filteringbased
Filteringbased refers to a category of algorithms or systems that operate by applying a series of filters to data. These filters are designed to selectively allow or block certain information based on predefined criteria. The fundamental principle is to refine a dataset by removing unwanted components or extracting specific features.
In signal processing, filteringbased techniques are common for noise reduction, signal enhancement, or separating different frequency
In image processing, filteringbased methods are used for tasks such as blurring, sharpening, edge detection, and
More broadly, filteringbased approaches are employed in data analysis and machine learning. This can involve pre-processing