Analysis, algorithms and applications of compressed sensing
Compressed sensing (CS) is an emerging research area which studies the problem of recovering a high dimensional sparse signal from its low dimensional linear samples. While CS can acquire a signal with a sub-Nyquist sampling rate, it requires a nonlinear signal reconstruction strategy which is compu...
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格式: | Theses and Dissertations |
語言: | English |
出版: |
2014
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在線閱讀: | https://hdl.handle.net/10356/59537 |
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