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Journals / Bitlis Eren Üniversitesi Fen Bilimleri Dergisi / 2026 / Volume: 15 Issue: 1

Boundedness of the Ambiguity Function on Hardy and BMO Spaces

Ayşe Sandıkçı(ONDOKUZ MAYIS UNIVERSITY)0000-0001-5800-5558
Pages
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Publication Date
2026-03-24
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Furthermore, the study meticulously investigates the Hardy and BMO distances between two ambiguities that depend on different windows and signals.

📌 3 Key Takeaways

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Objective & Hypothesis:This paper demonstrates that the ambiguity function, which is well-known for its significant engineering applications, provides results on boundedness on the Hardy and BMO (Bounded Mean Oscillation) spaces, which are also of central importance in various mathematical fields of study, including Fourier and harmonic analysis.
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Key Findings & Data:This paper demonstrates that the ambiguity function, which is well-known for its significant engineering applications, provides results on boundedness on the Hardy and BMO (Bounded Mean Oscillation) spaces, which are also of central importance in various mathematical fields of study, including Fourier and harmonic analysis.
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Conclusion & Impact:Furthermore, the study meticulously investigates the Hardy and BMO distances between two ambiguities that depend on different windows and signals.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Ambiguity function · Hardy space · BMO space

Abstract

This paper demonstrates that the ambiguity function, which is well-known for its significant engineering applications, provides results on boundedness on the Hardy and BMO (Bounded Mean Oscillation) spaces, which are also of central importance in various mathematical fields of study, including Fourier and harmonic analysis. Furthermore, the study meticulously investigates the Hardy and BMO distances between two ambiguities that depend on different windows and signals.

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Cite This Article

Sandıkçı, A. (2026). Boundedness of the Ambiguity Function on Hardy and BMO Spaces. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, Volume: 15 Issue: 1. https://doi.org/10.17798/bitlisfen.1732322

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