Identification of Interfering Signals in Software Defined Radio Applications Using Sparse Signal Reconstruction Techniques
Software-defined radios have the agility and flexibility to tune performance parameters, allowing them to adapt to environmental changes, adapt to desired modes of operation, and provide varied functionality as needed. Traditional software-defined radios use a combination of conditional processing...
Main Author: | Yamada, Randy Matthew |
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Other Authors: | Electrical and Computer Engineering |
Format: | Others |
Published: |
Virginia Tech
2014
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Subjects: | |
Online Access: | http://hdl.handle.net/10919/50609 |
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