A New Formula for the Inverse Wavelet Transform
Wenchang Sun
TL;DR
This paper introduces a new, efficient algorithm for the inverse continuous wavelet transform, demonstrating its convergence to improve computational performance in practical applications.
Contribution
It presents a novel formula for the inverse wavelet transform and proves its convergence, advancing the computational methods in wavelet analysis.
Findings
Proves convergence of the new inverse wavelet transform formula
Offers a computationally efficient algorithm for practical use
Enhances the accuracy of wavelet-based signal reconstruction
Abstract
Finding a computationally efficient algorithm for the inverse continuous wavelet transform is a fundamental topic in applications. In this paper, we show the convergence of the inverse wavelet transform.
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Taxonomy
TopicsImage and Signal Denoising Methods · Advanced Algorithms and Applications · Neural Networks and Applications