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Two Conjectures on Finite Gabor Systems

有限Gabor系统的两个猜想

基本信息

批准号：
2050187
负责人：
Kasso Okoudjou
金额：
$ 13.88万
依托单位：
Tufts University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-08-01 至 2022-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2050187&HistoricalAwards=false
关键词：
Two Conjectures Finite Gabor Systems

项目摘要

Advances in digital signal processing often rely on successes in pure and computational harmonic analysis, a branch of mathematics dating back to Joseph Fourier. Examples of these successes include the introduction of the JPEG standard for compression of photographic images, advances in phaseless reconstruction, and compressed sensing, e.g., the construction of single pixel cameras. At the core of this progress is a better understanding of the redundancy inherent in many data generated in our daily lives. Frame theory can be viewed as one of the appropriate paradigms to investigate and model redundancy. The investigators use frame theory to study two classes of problems whose solutions could have significant applicability in quantum information theory. Because some of the mathematical problems taken up in this project are related to engineering problems, their solutions could lead to advances in signal processing and technological infrastructure, as well as broaden the understanding and role of frames in applications.The investigators study the Zauner conjecture in quantum information theory and the HRT (Heil-Ramanathan-Topiwala) conjecture in time-frequency analysis. They observe that the Zauner conjecture is a special case of the HRT conjecture in the setting of rank-one finite-dimensional time-frequency matrices, and use that relationship initially for the transference of current technology for each conjecture. The theory of frames plays a fundamental role in formulating and understanding the problems the investigators examine here. The notion of the coherence of finite sets of vectors is an important quantitative measure necessary to make technical progress in solving these problems, especially as regards understanding the role of maximal incoherence that such sets may have.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

数字信号处理的进步通常依赖于纯谐波分析和计算谐波分析的成功，这是数学的一个分支，可以追溯到约瑟夫·傅立叶。这些成功的例子包括用于压缩摄影图像的JPEG标准的引入、无相重建的进步和压缩感测，例如，单像素相机的构造。这一进展的核心是更好地理解我们日常生活中产生的许多数据所固有的冗余。框架理论可以被看作是研究和建模冗余的合适范式之一。研究人员使用框架理论来研究两类问题，其解决方案可能在量子信息理论中具有重要的适用性。由于该项目中的一些数学问题与工程问题有关，它们的解决方案可能会导致信号处理和技术基础设施的进步，以及拓宽框架在应用中的理解和作用。研究人员研究量子信息理论中的Zauner猜想和时频分析中的HRT（Heil-Ramanathan-Topiwala）猜想。他们观察到，Zauner猜想是HRT猜想在秩一有限维时频矩阵设置中的特例，并最初使用这种关系来转移每个猜想的当前技术。框架理论在阐述和理解研究者在此研究的问题中起着基础性的作用。有限向量集的一致性概念是解决这些问题的技术进步所必需的一个重要的量化措施，特别是在理解这些集合可能具有的最大不一致性的作用方面。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估而被认为值得支持。