Time-frequency peak filtering for the recognition of communication signals
Most existing classification methods cannot work in low signal-to-noise ratio (SNR) environments. This limitation motivates the signal filtering before the classification process. In this paper, a general framework that links the time-frequency peak filtering (TFPF) and traditional feature-based sig...
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Main Authors: | , |
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Other Authors: | |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/96727 http://hdl.handle.net/10220/13117 |
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Institution: | Nanyang Technological University |
Language: | English |