Mathematical Analysis of the Empirical Mode Decomposition
Sector: Road • Location: Washington, United States of America (USA)
Source: Federal Highway Administration (FHWA)
This study consists of two broad fronts of studies: to improve the presently available Empirical Mode Decomposition (EMD) algorithms and to establish a rigorous mathematical foundation for the generalized adaptive data analysis methodology. The success of the first research area will enhance immediate improvement of information management in a complex or significantly rich signal data system, such
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Status
Original status | completed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Description
Description | This study consists of two broad fronts of studies: to improve the presently available Empirical Mode Decomposition (EMD) algorithms and to establish a rigorous mathematical foundation for the generalized adaptive data analysis methodology. The success of the first research area will enhance immediate improvement of information management in a complex or significantly rich signal data system, such as the Integrated Safety System being considered by the Federal Highway Administration (FHWA) or for full-scale traffic control systems. The success of the second research area would enable drastic improvement of robustness and reliability of the algorithm and guarantees its further applications. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
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Country | Obfuscated |
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Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
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