Reduced Cycle Spinning Method for the Undecimated Wavelet Transform

Rodríguez-Hernández, Miguel A.

doi:10.3390/s19122777

Cited by 2 publications

(2 citation statements)

References 30 publications

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“…However, the traditional wavelet transform-based noise reduction method suffers from the problems that the noise reduction effect depends on the mother wavelet and the difficulty of high-dimensional noise reduction, which makes it difficult to gain more advantages in the competition with BM3D, state-of-art, dictionary learning and other denoising algorithms. In light of this, lifting wavelet transform, 42 improved undecimated wavelet transform, 43 biorthogonal wavelet transform, 44 and other noise reduction improvement algorithms 45 – 49 based on wavelet transform have also been developed rapidly.…”

Section: Optimal Background Clutter Suppression Scheme Designmentioning

confidence: 99%

Scheme design of the optimal background clutter suppression for impulse radio ultrawide band radar in complex fire environment: a simulation and experimental study

Wang

Weng

et al. 2023

J. Appl. Rem. Sens.

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.Impulse radio ultrawide band (IR-UWB) radar possesses several advantages, such as heat flow insensitivity, high resolution, great penetration, good mobility, and lightweight, making it a promising technology for detecting and rescuing individuals trapped in fire scenarios. However, reliable detection and extraction of vital signs of trapped people in the presence of complex fire environment, such as water droplets, smoke, wall occlusions, and reflections, require an optimal background clutter suppression scheme designed specifically for fire scenarios. This study comprehensively evaluates 20 background noise suppression schemes using an exhaustive approach that involves constructing radar echo simulation signals and designing an evaluation method for algorithms. The practical applicability of the improved design solutions was evaluated by conducting small-scale fire experiments in an acrylic chamber. The results indicate that the designed scheme is effective in overcoming the background interference from the combustion environment and is capable of supporting subsequent trajectory identification and vital sign extraction in the fire scene environment.

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Section: Optimal Background Clutter Suppression Scheme Designmentioning

confidence: 99%

Scheme design of the optimal background clutter suppression for impulse radio ultrawide band radar in complex fire environment: a simulation and experimental study

Wang

Weng

et al. 2023

J. Appl. Rem. Sens.

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“…Wavelet transform is a new transform analysis method. It inherits and develops the idea of localization of short-time Fourier transform and at the same time overcomes the shortcomings of window size that does not change with frequency and can provide a “time–frequency” window that changes with frequency; it is an ideal tool for signal time–frequency analysis and processing [ 21 , 22 , 23 ]. The Hilbert–Huang transform method mainly consists of two parts: empirical mode decomposition and Hilbert spectral analysis.…”

Section: Introductionmentioning

confidence: 99%

Multilevel Fine Fault Diagnosis Method for Motors Based on Feature Extraction of Fractional Fourier Transform

Wen

2022

Sensors

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Motors are the main driving power for equipment operation, and they are also a major factor to promote the development of the motor and the load it drives and its motor control system toward a low-carbon future, reduce carbon emissions, and improve the industrial economy and social economic efficiency. Due to high-speed, long-period, and heavy-load operation, various faults occur; since the existing integer-order Fourier transform methods have not enough able to detect fractional-order faults and lack robustness, it is difficult to realize the fine diagnosis of motor faults, which reduces the safety and reliability of the motor control system. For this reason, on the basis of the powerful extraction ability of the fractional Fourier transform (FRFT) for micro fault features, especially the extraction ability to fit fractional frequency domain faults, this paper intends to establish a multilevel fine fault diagnosis method for fractional-order or integer-order faults. Firstly, this is accomplished by performing the fractional Fourier transform on the acquired data with faults and feature extraction in the multilevel fractional frequency domain and then optimizing the feature extraction model. Secondly, one further step search method is established to determine the projection direction with the largest fault feature. Thirdly, taking the extracted multilevel fault features as input, a multilevel fine fault diagnosis method based on the SVM model is established. Finally, three typical digital simulation examples and actual operating data collected by the ZHS-2 multifunctional motor test bench with a flexible rotor are employed to verify the effectiveness, robustness, and accuracy of this new method. The main contribution and innovation of this paper are that the fractional Fourier transform method based on time domain and frequency domains is introduced. This method can extract the small fault features in the maximum projection direction of the signal in the fractional domain, but detection with other time–frequency methods is difficult; the extracted multilevel fault features are used as input, and the corresponding fault diagnosis model is established, which can improve the accuracy of fault detection and ensure the safe and reliable operation of industrial equipment.

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Reduced Cycle Spinning Method for the Undecimated Wavelet Transform

Cited by 2 publications

References 30 publications

Scheme design of the optimal background clutter suppression for impulse radio ultrawide band radar in complex fire environment: a simulation and experimental study

Scheme design of the optimal background clutter suppression for impulse radio ultrawide band radar in complex fire environment: a simulation and experimental study

Multilevel Fine Fault Diagnosis Method for Motors Based on Feature Extraction of Fractional Fourier Transform

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