Results 11 to 20 of about 870,231 (290)
FootSLAM meets Adaptive Thresholding [PDF]
IEEE Sensors Journal, 2020 Calibration of the zero-velocity detection threshold is an essential prerequisite for zero-velocity-aided inertial navigation. However, the literature is lacking a self-contained calibration method, suitable for large-scale use in unprepared environments without map information or pre-deployed infrastructure.
Wahlstrom, J, Markham, A, Trigoni, N
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Single-Stage Adaptive Multi-Scale Point Cloud Noise Filtering Algorithm Based on Feature Information
Remote Sensing, 2022 This paper proposes a single-stage adaptive multi-scale noise filtering algorithm for point clouds, based on feature information, which aims to mitigate the fact that the current laser point cloud noise filtering algorithm has difficulty quickly ...
Zhen Zheng +5 more
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An Adaptive Autogram Approach Based on a CFAR Detector for Incipient Cavitation Detection
Sensors, 2020 Cavitation failure often occurs in centrifugal pumps, resulting in severe harm to their performance and life-span. Nowadays, it has become crucial to detect incipient cavitation ahead of cavitation failure.
Ning Chu +6 more
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Energies, 2023 Gearbox fault deterioration can significantly impact the safety, reliability, and efficiency of wind turbines, resulting in substantial economic losses for wind farms.
Junshuai Yan +3 more
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Adaptive thresholding by variational method [PDF]
IEEE Transactions on Image Processing, 1998 When using thresholding method to segment an image, a fixed threshold is not suitable if the background is uneven. Here, we propose a new adaptive thresholding method using variational theory. The method requires only one parameter to be selected and the adaptive threshold surface can be found automatically from the original image.
Chan, FHY, Lam, FK, Zhu, H
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Anomaly Detection of Wind Turbines Based on Deep Small-World Neural Network
发电技术, 2021 Accurate and efficient condition monitoring is the key to enhance the reliability and security of wind turbines. In recent years, the intelligent anomaly detection method based on deep neural networks (DNN) has been receiving increasing attention.
Yaguang LI, Meng LI
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An Adaptive Method for Gait Event Detection of Gait Rehabilitation Robots
Frontiers in Neurorobotics, 2020 Accurate gait event detection is necessary for control strategies of gait rehabilitation robots. However, due to personal diversity between individuals, it is a challenge for robots to detect a gait event at various stride frequencies.
Jing Ye +14 more
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VLSI Implementation of QRS Complex Detector Based on Wavelet Decomposition
IEEE Access, 2022 This paper presents a very large–scale integration chip for a novel discrete wavelet transform (DWT) based QRS complex detection algorithm. In many aspects of electrocardiogram (ECG) analyses, QRS complex detection is the first step.
Yuan-Ho Chen +5 more
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Adaptive spatial mode of space-time and spacefrequency OFDM system over fading channels [PDF]
, 2006 In this paper we present a 2 transmit 1 receive (1 Tx : 1 Rx) adaptive spatial mode (ASM) of space-time (ST) and space-frequency (SF) orthogonal frequency division multiplexing (OFDM). At low signal to noise ratio (SNR) we employ ST-OFDM and switch to
A. Rahman, Tharek +4 more
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Adaptive R-Peak Detection Algorithm Based on Brown Exponential Smoothing Model
IEEE Access, 2022 ECG is one of the most effective medical tests for heart disease diagnosis, and R-peak detection is the first step in ECG interpretation. For wearable ECG signals, the difficulty of R-peak detection mainly lies in the interference of dynamic strong noise,
Zihao Hao, Xiaoming Zhang, Zhengxi Lai
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