Articles with "wavelet" as a keyword



A frequency‐localized recursive partial least squares ensemble for soft sensing

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Published in 2018 at "Journal of Chemometrics"

DOI: 10.1002/cem.2999

Abstract: We report the use of a frequency‐localized adaptive soft sensor ensemble using the wavelet coefficients of the responses from the physical sensors. The proposed method is based on building recursive, partial least squares soft sensor… read more here.

Keywords: soft sensor; least squares; recursive partial; wavelet ... See more keywords

Optimizing air quality predictions: A discrete wavelet transform and long short‐term memory approach with wavelet‐type selection for hourly PM10 concentrations

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Published in 2024 at "Journal of Chemometrics"

DOI: 10.1002/cem.3539

Abstract: The rapid advancement of industrialization and urbanization has led to the global problem of air pollution. Air quality can decrease due to pollutants in the air, including types of gases and particles that are carcinogenic,… read more here.

Keywords: air; air pollution; wavelet; air quality ... See more keywords
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Identifying changing interspecific associations along gradients at multiple scales using wavelet correlation networks.

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Published in 2021 at "Ecology"

DOI: 10.1002/ecy.3360

Abstract: Identifying interspecific associations is very important for understanding the community assembly process. However, most methods provide only an average association and assume that the association strength does not vary along the environmental gradient or with… read more here.

Keywords: interspecific associations; wavelet correlation; along gradients; wavelet ... See more keywords

The wavelet scaling approach to forecasting: Verification on a large set of Noisy data

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Published in 2019 at "Journal of Forecasting"

DOI: 10.1002/for.2634

Abstract: In the paper, we undertake a detailed empirical verification of wavelet scaling as a forecasting method through its application to a large set of noisy data. The method consists of two steps. In the first,… read more here.

Keywords: set noisy; noisy data; wavelet scaling; large set ... See more keywords

Fusion of noisy images based on joint distribution model in dual‐tree complex wavelet domain

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Published in 2019 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.22292

Abstract: Source images are frequently corrupted by noise before fusion, which will lead to the quality decline of fused image and the inconvenience for subsequent observation. However, at present, most of the traditional medical image fusion… read more here.

Keywords: wavelet; joint distribution; model; fusion ... See more keywords
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Early detection of breast malignancy using wavelet features and optimized classifier

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Published in 2021 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.22537

Abstract: Breast cancer considered to be a significant health issue among women. Early detection will ensure the treatment is easier and more successful. Recently, numerous methodologies have developed using medical imaging to investigate breast cancer. This… read more here.

Keywords: breast; early detection; breast malignancy; detection breast ... See more keywords

LPNet: A lightweight CNN with discrete wavelet pooling strategies for colon polyps classification

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Published in 2022 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.22825

Abstract: The traditional process of disease diagnosis from medical images follows a manual process, which is tedious and arduous. A computer‐aided diagnosis (CADs) system can work as an assistive tool to improve the diagnosis process. In… read more here.

Keywords: wavelet; lpnet; pooling strategies; discrete wavelet ... See more keywords

Adaptive tuning piecewise cubic Hermite interpolation with Wiener filter in wavelet domain for scanning electron microscope images

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Published in 2019 at "Microscopy Research and Technique"

DOI: 10.1002/jemt.23181

Abstract: Image processing is introduced to remove or reduce the noise and unwanted signal that deteriorate the quality of an image. Here, a single level two‐dimensional wavelet transform is applied to the image in order to… read more here.

Keywords: wiener filter; wavelet; image; adaptive tuning ... See more keywords

An analysis of best wavelet approximation problem of a function using Hermite wavelet

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Published in 2024 at "Mathematical Methods in the Applied Sciences"

DOI: 10.1002/mma.10120

Abstract: In this paper, we introduce two novel wavelet approximations tailored for functions g$$ g $$ exhibiting a restricted second derivative and a bounded Tth$$ {T}^{th} $$ derivative. Employing the Hermite wavelet method, we derive these… read more here.

Keywords: best wavelet; function; hermite wavelet; wavelet approximation ... See more keywords

Ultradistributional Wavelet Convolutors

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Published in 2025 at "Mathematical Methods in the Applied Sciences"

DOI: 10.1002/mma.10897

Abstract: In this paper, we explore wavelet convolutors in the ultradistribution space Mω$$ {\mathcal{M}}_{\omega } $$ . We examine wavelet convolutors by applying an appropriate topological isomorphism to these spaces via the wavelet transform. Additionally, we… read more here.

Keywords: ultradistributional wavelet; wavelet convolutors; wavelet;

WAND: Wavelet Analysis‐Based Neural Decomposition of MRS Signals for Artifact Removal

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Published in 2024 at "Nmr in Biomedicine"

DOI: 10.1002/nbm.70038

Abstract: Accurate quantification of metabolites in magnetic resonance spectroscopy (MRS) is challenged by low signal‐to‐noise ratio (SNR), overlapping metabolites, and various artifacts. Particularly, unknown and unparameterized baseline effects obscure the quantification of low‐concentration metabolites, limiting MRS… read more here.

Keywords: analysis based; wavelet analysis; wavelet; decomposition ... See more keywords