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  1. Dictionary
    filter
    /ˈfɪltə/

    noun

    • 1. a porous device for removing impurities or solid particles from a liquid or gas passed through it: "an oil filter"
    • 2. an arrangement whereby vehicles may turn left (or right) while other traffic waiting to go straight ahead or turn right (or left) is stopped by a red light: British "a filter lane"

    verb

    More definitions, origin and scrabble points

  2. 4 days ago · Chebyshev filter - Wikipedia. Chebyshev filters are analog or digital filters that have a steeper roll-off than Butterworth filters, and have either passband ripple (type I) or stopband ripple (type II).

  3. 1 day ago · For statistics and control theory, Kalman filtering, also known as linear quadratic estimation, is an algorithm that uses a series of measurements observed over time, including statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by est...

  4. 3 days ago · What does backwashing involve? Why do some filters need to backwash, while others don’t? What are the benefits of backwashing, and what are the setbacks of this process? We’ve answered all of your questions in this detailed guide. Table of Contents. 📤 What Is a Whole House Backwashing Filter? Why do Some Filters Need to Backwash?

    • 5 min
  5. 5 days ago · Definitions of filtration. noun. the process whereby fluids pass through a filter or a filtering medium. see more. noun. the act of changing a fluid by passing it through a filter. see more.

  6. 3 days ago · Water purification is the process of purifying water by removing undesirable chemicals, dissolved minerals, heavy metals, microorganisms, and other inorganic and organic particles. The true definition of water purification is the process of removing all impurities from water, leaving only water (H20 particles).

  7. 4 days ago · Linear filters are signal or image processing filters that implement linear operations, this therefore implies that the result produced by the filter is a linear function of the input values. This means the filter’s response to a weighted sum of the inputs is equal to the weighted sum of the responses of the filter to all inputs.