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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In this study it is shown that the orthogonal wavelet functions will be able to got for the space sequence which gives the multiresolution spesifications in the weighted spaces for exponantial kind weighted function.
📌 3 Key Takeaways
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Objective & Hypothesis:In this study it is shown that the orthogonal wavelet functions will be able to got for the space sequence which gives the multiresolution spesifications in the weighted spaces for exponantial kind weighted function.
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Key Findings & Data:In this study it is shown that the orthogonal wavelet functions will be able to got for the space sequence which gives the multiresolution spesifications in the weighted spaces for exponantial kind weighted function.
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Conclusion & Impact:In this study it is shown that the orthogonal wavelet functions will be able to got for the space sequence which gives the multiresolution spesifications in the weighted spaces for exponantial kind weighted function.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this study it is shown that the orthogonal wavelet functions will be able to got for the space sequence which gives the multiresolution spesifications in the weighted spaces for exponantial kind weighted function.
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Cite This Article
SHAKHMUROV, V., DEMİR, H. (2022). Weighted multiresolution spaces and weighted wavelets. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 2 - Sayı: 2, 541–545. https://ajindex.com/articles/543955