Noisy signals refer to signals that are corrupted by random fluctuations or disturbances, making them less clear and more challenging to interpret. This noise can come from various sources, including electronic interference, environmental factors, or inherent randomness in the signal generation process. In the context of estimation techniques like Minimum Mean Square Error (MMSE), understanding and managing noisy signals is crucial for improving the accuracy of signal processing and retrieval.
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