Signal averaging is a technique used to improve the signal-to-noise ratio by averaging multiple samples of a signal, thereby reducing random noise and enhancing the underlying pattern. This method is particularly valuable in analyzing signals like electromyography (EMG), where the recorded data may be contaminated with noise, allowing for clearer interpretation of muscle activity.
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