Author:
Grohs Philipp,Liehr Lukas
Abstract
AbstractDue to its appearance in a remarkably wide field of applications, such as audio processing and coherent diffraction imaging, the short-time Fourier transform (STFT) phase retrieval problem has seen a great deal of attention in recent years. A central problem in STFT phase retrieval concerns the question for which window functions $$g \in {L^2({\mathbb R}^d)}$$
g
∈
L
2
(
R
d
)
and which sampling sets $$\Lambda \subseteq {\mathbb R}^{2d}$$
Λ
⊆
R
2
d
is every $$f \in {L^2({\mathbb R}^d)}$$
f
∈
L
2
(
R
d
)
uniquely determined (up to a global phase factor) by phaseless samples of the form $$\begin{aligned} |V_gf(\Lambda )| = \left\{ |V_gf(\lambda )|: \lambda \in \Lambda \right\} , \end{aligned}$$
|
V
g
f
(
Λ
)
|
=
|
V
g
f
(
λ
)
|
:
λ
∈
Λ
,
where $$V_gf$$
V
g
f
denotes the STFT of f with respect to g. The investigation of this question constitutes a key step towards making the problem computationally tractable. However, it deviates from ordinary sampling tasks in a fundamental and subtle manner: recent results demonstrate that uniqueness is unachievable if $$\Lambda $$
Λ
is a lattice, i.e $$\Lambda = A{\mathbb Z}^{2d}, A \in \textrm{GL}(2d,{\mathbb R})$$
Λ
=
A
Z
2
d
,
A
∈
GL
(
2
d
,
R
)
. Driven by this discretization barrier, the present article centers around the initiation of a novel sampling scheme which allows for unique recovery of any square-integrable function via phaseless STFT-sampling. Specifically, we show that square-root lattices, i.e., sets of the form $$\begin{aligned} \Lambda = A \left( \sqrt{{\mathbb Z}} \right) ^{2d}, \ \sqrt{{\mathbb Z}} = \{ \pm \sqrt{n}: n \in {\mathbb N}_0 \}, \end{aligned}$$
Λ
=
A
Z
2
d
,
Z
=
{
±
n
:
n
∈
N
0
}
,
guarantee uniqueness of the STFT phase retrieval problem. The result holds for a large class of window functions, including Gaussians
Publisher
Springer Science and Business Media LLC