Global Phaseless Sampling in Spline Spaces With Arbitrary Knots

This paper addresses phaseless sampling on the real line for spaces generated by B-splines with arbitrary knots. We provide a characterization for a sequence of phaseless samples on the entire line and demonstrate that any non-separable signal can be recovered, up to a sign, with a specific sampling rate.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Information Theory
Published
2025-05-02
DOI
https://doi.org/10.1109/tit.2025.3566680
Citations
1
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global Phaseless Sampling in Spline Spaces With Arbitrary Knots

Bei Liu, Rui Li, Qingyue Zhang
1 citations
IEEE Transactions on Information Theory
Advanced Numerical Analysis Techniques
1.33
article

Global Phaseless Sampling in Spline Spaces With Arbitrary Knots

Bei Liu, Rui Li, Qingyue Zhang
article en
1 citations

Abstract

This paper addresses phaseless sampling on the real line for spaces generated by B-splines with arbitrary knots. We provide a characterization for a sequence of phaseless samples on the entire line and demonstrate that any non-separable signal can be recovered, up to a sign, with a specific sampling rate.

IEEE Transactions on Information TheoryVol. 71(7)
Tianjin University of Technology (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 24%
Advanced Numerical Analysis Techniques
1.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.