# Design of a Simple Orthogonal Multiwavelet Filter by Matrix Spectral Factorization

arXiv: https://arxiv.org/abs/1910.07133 · HTML: https://mlsanity.com/paper/1910.07133/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Oct 2019.

## Built on by (most cited first, 2 of 2)

- [Multiwavelet-based Operator Learning for Differential Equations](https://mlsanity.com/paper/2109.13459/) (2021)
- [Bauer's Spectral Factorization Method for Low Order Multiwavelet Filter Design](https://mlsanity.com/paper/2312.05418/) (2023)

## Abstract (arXiv)

We consider the design of an orthogonal symmetric/antisymmetric multiwavelet from its matrix product filter by matrix spectral factorization (MSF). As a test problem, we construct a simple matrix product filter with desirable properties, and factor it using Bauer's method, which in this case can be done in closed form. The corresponding orthogonal multiwavelet function is derived using algebraic techniques which allow symmetry to be considered. This leads to the known orthogonal multiwavelet SA1, which can also be derived directly. We also give a lifting scheme for SA1, investigate the influence of the number of significant digits in the calculations, and show some numerical experiments.