Component isolation for multi-component signal analysis using a non-parametric gaussian latent feature model
A challenge in analysing non-stationary multi-component signals is to isolate nonlinearly time-varying signals especially when they are overlapped in time and frequency plane. In this paper, a framework integrating time-frequency analysis-based demodulation and a non-parametric Gaussian latent featu...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Published: |
Elsevier
2017
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