What does high randomness in signal processing indicate?

High randomness in signal processing signifies a high level of uncertainty or variability in the measured signals. This is typically represented by a high standard deviation, which indicates greater dispersion of data points around the mean value. In the context of signal processing, high noise levels introduce randomness and can obscure the underlying signal, making it difficult to extract meaningful information. Therefore, when randomness is high, it correlates with elevated noise levels that affect the quality and reliability of the signal being analyzed.

This understanding reinforces the significance of managing noise in imaging technologies such as fluoroscopy, where clear signals are critical for accurate diagnostics. Techniques to reduce noise and better control randomness can lead to enhanced image quality and more reliable information, which is essential in medical environments.