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A Novel Beam-Domain Direction-of-Arrival Tracking Algorithm for an Underwater Target
Published 2024-10-01“…In this study, a DOA tracking algorithm based on a novel beam-domain signal processing technique is proposed to ensure robust DOA tracking of an interested underwater target under a low signal-to-noise ratio (SNR) environment. …”
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Shot boundary detection algorithm based on ORB
Published 2013-11-01“…The existing algorithms of SBD show low robustness when there exist camera or object movements, light changes in the scene. …”
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Low-Complexity Gaussian Detection for MIMO Systems
Published 2010-01-01“…Using factor graphs as a general framework and applying the Gaussian approximation, three low-complexity iterative detection algorithms are derived, and their performances are compared by means of Monte Carlo simulations. …”
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Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery
Published 2024-10-01“…The implementation of infrared cameras and drones has demonstrated encouraging outcomes, regardless of whether the detection was performed by human observers or automated algorithms. …”
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Direct localization algorithm of the aerial target based on external radiation source
Published 2023-06-01Get full text
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An efficient interpretable framework for unsupervised low, very low and extreme birth weight detection.
Published 2025-01-01“…This study presents an efficient and interpretable framework for unsupervised detection of low, very low, and extreme birth weights. …”
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Variational quantum algorithm for low-dimensional systems in the Pauli basis
Published 2024-12-01“…The results of testing the algorithm show that it can be effective for low-dimensional systems. …”
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EMB-YOLO: A Lightweight Object Detection Algorithm for Isolation Switch State Detection
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A Cascaded Defect Detection Algorithm for Track Components
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Low-complexity optimal MPSK detection for spatial modulation
Published 2015-08-01“…The low-complexity optimal SM detection algorithm for MQAM signal detection had been proposed,but no similar method was found for MPSK signal.The problem of low-complexity detection for MPSK signal was considered in SM systems.Utilizing 2-D vector quantization of ML demodulation and the property of MPSK constellation,a low-complexity optimal detection which is independent to modulation order was developed.Since the approach avoids the exhaustive searching on signal constellation space,the computational complexity can be significantly reduced.The proposed detection algorithm can provide the identical performance with ML-optimum detector and has lower computational complexity.Therefore,it has both theoretical and practical significance.The proposed algorithm is of great significance in the large antenna and green communication technology.…”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm
Published 2025-01-01“…To address these challenges, a novel Multi-Objective Modified Directional Bat Algorithm (MOMDBA) was proposed for the structural parameters identification. …”
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Low Complexity Direction and Doppler Frequency Estimation for Bistatic MIMO Radar in Spatial Colored Noise
Published 2014-01-01Get full text
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A High-Performance and Lightweight Maritime Target Detection Algorithm
Published 2025-03-01“…Hindered by many complex factors, the existing MSV target detection systems have low detection accuracy. These factors include target distance, potential occlusion from rain and fog, and limited computing power of edge devices. …”
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Posture detection of athletes in sports based on posture solving algorithms
Published 2024-12-01“…However, the current attitude solving algorithm has the limitation of low precision and low efficiency. …”
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Target Tracking Algorithm Based on Adaptive Scale Detection Learning
Published 2021-01-01“…In this paper, to better solve the problem of low tracking accuracy caused by the sudden change of target scale, we design and propose an adaptive scale mutation tracking algorithm using a deep learning network to detect the target first and then track it using the kernel correlation filtering method and verify the effectiveness of the model through experiments. …”
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Pig Detection Algorithm Based on Sliding Windows and PCA Convolution
Published 2019-01-01“…In order to solve the problems of low computational efficiency and low precision in pig detection algorithm based on sliding windows, this paper proposed a simple and efficient pig detection algorithm. …”
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