Signal separation refers to techniques used to isolate individual signals from a mixture of signals. This is commonly encountered in various fields such as audio processing, telecommunications, biomedical engineering, and image processing. The goal is to extract a specific signal of interest from backgrounds of noise or interference, or from other overlapping signals. There are several methods for signal separation, including: 1. **Blind Source Separation (BSS)**: This involves separating signals without prior knowledge of the source signals.
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