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February 25, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

Approximation by Woven Frames

HJHassan JamaliRPReza Pourkani

Key Points

  • The aim is to develop an iterative method for approximating signals using woven frames in separable Hilbert spaces.
  • Defined a recursive sequence to approximate the signal
  • Analyzed convergence to minimize specific functionals
  • Conducted numerical experiments using MATLAB
  • The iterative method converges to a signal that minimizes the functional
  • Performance improves with larger condition numbers of the weaving frame
  • Numerical experiments demonstrate effectiveness on a standard processor setup

Abstract

This paper focuses on the approximation by woven frames in separable Hilbert spaces. We present an iterative method to approximate a signal f based on a given weaving frame, by defining a recursive sequence that converges to the signal f. We show that this method converges to a signal that minimizes a specific functional involving the frame coefficients of the given weaving frame. The importance of this method is better understood when the weaving frame used has a large condition number, and the classical frame algorithm is unusable. It is necessary to point out that all numerical experiments in this paper were performed on a 64-bit 2. 4 GHz Core i5 processor and 4. 00 GB RAM using MATLAB version R2010a.

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Cite This Study

Jamali et al. (2025) studied this question.

synapsesocial.com/papers/699e919cf5123be5ed04f39fhttps://doi.org/10.22130/scma.2025.2056750.2127
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