Results 51 to 60 of about 15,236 (179)

Performance Evaluation of Discrete Wavelet Transform and Machine Learning Based Techniques for Classifying Power Quality Disturbances

IEEE Access
This paper evaluates the performance of six different machine learning (ML) algorithms for classifying power quality disturbances (PQDs), with statistical features extracted using discrete wavelet transform (DWT) as feature input.
Uvesh Sipai, Rajendrasinh Jadeja, Nishant Kothari, Tapankumar Trivedi, Rajesh Mahadeva, Shashikant P. Patole   +5 more
doaj   +1 more source

Lung Lesion Segmentation Using Gaussian Filter and Discrete Wavelet Transform

ITM Web of Conferences, 2017
Lung cancer is the growth of a tumour, referred to as a nodule that arises from cells covering the airways of the respiratory arrangement. Effective detection of lung cancer at premature stages enables any cure options, and reduce risk of insidious ...
Dimililer Kamil, Hesri Ali, Ever Yoney Kirsal   +2 more
doaj   +1 more source

A well-balanced adaptive Haar wavelet finite volume scheme for 1D free surface water flows

Ain Shams Engineering Journal, 2019
This paper studies a Haar-wavelet based finite volume method in terms of its capability of preserving a well-balanced property compared to the classical finite volume method, as well as with its application on the real case of the shallow water flow ...
Dilshad A. Haleem
doaj   +1 more source

Wavelet Multiresolution Analysis of High-Frequency FX Rates, Summer 1997 [PDF]

FX pricing processes are nonstationary and their frequency characteristics are time-dependent. Most do not conform to geometric Brownian motion, since they exhibit a scaling law with a Hurst exponent between zero and 0.5 and fractal dimensions between 1 ...
Cornelis A. Los, Jeyanthi Karuppiah
core  

Haar-LikeWavelets over Tetrahedra

Journal of Computer Science and Technology, 2017
In this paper we define a Haar-like wavelets basis that form a basis for L2(T,S,μ), μ being the Lebesgue measure and S the σ -algebra of all tetrahedra generated from a subdivision method of the T tetrahedron.
Liliana Beatriz Boscardín, Liliana Raquel Castro, Silvia Mabel Castro   +2 more
doaj   +1 more source

WAVELET-BASED COMPUTATIONAL FRAMEWORK FOR THE SOLOW-SWAN ECONOMIC MODEL

Barekeng
In this paper, we introduce an innovative numerical technique for addressing the classical Solow-Swan economic growth model through the application of the Haar wavelet approach.
Jay Kishore Sahani, Pankaj Sharma, Nikhil Khanna, Ajay Kumar   +3 more
doaj   +1 more source

Haar wavelets method for solving class of coupled systems of linear fractional Fredholm integro-differential equations. [PDF]

Heliyon, 2023
Darweesh A, Al-Khaled K, Al-Yaqeen OA.
europepmc   +1 more source

Quantum Sensing of Fast Time-Varying Magnetic Field With Daubechies Wavelets

IEEE Access
The waveform of the time-varying magnetic field can be reconstructed by combining the use of quantum sensing technology and orthogonal functions, such as Walsh and Haar wavelet functions, as the control sequences of qubits.
Chou-Wei Kiang, Jian-Jiun Ding, Jean-Fu Kiang   +2 more
doaj   +1 more source

Adaptive Ghost Imaging Based on 2D-Haar Wavelets

Photonics
To improve the imaging speed of ghost imaging and ensure the accuracy of the images, an adaptive ghost imaging scheme based on 2D-Haar wavelets has been proposed.
Zhuo Yu, Xiaoqian Wang, Chao Gao, Huan Zhao, Hong Wang, Zhihai Yao   +5 more
doaj   +1 more source

Joint Kalman–Haar Algorithm Applied to Signal Processing

Revista de Matemática: Teoría y Aplicaciones, 2012
Under the analysis of signals disturbed by noise, in this paper we propose a working methodology aimed to seize the best estimate of combining Kalman filtering with the characterization that is achieved by applying a multiresolution analysis (MRA) using ...
Alejandro Viegener, Ricardo O. Sirne, Ricardo O. Sirne, Eduardo P. Serrano, Eduardo P. Serrano, Marcela Fabio, Marcela Fabio, Carlos E. D'Attellis, Carlos E. D'Attellis   +8 more
doaj   +1 more source