Abstract
We investigate the problem of constructing sparse time–frequency representations with flexible frequency resolution, studying the theory of nonstationary Gabor frames (NSGFs) in the framework of decomposition spaces. Given a painless NSGF, we construct a compatible decomposition space and prove that the NSGF forms a Banach frame for the decomposition space. Furthermore, we show that the decomposition space norm can be completely characterized by a sparseness condition on the frame coefficients and we prove an upper bound on the approximation error occurring when thresholding the frame coefficients for signals belonging to the decomposition space.
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Acknowledgements
We thank the two anonymous reviewers for their constructive comments on the original manuscript. Their valuable suggestions have helped improve the manuscript considerably. Supported by the Danish Council for Independent Research | Natural Sciences, Grant 12-124675, “Mathematical and Statistical Analysis of Spatial Data”.
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Communicated by Thomas Strohmer.
Appendix: Proof of Theorem 2.1
Appendix: Proof of Theorem 2.1
Proof
To simplify notation we let \(D^s_{p,q}:=D(\mathcal {Q},\,L^p,\,\ell ^q_{\omega ^s}).\) Let us first prove Theorem 2.1(1). Allowing the extension \(q=\infty ,\) and repeating the arguments from the proof of [4, Proposition 5.7], we can show that
for any \(s\in \mathbb {R}\) and \(0<p<\infty \) using Definition 2.2(4). It therefore suffice to show that \(\mathcal {S}(\mathbb {R}^d)\hookrightarrow D^s_{p,\infty } \hookrightarrow \mathcal {S}^{\prime }(\mathbb {R}^d)\) for any \(s\in \mathbb {R}\) and \(0<p<\infty .\) For \(N\in \mathbb {N},\) we define semi-norms on \(\mathcal {S}(\mathbb {R}^d)\) by
with \(u(\xi )=1+\Vert \xi \Vert _2\) as usual. Following the approach in [4, p. 149], and applying Proposition 2.1(4), we get
for sufficiently large N and \(N^{\prime }.\) This proves that \(\mathcal {S}(\mathbb {R}^d)\hookrightarrow D^s_{p,\infty }\) and \(\mathcal {S}(\mathbb {R}^d)\hookrightarrow D^s_{1,1}.\) To show that \(D^s_{p,\infty } \hookrightarrow \mathcal {S}^{\prime }(\mathbb {R}^d)\) we need to take a different approach than in [4]. Setting \(\widetilde{\psi }_T:=\sum _{T^{\prime }\in \widetilde{T}}\psi _{T^{\prime }},\) we first note that for \(f\in D^s_{p,\infty }\) and \(\varphi \in \mathcal {S}(\mathbb {R}^d),\)
Using Lemma 8.1 below (with \(g=\mathcal {F}^{-1}\{\psi _T\hat{f}(T\xi )\}\)) we thus get
since \(|T|=|Q|^{-1}|Q_T|\le |Q|^{-1}\omega _T^\gamma \) according to Definition 2.2(5). Applying (2.2) we may continue on (7.3) and write
for sufficiently large N since \(\mathcal {S}(\mathbb {R}^d)\hookrightarrow D^s_{1,1}.\) We conclude that \(D^s_{p,\infty }\hookrightarrow \mathcal {S}^{\prime }(\mathbb {R}^d)\) which proves Theorem 2.1(1).
The proof of Theorem 2.1(2) follows directly from Theorem 2.1(1) and the arguments in [4, p. 150].
To prove Theorem 2.1(3) we let \(f\in D^s_{p,q}\) and choose \(I\in C^\infty _c(\mathbb {R}^d)\) with \(0\le I(\xi )\le 1\) and \(I(\xi )\equiv 1\) in a neighbourhood of \(\xi =0.\) Also, we define \((\widetilde{f})^{\widehat{}}:=I\hat{f}\) and
with \(\varphi _\varepsilon (\xi ):=\varepsilon ^{-d}\varphi (\xi /\varepsilon )\) and \(\varphi \) being a compactly supported mollifier. Since \({{\mathrm{supp}}}(I)\) is compact, we may choose a finite subset \(T^*\subset \mathcal {T},\) such that \({{\mathrm{supp}}}(I)\subset \cup _{T\in T^*}Q_T\) and \(\sum _{T\in T^*}\psi _T(\xi )\equiv 1\) on \({{\mathrm{supp}}}(I).\) Using Lemma 8.2 below we obtain
with \(\tilde{p}=\min \{1,\,p\}.\) The dominated convergence theorem thus yields
so the proof is done if we can show that \(\Vert f-\widetilde{f}\Vert _{D^s_{p,q}}\) can be made arbitrary small by choosing \(\widetilde{f}\) appropriately. To show this, we define the set \(T_{\circ }:=\{T\in \mathcal {T}~|~I(\xi )\equiv 1 \text { on}\,{{\mathrm{supp}}}(\psi _T)\}.\) Denoting the complement \(T_{\circ }^c,\) Lemma 8.2 below yields
Finally, since \(f\in D^s_{p,q}\) we can choose \({{\mathrm{supp}}}(I)\) large enough, such that \(\Vert f-\widetilde{f}\Vert _{D^s_{p,q}}<\varepsilon ,\) for any given \(\varepsilon >0.\) This proves Theorem 2.1(3). \(\square \)
In the proof of Theorem 2.1 we used the following two lemmas. A proof of Lemma 8.1 can be found in [3, Lemma 3] and a proof of Lemma 8.2 can be found in [42, Proposition 1.5.1].
Lemma 8.1
Let \(g\in L^p(\mathbb {R}^d)\) and \({{\mathrm{supp}}}(\hat{g})\subset \Gamma ,\) with \(\Gamma \subset \mathbb {R}^d\) compact. Given an invertible affine transformation T, let \(\hat{g}_T(\xi ):=\hat{g}(T^{-1}\xi ).\) Then for \(0<p\le q\le \infty ,\)
for a constant C independent of T.
Lemma 8.2
Let \(\Omega \) and \(\Gamma \) be compact subsets of \(\mathbb {R}^d.\) Let \(0<p\le \infty \) and \(\tilde{p}=\min \{1,\,p\}.\) Then there exists a constant C such that
for all \(f\in L^p(\mathbb {R}^d)\) with \({{\mathrm{supp}}}(\hat{f})\subset \Omega \) and all \(\mathcal {F}^{-1}M\in L^{\tilde{p}}(\mathbb {R}^d)\) with \({{\mathrm{supp}}}(M)\subset \Gamma .\)
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Ottosen, E.S., Nielsen, M. A Characterization of Sparse Nonstationary Gabor Expansions. J Fourier Anal Appl 24, 1048–1071 (2018). https://doi.org/10.1007/s00041-017-9546-6
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DOI: https://doi.org/10.1007/s00041-017-9546-6
Keywords
- Time–frequency analysis
- Nonstationary Gabor frames
- Decomposition spaces
- Banach frames
- Nonlinear approximation