Signal averaging is a technique used in signal processing to enhance the signal-to-noise ratio (SNR) of a signal. It involves taking multiple measurements or samples of the same signal, which may be obscured by noise, and averaging them over time. This helps to reduce random noise while preserving the underlying signal. Here’s how it generally works: 1. **Multiple Measurements**: The same signal is recorded multiple times, usually under the same conditions.
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