Filtering techniques are methods used to separate or isolate specific information from a larger dataset. These techniques can be applied in various fields, such as data analysis, image processing, and signal processing. Common filtering methods include low-pass filters, which allow low-frequency signals to pass while blocking high-frequency noise, and high-pass filters, which do the opposite. In data analysis, filtering techniques help in refining datasets by removing irrelevant or redundant information. For instance, SQL queries can filter database records based on specific criteria, making it easier to analyze and interpret data. Overall, filtering techniques enhance clarity and focus in both data and media.