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HEPA filter corrugated internal structure and aluminium support along with the description of its functioning principle (interception, impact and diffusion of dust particles through a dense non-woven fiber material) HEPA (/ ˈ h ɛ p ə /, high-efficiency particulate air) filter, also known as high-efficiency particulate absorbing filter [citation needed] and high-efficiency particulate ...
Water filter. A water filter removes impurities by lowering contamination of water using a fine physical barrier, a chemical process, or a biological process. Filters cleanse water to different extents, for purposes such as: providing agricultural irrigation, accessible drinking water, public and private aquariums, and the safe use of ponds and ...
History The filtering method is named for Hungarian émigré Rudolf E. Kálmán, although Thorvald Nicolai Thiele [18] [19] and Peter Swerling developed a similar algorithm earlier. Richard S. Bucy of the Johns Hopkins Applied Physics Laboratory contributed to the theory, causing it to be known sometimes as Kalman–Bucy filtering. . Kalman was inspired to derive the Kalman filter by applying ...
Chamberland filter. A Chamberland filter, also known as a Pasteur –Chamberland filter, is a porcelain water filter invented by Charles Chamberland in 1884. [1] It was developed after Henry Doulton's ceramic water filter of 1827. It is similar to the Berkefeld filter in principle.
Coffee percolator. Electric percolator. A coffee percolator is a type of pot used for the brewing of coffee by continually cycling the boiling or nearly boiling brew through the grounds using gravity until the required strength is reached. The grounds are held in a perforated metal filter basket.
A Bayer filter mosaic is a color filter array (CFA) for arranging RGB color filters on a square grid of photosensors. Its particular arrangement of color filters is used in most single-chip digital image sensors used in digital cameras, and camcorders to create a color image. The filter pattern is half green, one quarter red and one quarter ...
Particle filters, or sequential Monte Carlo methods, are a set of Monte Carlo algorithms used to find approximate solutions for filtering problems for nonlinear state-space systems, such as signal processing and Bayesian statistical inference. The filtering problem consists of estimating the internal states in dynamical systems when partial observations are made and random perturbations are ...
