Noise Reduction

Noise reduction refers to the process of removing unwanted or irrelevant data from a signal or dataset. It is commonly used in various fields such as audio processing, image processing, and machine learning to improve the quality and accuracy of data. The main characteristics of noise reduction techniques include filtering, averaging, and signal processing algorithms that help in distinguishing between the signal of interest and the noise. Common use cases include enhancing audio recordings, improving image clarity, and refining data inputs for machine learning models to boost performance and reliability.