Demonstrates signal approximation in separable Hilbert spaces using woven frames, suggesting a new iterative method for better results.
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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Jamali et al. (2025) studied this question.
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