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IEEE/ICACT20260241 Slide.07
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Why do we need machine learning in spectrum sensing? Conventional methods like energy detection come with serious drawbacks. The conventional methods are noise-sensitive, can not classify signals, depend too much on thresholds, and ignore key signal features, which makes them unreliable for modern spectrum sensing. Machine learning overcomes these limitations. | |
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