Collaborative Research: Spectral analysis of limiting operators in higher dimensions — NSF Award to CUNY Graduate School Universit
This project focuses on developing new mathematical techniques that help us analyze signals more effectively by carefully isolating their distinct parts, whether in time, space, or frequency, without interference. Tackling this challenge enables researchers and engineers to build practical tools that clean up noisy sig
| Award title | Collaborative Research: Spectral analysis of limiting operators in higher dimensions |
|---|---|
| Award ID | 2453769 |
| Awardee | CUNY Graduate School University Center |
| City | NEW YORK |
| State | NY |
| Amount obligated | $262,000 |
| Principal investigator | Azita Mayeli |
| Program | ANALYSIS PROGRAM |
| Start date | 08/01/2025 |
| Abstract | This project focuses on developing new mathematical techniques that help us analyze signals more effectively by carefully isolating their distinct parts, whether in time, space, or frequency, without interference. Tackling this challenge enables researchers and engineers to build practical tools that clean up noisy signals and reveal essential details. These improvements directly enhance everyday technologies, such as delivering sharper and clearer MRI scans, boosting the reliability of our wire |
| Source | NSF Awards |
$799/mo
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