 Signal processing metrics

Signal processing metrics refer to various quantitative measures used to evaluate the performance, quality, or characteristics of signals and systems in signal processing. These metrics are crucial for analyzing signals in fields such as telecommunications, audio and speech processing, image and video processing, biomedical signal processing, and more. Here are some common signal processing metrics: 1. **Signal-to-Noise Ratio (SNR)**: SNR measures the ratio of the power of a signal to the power of background noise.