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Lecture
Neural Signals and Signal Processing
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Related lectures (32)
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Discusses signal representation, focusing on mathematical expressions and inequalities in signal processing.
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Explores t-tests, confidence intervals, ANOVA, and hypothesis testing in statistics, emphasizing the importance of avoiding false discoveries and understanding the logic behind statistical tests.
