proposed algorithm is interesting, input parameter free and integrable with other techniques. However, the computational costs may increase significantly depending on the number of local entropy window sizes that need to be processed. Our algorithm can also be extended for future research to incorporate adaptive local window sizes within the image. This algorithm is not designed to compete with state-of-the-art traditional and deep learning-based edge detectors. Instead, it aims to serve as a reliable, manual-tuning-free feature selection method for grayscale images, particularly in scenarios where intricate intensity values contain rich informational content for measurement analyses.

关键词： Location awareness Image edge detection Detectors Manuals Gray-scale filtering algorithms Feature extraction

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Iced Power Line Image Enhancement Method Based on Improved Retinex-Homomorphic Filter

Iced Power Line Image Enhancement Method Based on Improved R...

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Chinese Automation Congress (CAC)

作者： Shuxin Lu Huijun Liang Gangcheng Long Rui Zhu Hubei Minzu University Enshi China Hubei Bojin Electric Co. Ltd Enshi China Shandong Normal University Jinan China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

In order to address issues related to complex backgrounds and poor contrast of transmission line icing image, a line icing image enhancement method is proposed in this paper, which based on improved Retinex-homomorphic filtering. To begin with, to address the issues of uneven brightness and unsatisfactory enhancement effect of traditional homomorphic filtering algorithm, a new filtering function is constructed as the filtering function of improved homomorphic filtering, and the image's high-frequency and low-frequency components are individually processed using the filtering function. Then, to address the edge blurring problem of the traditional Retinex algorithm, the Laplace operator is used to sharpen the edge of the image, and the sharpened image is used as the guided image of the guided filter, and then the guided filter is applied to replace the Gaussian low-pass filter in the conventional Retinex algorithm. Finally, the improved homomorphic filtering and the improved Retinex processing results are fused to obtain the final enhanced image. Experimental results indicate that, in comparison to the traditional algorithm, the enhanced algorithm can significantly improve the line icing image, and is superior to the traditional algorithm in terms of objective evaluation index and subjective visual effect.

关键词： Power transmission lines filtering Image edge detection Brightness Low-pass filters filtering algorithms Visual effects Power system reliability Reliability Image enhancement

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A Computationally Efficient Online Algorithm for Tracking Single Moving Source using Geometrically Constrained Independent Vector Analysis

A Computationally Efficient Online Algorithm for Tracking Si...

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IEEE Global Conference on Consumer Electronics (GCCE)

作者： Jiahui Hu Tetsuya Ueda Bo He Shoji Makino Graduate School of Information Production and Systems Waseda University Kitakyushu Japan

ISBN: (数字)9798350355079

ISBN: (纸本)9798350355086

This paper discusses Independent Vector Analysis (IVA)-based moving source separation under a source tracking scenario where at most one speaker moves. Previous research proposed a computationally efficient algorithm to update filters for source separation under a situation where only one speaker is moving. To make this algorithm practical, we need to optimize the filters before one speaker starts moving and select which filter corresponds to the moving speaker. Thus, we applied Geometric Constraint (GC) to increase the filter’s convergence speed and select the filter automatically. Compared with research that applies GC all the time, our contribution is to apply GC only when all speakers are fixed, which results in lower computational complexity while maintaining its separation performance for our scenario.

关键词： Filters Source separation Tracking filtering algorithms Vectors Computational efficiency Computational complexity Consumer electronics Convergence

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Efficient High Degree Continuous-Time Cubature Kalman Filters

Efficient High Degree Continuous-Time Cubature Kalman Filter...

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IEEE National Conference on Radar

作者： Benjamin Davis Hill Technical Solutions Huntsville AL USA

ISBN: (数字)9798350329209

ISBN: (纸本)9798350329216

Sigma-point filters, including the Unscented Kalman Filter (UKF) and the Cubature Kalman Filter (CKF) are important modern non-linear estimation algorithms. The standard forms of these algorithms are applied to discrete-time systems, however, continuous-time forms also exist. In previous work, the author developed a runtime optimization to sigma-point filters in discrete time called the Hybrid Sigma-point Extended Kalman Filter (HESKF). Using this technique, sigma-point integration is applied to “difficult” subspaces of the dynamics, whereas “easy” subspaces are treated with Jacobian linearization, resulting in a blended filter algorithm. This present work extends the HESKF technique to a continuous-time dynamics and demonstrates the improvement in runtime with an appropriate example.

关键词： Jacobian matrices Discrete-time systems Runtime Heuristic algorithms Estimation Radar filtering algorithms

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Finite-Time Fault Detection for Nonlinear Delayed Systems With Deception Attacks Under Dynamic Event-Triggered Mechanism

Finite-Time Fault Detection for Nonlinear Delayed Systems Wi...

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Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Xue Zhao Siteng Ma Yue Zhao Tiantian Hu Zhihui Wu Department of Applied Mathematics Harbin University of Science and Technology Harbin China School of Automation Harbin University of Science and Technology Harbin China

ISBN: (数字)9798350379228

ISBN: (纸本)9798350390780

This paper tackles the finite-time fault detection (FD) issue for a class of nonlinear systems with deception attacks and mixed time-delays including probability interval delays and distributed delays. For the purpose of alleviating the communication burden, a dynamic event-triggered mechanism (DETM) is introduced to arrange data transmission. The sufficient criteria are obtained to ensure that the FD system can achieve satisfactory performance. On this basis, the parameters of FD filter are obtained by the linear matrix inequality (LMI) method. At last, a simulation is provided to verify the effectiveness of proposed FD algorithm.

关键词： Sufficient conditions Maximum likelihood detection Fault detection Stability criteria Nonlinear filters filtering algorithms filtering theory

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A Point Cloud Registration Method for Antarctic Power Cabins Based on an Improved SAC-IA Algorithm

A Point Cloud Registration Method for Antarctic Power Cabins...

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Machine Learning and Computer Application (ICMLCA), International Conference on

作者： Junyao Lu Shuo Shan Kanjian Zhang Haikun Wei School of Automation Southeast University Nanjing China

ISBN: (数字)9798331530334

ISBN: (纸本)9798331530341

This paper presents a point cloud registration method for Antarctic power cabins based on an improved SAC-IA algorithm. To address the issues of measurement errors in structured light scanning and edge structure damage caused by traditional mean depth filtering, as well as inaccurate random point pair selection and long computation times in the SAC-IA algorithm, the following work was conducted: First, an improved depth filtering algorithm was designed to better filter out depth noise while preserving edge information. Second, ISS keypoint detection and cosine similarity were used to match the best feature pairs, combined with the RANSAC method to remove incorrect matches. Experimental results show that the improved algorithm significantly optimizes the number of key points and matching pairs, greatly saves computational resources, and enhances registration accuracy and robustness.

关键词： Point cloud compression Matched filters Measurement errors Accuracy Machine learning algorithms Noise Machine learning filtering algorithms Antarctica Robustness

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A Study on Banana Leaf Disease Detection Based on Grabcut Algorithm Using Multispectral Camera

A Study on Banana Leaf Disease Detection Based on Grabcut Al...

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International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)

作者： N. Jeebaratnam Chinmayee Dora Dhawaleswar Rao CH Electronics and Communication Engineering Centurion University of Technology and Management Paralakhemundi India Computer Science Engineering Centurion University of Technology and Management Paralakhemundi India

ISBN: (数字)9798331506452

ISBN: (纸本)9798331506469

The majority of people in India rely on farming as their primary source of income. Farmers encounter a variety of difficulties as a result of climate change. Decrease in yield is due to diseases on the plant. The quickest and easiest way must be used to identify the illness. Machine learning and image processing techniques are mostly used to automatically identify the diseases. In this article examined a method for diagnosing diseases in banana plants, structure, Pigment and surface. In this paper, a novel Henry Gas based Grab Cut (HGGC) algorithm by the integration of the Henry Gas Solubility Optimization algorithm (HGSO) and Grab Cut (GC) algorithm to detect the disease in the banana plant using multi spectral camera. Initially, the pre-processing is done by using a median filter for the removal of noises in the image. The segmentation is carried out using a region-based edge normalization after the images have been pre-processed using a median filter. Here, a new integrated system is developed for feature extraction combining Convolutional Neural Networks (CNN). In order to improve disease diagnostic accuracy, a region-based convolution neural network is utilized to detect the disease area by extracting and classifying information. Additionally, CNN is used to retrieve relevant attributes from the raw intake photographs so that the DL models can be trained. Consequently, the proposed approach is implemented in the PHYTHON framework. The efficiency of the developed HGGC is then demonstrated using tables and graphs by comparing the performance measures with existing methods. Accordingly, the proposed model achieved a better result by utilizing accuracy, sensitivity, specificity and false detection rate when compared to the existing methods.

关键词： Plant diseases Accuracy Signal processing algorithms filtering algorithms Feature extraction Cameras Convolutional neural networks Data mining Optimization Surface treatment

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A Decoupled Channel Estimation Method for Beyond Diagonal RIS

A Decoupled Channel Estimation Method for Beyond Diagonal RI...

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Asilomar Conference on Signals, Systems & Computers

作者： Bruno Sokal Fazal-E-Asim André L. F. de Almeida Hongyu Li Bruno Clerckx Federal University of Ceara Fortaleza Brazil Imperial College London London U.K.

ISBN: (数字)9798350354058

ISBN: (纸本)9798350354065

Beyond diagonal reconfigurable intelligent surface (BD- RIS) is a new architecture for RIS where elements are interconnected to provide more wave manipulation flexibility than traditional single-connected RIS, enhancing data rate and coverage. However, channel estimation for BD- RIS is challenging due to the more complex multiple-connection structure involving their scattering elements. To address this issue, this paper proposes a decoupled channel estimation method for BD- RIS that yields separate estimates of the involved channels to enhance the accuracy of the overall combined channel by capitalizing on its Kronecker structure. Starting from a least squares estimate of the combined channel and by properly reshaping the resulting filtered signal, the proposed algorithm resorts to a Khatri-Rao Factorization (KRF) method that teases out the individual channels based on simple rank-one matrix approximation steps. Numerical results show that the proposed decoupled channel estimation yields more accurate channel estimates than the classical least squares scheme.

关键词： Training Computers Accuracy Channel estimation Scattering Estimation Computer architecture Reconfigurable intelligent surfaces filtering algorithms Approximation algorithms

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Study of Quasi-Z-Source Three-Phase Four-Switch Matrix Converter Under Unbalanced Input

Study of Quasi-Z-Source Three-Phase Four-Switch Matrix Conve...

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IEEE Region 10 International Conference TENCON

作者： Yougui Guo Haowei Xiang College of Automation and Electronic Information Xiangtan University Xiangtan China

ISBN: (数字)9798350350821

ISBN: (纸本)9798350350838

Aiming at the control problem of a new topology of Quasi-Z source three-phase four-leg direct matrix converter (TFDMC), a new method is proposed to solve the problem under unbalanced input conditions. Based on the idea of direct current control on the grid side, the combined current predictive control of the grid side current and the output of the matrix converter is carried out, which simplifies the complicated algorithm of the traditional filter. Based on the principle of minimizing reactive power and controlling the fluctuation of active power, the phase sequence of the current on the grid side is separated, so as to carry out the model predictive control. This method not only improves the output current quality of the matrix converter, but also improves the current quality of the grid side. simulink simulation verifies its effectiveness.

关键词： Current control Reactive power Fluctuations Predictive models filtering algorithms Prediction algorithms Topology Matrix converters Predictive control IEEE Regions

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