Table of Contents
Fetching ...

Characterization and computation of canonical tight windows for Gabor frames

A. J. E. M Janssen, Thomas Strohmer

TL;DR

The paper addresses finding a canonical tight Gabor frame window that remains as close as possible to a given window. It proves, using time, frequency, time-frequency, and Zak-transform representations plus functional calculus, that the canonical tight window $h^{0}=S^{-1/2} g$ minimizes the distance to $g$ within the class of normalized tight frames; it also extends these ideas to a Wiener-Levy framework for rational oversampling. A practical Newton-type method is developed to compute $h^{0}$ efficiently, with quadratic convergence and guidance on optimal scaling, supported by convergence analysis and numerical experiments. The work provides a unified, domain-spanning treatment of tight Gabor frames and delivers a robust algorithm for tight-frame design that preserves the original window's characteristics, with implications for signal processing and communications under oversampling.

Abstract

Let $(g_{nm})_{n,m\in Z}$ be a Gabor frame for $L_2(R)$ for given window $g$. We show that the window $h^0=S^{-1/2} g$ that generates the canonically associated tight Gabor frame minimizes $\|g-h\|$ among all windows $h$ generating a normalized tight Gabor frame. We present and prove versions of this result in the time domain, the frequency domain, the time-frequency domain, and the Zak transform domain, where in each domain the canonical $h^0$ is expressed using functional calculus for Gabor frame operators. Furthermore, we derive a Wiener-Levy type theorem for rationally oversampled Gabor frames. Finally, a Newton-type method for a fast numerical calculation of $\ho$ is presented. We analyze the convergence behavior of this method and demonstrate the efficiency of the proposed algorithm by some numerical examples.

Characterization and computation of canonical tight windows for Gabor frames

TL;DR

The paper addresses finding a canonical tight Gabor frame window that remains as close as possible to a given window. It proves, using time, frequency, time-frequency, and Zak-transform representations plus functional calculus, that the canonical tight window minimizes the distance to within the class of normalized tight frames; it also extends these ideas to a Wiener-Levy framework for rational oversampling. A practical Newton-type method is developed to compute efficiently, with quadratic convergence and guidance on optimal scaling, supported by convergence analysis and numerical experiments. The work provides a unified, domain-spanning treatment of tight Gabor frames and delivers a robust algorithm for tight-frame design that preserves the original window's characteristics, with implications for signal processing and communications under oversampling.

Abstract

Let be a Gabor frame for for given window . We show that the window that generates the canonically associated tight Gabor frame minimizes among all windows generating a normalized tight Gabor frame. We present and prove versions of this result in the time domain, the frequency domain, the time-frequency domain, and the Zak transform domain, where in each domain the canonical is expressed using functional calculus for Gabor frame operators. Furthermore, we derive a Wiener-Levy type theorem for rationally oversampled Gabor frames. Finally, a Newton-type method for a fast numerical calculation of is presented. We analyze the convergence behavior of this method and demonstrate the efficiency of the proposed algorithm by some numerical examples.
Paper Structure (12 sections, 8 theorems, 150 equations, 3 figures)

This paper contains 12 sections, 8 theorems, 150 equations, 3 figures.

Key Result

Lemma 1.1

Let $T=(T_{kl})_{k,l \in {\mathbb Z}}$ be a hermitian positive definite biinfinite matrix with $c_1 I \le T \le c_2 I$ . Define $T_N = (T_{kl})_{|k|,|l| \le N}.$ Then $T_N^{-\frac{1}{2}} \rightarrow T^{-\frac{1}{2}}$ strongly for $N \rightarrow \infty$.

Figures (3)

  • Figure 1:
  • Figure 2: Comparison of different scalings for Newton's method.
  • Figure 3: Comparison of different methods to compute the tight window ${h^{0}}$.

Theorems & Definitions (13)

  • Lemma 1.1
  • proof
  • Theorem 2.1
  • Proposition 3.1
  • Theorem 3.2
  • Definition 3.3
  • Proposition 3.4
  • proof
  • Lemma 4.1
  • proof
  • ...and 3 more