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The app utilizes wavelets and Kruskal's algorithm to detect potholes and then sends a message along with a location to a centralized database.12.12
To reduce image acquisition time, a very recent work [ 14] utilizes wavelets for denoising a sequence of repeated SDOCT B-scans captured from a unique position.
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Moreover, [49] utilizes wavelet transform for islanding detection and improving islanding delay.
It utilizes wavelet transform to identify natural frequencies and the corresponding mode shapes from the transient response of the system under ambient vibration condition.
We utilized wavelets to extract signal features and in the time-frequency representations to optimize the feature extraction procedure.
Utilizing wavelet transform, in this paper an intelligent and optimum method is presented for islanding detection.
Malar et al. [17] utilized wavelet-based texture features and the extreme learning machine (ELM) for microcalcification detection and classification.
In this article, new feature extraction methods, which utilize wavelet decomposition and reduced order linear predictive coding (LPC) coefficients, have been proposed for speech recognition.
In the method developed by Duun-Henriksen et al. [12], after channel selection, a feature extraction process utilizing wavelet transform is performed on the selected channels.
The algorithm is based on optimizing the ratio of Kurtosis and Shannon entropy to obtain the optimal band pass filter utilizing wavelet packet transform (WPT) and envelope detection.
Lu et al. [35] considered the limitation of PCA for differentiating faults with similar time-varying characteristics and utilized wavelet analysis to extend the feature extracting ability into time-frequency domain.
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