David Morabito

Details der Publikationsliste

Zeitraum

1990 - 2008

Anzahl

10

Co-Autoren

Integrated network architecture for sustained human and robotic exploration (2008)

Noreen, Gary, Cesarone, Robert, Deutsch, Leslie, Edwards, Charles, Soloff, Jason, Ely, Todd, ...

The National Aeronautics and Space Administration (NASA) Exploration Systems Enterprise is planning a series of human and robotic missions to the Earth's moon and to Mars. These missions will require...

Link design and planning for Mars Reconnaissance Orbiter (MRO) Ka-band (32 GHz) telecom demonstration (2007)

Shambayati, Shervin, Davarian, Faramaz, Morabito, David

NASA is planning an engineering telemetry demonstration with Mars Reconnaissance Orbiter (MRO). Capabilities of Ka-band (32 GHz) for use with deep space mission are demonstrated using the link...

Use of the 37-38 GHz and 40-40.5 GHz Ka-bands for Deep Space communications (2006)

Morabito, David, Hastrup, Rolf

This paper covers a wide variety of issues associated with the implementation and use of these frequency bands for deep space communications. Performance issues, such as ground station pointing...

Mars reconnaissance orbiter Ka-band (32 GHz) demonstration : cruise phase operations (2006)

Shambayati, Shervin, Morabito, David, Border, James S., Davarian, Faramaz, Lee, Dennis, Mendoza, Ricardo, ...

The X-band (8.41 GHz) frequency currently used for deep space telecommunications is too narrow (50 MHz) to support future high rate missions. Because of this NASA has decided to transition to Ka-band...

Integrated network architecture for sustained human and robotic exploration (2005)

Noreen, Gary K., Cesarone, Robert, Deutsch, Leslie, Edwards, Charlie, Soloff, Jason, Ely, Todd, ...

The National Aeronautics and Space Administration (NASA) Exploration Systems Mission Directorate is planning a series of human and robotic missions to the Earth's moon and to Mars. These missions...

Statistical mechanics of neural networks and combinatorial optimization problems (1990)

Morabito, David

Local learning neural networks have long been limited by their inability to store correlated patterns. A common parameter used to specify the capacity of a network is