2021
DOI: 10.48550/arxiv.2109.09296
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Continuous Welch bounds with Applications

K. Mahesh Krishna

Abstract: Let (Ω, µ) be a measure space and {τ α } α∈Ω be a normalized continuous Bessel family for a finite dimensional Hilbert space H of dimension d. If the diagonal ∆ := {(α, α) : α ∈ Ω} is measurable in the measure space Ω × Ω, then we show that supThis improves 47 years old celebrated result of Welch [IEEE Transactions on Information Theory, 1974 ].We introduce the notions of continuous cross correlation and frame potential of Bessel family and give applications of continuous Welch bounds to these concepts. We als… Show more

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Cited by 10 publications
(15 citation statements)
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“…Remark 3.14. Using the Kasparov theory of integration in Hilbert C*-modules [43,81] over Lie groups [13,22], we can derive results obtained in [48] for Hilbert C*-modules (in a similar line) whenever the measure space is a Lie group and the collection is a modular continuous Bessel family defined as follows.…”
Section: Applicationsmentioning
confidence: 99%
See 2 more Smart Citations
“…Remark 3.14. Using the Kasparov theory of integration in Hilbert C*-modules [43,81] over Lie groups [13,22], we can derive results obtained in [48] for Hilbert C*-modules (in a similar line) whenever the measure space is a Lie group and the collection is a modular continuous Bessel family defined as follows.…”
Section: Applicationsmentioning
confidence: 99%
“…Here we list some sample results, conjectures and concepts done in [48] for Hilbert C*-modules. In the remaining part, (G, µ G ) is a Lie group with Haar measure.…”
Section: Applicationsmentioning
confidence: 99%
See 1 more Smart Citation
“…Theorem 1.2 has been recently generalized in full generality for Hilbert spaces and σ-finite measure spaces by the author in [43].…”
Section: Introductionmentioning
confidence: 99%
“…Theorem 1.3. [43] Let (Ω, µ) be a measure space and {τ α } α∈Ω be a normalized continuous Bessel family for H of dimension d. If the diagonal ∆ := {(α, α) : α ∈ Ω} is measurable in the measure space Ω × Ω,…”
Section: Introductionmentioning
confidence: 99%