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Effect of Background Subtraction on Defect Detection in Thermographic Signal Reconstruction Coefficient Images
When halogen lamps are used as the excitation source in long pulse thermography (LPT) of composite materials, the non-uniform surface temperature...
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Signal transmission and energy consumption in excitatory–inhibitory cortical neuronal network
Stochastic resonance and energy consumption are significant for information processing and transmission in the neural system. In this paper, we...
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Cascaded GLRT Radar/Infrared Lidar Information Fusion Algorithm for Weak Target Detection
To deal with the problem of weak target detection, a cascaded generalized likelihood ratio test (GLRT) radar/infrared lidar heterogeneous information...
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Variable scale-convex-peak method for weak signal detection
A variable scale-convex-peak method is constructed to identify the frequency of weak harmonic signal. The key of this method is to find a set of...
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Acoustic fault signal extraction via the line-defect phononic crystals
Rotating machine fault signal extraction becomes increasingly important in practical engineering applications. However, fault signals with low...
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Application of chaotic information entropy for ultrasonic guided wave detection in pipe
In this paper, a quantitative detection method of the weak ultrasonic guided wave (UGW) signal based on information entropy of the Duffing chaotic...
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Observing Weak Signal in Diffuse, Partially Coherent and Coherent Acoustic Noise
The main objective of this chapter is to present new information criteria that expose a moving underwater source based on experimental investigations...
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Algorithm for Simplifying Procedures for Digital Measurement of Signal Parameters and Reducing Signal Errors
In the article, the determination of the number of digital measurements of integral parameters of signals and the error that occurs during the...
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Modeling, simulation and experimental exploration of metal magnetic memory under weak magnetic excitation
This study proposes to use the improved Jiles–Atherton (J–A) magneto-mechanical effect model combined with simulation analysis to detect the damage...
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Extracting weak multi-frequency signal in heavy colored noise
The extraction of weak multi-frequency signal in the background of heavy colored noise is studied. For the multi-frequency signal which cannot be...
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Study on the Noise Analysis of Weak Photoelectric Signal Detection in the Marine Environment
Due to the complexity and variability of the marine environment, the weak useful signals of the measured marine optical instruments often have strong...
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Study of Superconducting Transmission Lines and Tunnel Junctions for Signal Detection at Frequencies above 1 THz
AbstractSuperconducting integrated circuits based on NbTiN/Al transmission lines at frequencies of up to 1.1 THz have been developed and...
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Inter-turn short-circuit fault detection with high-frequency signal injection for inverter-fed PMSM systems
This paper develops an online inter-turn short-circuit fault (ISF) detection method for inverter-fed permanent magnet synchronous machine (PMSM)...
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Correlation network from multivariate time series: a new method for characterizing nonlinear dynamic behavior in marine acoustic signal
Marine acoustic signal detection is significant as it constitutes potential real-time monitoring of severe underwater threats. There is still a lack...
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Weak fault feature extraction of rolling bearing under strong poisson noise and variable speed conditions
Fault feature extraction of the rolling bearing under strong background noise is always a difficult problem in bearing fault diagnosis. At present,...
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Feature Extraction and Classification of EEG Signal Using Multilayer Perceptron
Electroencephalography (EEG) is a typical tool utilized for the discovery of epileptic seizures. Notwithstanding, long-term EEG, visual investigation...
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Fault Detection
The issue of fault detection for complex stochastic delayed systems in the presence of positivity constraint and semi-Markov jump parameters is...
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Study on the Detection of Vertigo Induced by GVS Based on EEG Signal Feature Binary Classification
Objective: Galvanic Vestibular Stimulation (GVS) is a common method to induce reversible vertigo for the purpose of scientific or clinic study....
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Bearing faults classification using a new approach of signal processing combined with machine learning algorithms
Vibration analysis plays a crucial role in fault and abnormality diagnosis in various mechanical systems. However, efficient vibration signal...
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Reconstruction for Sparse Signal Based on Bidirectional Sparsity Adaptive and Weak Selection of Atoms Matching Pursuit
Under the framework of compressed sensing theory, the greedy algorithm achieves good reconstruction performance with known signal sparsity. However,...
