In the thesis, attention is focussed on theory and application of the multi-scaletransform and the wavelet transform. Most attention will be given to the analysis of well logs. A well log is a sequence of measurements that is obtained from a bore hole. The well logs are a record of the...
The basic goal of this research was to study the role that wavelet theory canplay in information representation and extraction. The researchers focused their attention primarily on surveillance applications. As part of their research, they studied two problems that arise in surveillance. The first prob...
Ship detection with polarimetric synthetic aperture radar (PolSAR) has gained extensive attention due to its widespread application in maritime surveillanc... L Han - 《Sensors》 被引量: 0发表: 2021年 Combination of wavelet transform and singular value decomposition-based contrast enhancement technique...
The input image is initially pre-processed using Wavelet Structure using Self-guidance (WSSG) and Low light image (LLI) techniques for eliminating noise and enhance the quality of a raw image. Then, the image is seperated by SwinE-Net technique. Finally classification is done by using Transfer...
Wavelets for Contrast Enhancement of Digital Mammography Multiresolution representations provided an adaptive mechanism for the local emphasis of features of importance to mammography. In general, improvements in... Laine, A,F Jian - 《IEEE Engineering in Medicine & Biology Magazine》 被引量: 517发表...
For compact dyadic wavelets, binary scaling and dyadic translation of the mother wavelet form the basis functions. A dyadic translation is a shift by the amount n/2m that is an integer multiple of the binary scale factor and of the width of the wavelet as well. The discrete WT (DWT) is...
“Big Data” which is time-consuming to be analyzed by medical experts. This paper provides an insight into the Big Data from the aspect of its role in multiscale modelling. Special attention is paid to the workflow, starting from medical image processing all the way to creation of ...
Babu CN, Reddy BE (2014) Arima-based and multiapplication workload prediction with wavelet decomposition and savitzky–golay filter in clouds. Appl Soft Comput 23:27–38 Article MATH Google Scholar Smyl S (2020) A hybrid method of exponential smoothing and recurrent neural networks for time ser...
Wind energy has garnered significant attention due to its environmental benefits, widespread availability, substantial reserves, and other advantageous features [1]. The non-stationary and non-linear nature of wind speed can lead to fluctuations in power output, potentially affecting the stability of ...
studied the method of feature extraction using stationary wavelet packet transform, and support vector machine (SVM) is applied to rotor fault classification. [4]; Mustafa et al. proposed that the spectrum analysis method be used in feature extraction and SVM be used to detect mechanical faults....