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- Technical improvements are being made to increase the hit rate, including the Integrated Particle Filter (IPF) and Propagation of Local Undamped Motion (PLUM) methods.
- In a metal housing (Faraday cup) a particle filter is mounted on an insulator.
- g. particle filter or histogram filter) depends on many parameters and implementation details and should not be used in safety critical applications (since it is very hard to yield theoretical guarantees or do proper testing), unless one has a very good reason.
- He was also co-author of the seminal paper on the particle filter (Gordon, Salmond and Smith, 1993).
- The objective of a particle filter is to estimate the posterior density of the state variables given the observation variables.
- Some minor changes were made to the electrical system and some engines, such diesel engine models received a particle filter.
- There are different methods to perform a Monte Carlo integration, such as uniform sampling, stratified sampling, importance sampling, sequential Monte Carlo (also known as a particle filter), and mean-field particle methods.
- When the gas enters the surface unit it goes through a coalescing water separator and micron particle filter, and a float valve, which protects the reclaim system from large volumes of water in the event of a leak at depth.
- The tax amount also depends on the emissions class (Euro 1 – Euro 6), whether a diesel car has a soot particle filter, and the initial date of vehicle registration.
- Most modern hypoallergenic vacuum cleaners use a system consisting of four primary components: the final output filter (generally a HEPA or similar filter), the motor and fan or impeller assembly, secondary particle filter to protect the motor assembly, and a primary filter - a bag, cup or wet filter bucket (each of which provide the initial filtration and retention of most dust and contaminants).
- His works are primarily in Bayesian statistics, Markov chain Monte Carlo and Sequential Monte Carlo, (aka Particle filter).
- The auxiliary particle filter is a particle filtering algorithm introduced by Pitt and Shephard in 1999 to improve some deficiencies of the sequential importance resampling (SIR) algorithm when dealing with tailed observation densities.
- EnKF is related to the particle filter (in this context, a particle is the same thing as an ensemble member) but the EnKF makes the assumption that all probability distributions involved are Gaussian; when it is applicable, it is much more efficient than the particle filter.
- Before the greywater can be reused, it is channeled through a grease and particle filter/digester and into a [...] deep rubber-lined botanical cell, a miniature living machine, within the Earthship.
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Contains translations by TU Chemnitz and Mr Honey's Business Dictionary (German-English only).
Links to this dictionary or to individual translations are very welcome!