On Wavelet Approximation of Functions Belonging to Generalized Lipschitz Class Using Haar Scaling Function

The degree of approximation of functions belonging to certain classes by using wavelet techniques is quite interesting in the present scenario. People working in this direction have used the Haar wavelet method in their investigations. But no work seems to have been done so far to find an approximation of functions π‘“πœ–πΏπ‘–π‘π›Όπ‘,πœ“ to find the degree of approximation using the Haar wavelet method. Therefore, in this paper, two new theorems on wavelet approximation of the functions, 𝑝𝛼𝑝,πœ“ , 0<𝛼≀1,1≀𝑝<∞, have been established.

Publication Details

Journal
International Journal of Mathematics Trends and Technology
Published
2025-08-30
DOI
https://doi.org/10.14445/22315373/ijmtt-v71i8p101
Primary Topic
Image and Signal Denoising Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

On Wavelet Approximation of Functions Belonging to Generalized Lipschitz Class Using Haar Scaling Function

International Journal of Mathematics Trends and Technology
Image and Signal Denoising Methods
article

On Wavelet Approximation of Functions Belonging to Generalized Lipschitz Class Using Haar Scaling Function

article en

Abstract

The degree of approximation of functions belonging to certain classes by using wavelet techniques is quite interesting in the present scenario. People working in this direction have used the Haar wavelet method in their investigations. But no work seems to have been done so far to find an approximation of functions π‘“πœ–πΏπ‘–π‘π›Όπ‘,πœ“ to find the degree of approximation using the Haar wavelet method. Therefore, in this paper, two new theorems on wavelet approximation of the functions, 𝑝𝛼𝑝,πœ“ , 0<𝛼≀1,1≀𝑝<∞, have been established.

International Journal of Mathematics Trends and TechnologyVol. 71(8)
Banaras Hindu University
Openalex Percentile: Top 75%
Image and Signal Denoising Methods
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