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1

Tracking filter engineering: The Gauss-Newton and polynomial filters. London: Institution of Engineering and Technology, 2013.

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2

Vandenbyllaardt, L. J. Performance characteristics of four biological filters and the development of a filter sizing procedure. Winnipeg, Man: Central and Arctic Region, Dept. of Fisheries and Oceans, 1992.

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3

Blandford, Richard K. The digital filter analyzer. Reading, Mass: Addison-Wesley, 1988.

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4

Gaver, Donald Paul. Robustifying the Kalman filter. Monterey, Calif: Naval Postgraduate School, 1987.

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5

Christiano, Lawrence J. The band pass filter. Cambridge, MA: National Bureau of Economic Research, 1999.

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6

Wells, Curt. The Kalman filter in finance. Dordrecht [Netherlands]: Kluwer Academic Publishers, 1996.

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7

Wells, Curt. The Kalman Filter in Finance. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8611-5.

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8

Robert, Powell. Ken Yeang: Rethingking the environmental filter. Singapore: Landmark Books, 1989.

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9

Data assimilation: The ensemble Kalman filter. Berlin: Springer, 2007.

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10

Lin, Dennis K. J. Handling spuriosity in the Kalman filter. Toronto, Ont: University of Toronto, Dept. of Statistics, 1992.

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11

Lin, Dennis K. J. Handling spuriosity in the Kalman filter. Toronto: Dept. of Statistics, University of Toronto, 1991.

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12

Evensen, Geir. Data Assimilation: The Ensemble Kalman Filter. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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13

The modern converter and filter circuit encyclopedia. Blue Ridge Summit, PA: TAB Books, 1993.

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14

Catlin, Donald E. Estimation, control, and the discrete Kalman filter. New York: Springer-Verlag, 1989.

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15

Woitek, Ulrich. A note on the Baxter-King Filter. Glasgow: University of Glasgow, Department of Economics., 1998.

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16

Catlin, Donald E. Estimation, Control, and the Discrete Kalman Filter. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-4528-5.

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17

Terence, Riley, Abram Joseph, and Columbia University, eds. The filter of reason: Work of Paul Nelson. New York: Rizzoli, 1990.

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18

Mäkivirta, Aki. Use of the median filter in haemodynamic monitoring. Espoo: Technical Research Centre of Finland, 1992.

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19

Androvich, Mark. Syphon filter: The Omega strain : official strategy guide. Indianapolis: BradyGames, 2004.

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20

Atanasov, Assoc Prof Ljuben, ed. The Reading – Anti-manipulating Filter: Четенето – антиманипулативен филтър. Sofia, Bulgaria: Gaberoff, 2000.

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21

Civera, Javier, Andrew J. Davison, and José María Martínez Montiel. Structure from Motion using the Extended Kalman Filter. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24834-4.

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22

Llamas, Andreu. Sponges: Filters of the sea. Milwaukee: Gareth Stevens Pub., 1997.

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23

1936-, Chen Wai-Kai, ed. The circuits and filters handbook. 2nd ed. Boca Raton, FL: CRC Press, 2002.

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24

Frost, Lee. The photographer's guide to filters. Newton Abbot: David & Charles, 2002.

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25

1936-, Chen Wai-Kai, ed. The circuits and filters handbook. Boca Raton, Fla: CRC Press, 1995.

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26

Weinstein, Syd. Elm filter system guide: What the filter programme is, what it does, and how to use it : version 2.4. [s.l.]: Usenet Community Trust, 1992.

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27

Wilbur, Mickey Joe D. The VLSI implementation of a GIC switched capacitor filter. Monterey, Calif: Naval Postgraduate School, 1998.

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28

Thijssen, P. C. State estimation in chemometrics: The Kalman filter and beyond. Chichester, UK: Horwood Pub., 2008.

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29

Dosoudil, M. The amafilter continuous pressure filter for fine coal cleaning. S.l: s.n, 1988.

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30

Forecasting, structural time series models, and the Kalman filter. Cambridge: Cambridge University Press, 1990.

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31

Harvey, Andrew. Forecasting, structural time series models and the Kalman filter. Cambridge: Cambridge University Press, 1989.

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32

Morrison. Tracking Filter Engineering: The Gauss-Newton and polynomial filters. Institution of Engineering and Technology, 2012. http://dx.doi.org/10.1049/pbra023e.

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33

Patel, Mikin V., and Steven Zangan. Femoral Retrieval of Conical Filters. Edited by S. Lowell Kahn, Bulent Arslan, and Abdulrahman Masrani. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199986071.003.0056.

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Inferior vena cava (IVC) filters are a safe, effective treatment option for the prevention of pulmonary embolism in patients who either have contraindication to or fail anticoagulation. However, filters pose long-term risks, such as IVC thrombosis, deep vein thrombosis, penetration of the IVC wall, filter fracture, and filter migration. IVC filters should be retrieved once the indication for placement has passed. However, cervical access frequently becomes compromised. This chapter reviews strategies for retrieving IVC filters from a femoral approach. Various techniques are discussed, including snaring the filter struts and the use of bilateral femoral sheaths to recapture the IVC filter.
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34

Plotnik, Adam N., and Stephen Kee. Femoral Flip Technique for Removal of the G2 Filter. Edited by S. Lowell Kahn, Bulent Arslan, and Abdulrahman Masrani. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199986071.003.0055.

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The purpose of temporary retrievable inferior vena cava (IVC) filters is to provide protection from pulmonary emboli while the patient is at risk while simultaneously avoiding the long-term complications that result from permanent filters. In addition to the complications of filter fracture and caval penetration, there is an increasing incidence of recurrent deep vein thrombosis and caval occlusion following filter placement; therefore, whenever possible, retrieval of IVC filters should be attempted. The “femoral flip” technique may be employed for difficult G2 IVC filter retrievals where standard techniques have failed, usually due to either one of the legs or the hook becoming embedded in the wall.
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35

F. A. B. 1869 Bühler and John Joseph Eastick. Filters and Filter Presses for the Separation of Liquids and Solids. Creative Media Partners, LLC, 2018.

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36

F. A. B. 1869 Bühler and John Joseph Eastick. Filters and Filter Presses for the Separation of Liquids and Solids. Creative Media Partners, LLC, 2018.

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37

Filters and Filter Presses for the Separation of Liquids and Solids. Franklin Classics, 2018.

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38

Ristic, Branko, Sanjeev Arulampalam, and Neil Gordon. Beyond the Kalman Filter: Particle Filters for Tracking Applications (Artech House Radar Library). Artech House Publishers, 2004.

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39

Arabi, Mohammad. Laser Sheath Assisted Filter Removal. Edited by S. Lowell Kahn, Bulent Arslan, and Abdulrahman Masrani. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199986071.003.0057.

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This chapter presents a step-by-step guide to the use of laser sheath assisted filter removal. It describes the clinical applications of laser-tipped sheath in removing chronically embedded filters using controlled photothermal ablation of the endothelium surrounding the filter struts. This technique has been long used for extraction of pacemaker leads and has recently been extrapolated to filter removal because it minimizes the forces applied during difficult retrieval procedures and allows for removal of permanent filter devices. In addition to requiring less force for filter retrieval, laser sheath assisted removal helps reduce the total fluoroscopic time needed to complete the procedure. This chapter details the technical steps, potential pitfalls, and possible complications of this technique.
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40

Plotnik, Adam N., and Stephen Kee. Removing the Angled Inferior Vena Cava Filter with an Embedded Hook: The “Hangman” Technique. Edited by S. Lowell Kahn, Bulent Arslan, and Abdulrahman Masrani. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199986071.003.0054.

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Multiple advanced techniques for the retrieval of difficult inferior vena cava (IVC) filters have been published in the literature, most of which describe mechanical methods to disrupt the fibrous capsule in cases in which the filter hook or struts have become embedded in the IVC wall. Despite reported high success rates, these techniques often require multiple venous access sites or the use of special equipment. The “hangman” technique is a modified “loop snare” technique that requires only a single venous access and uses standard interventional equipment. It modifies the loop snare technique by passing the wire loop between the filter neck and IVC wall, as opposed to the filter. This chapter elaborates on the hangman technique and its applications and steps.
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41

#No Filter The Book. Anthony Barnes, 2015.

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42

Blandford, Dick K. The Digital Filter Analyzer. Addison-Wesley, 1988.

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43

Kahn, S. Lowell. Deploying a Straight Conical Filter. Edited by S. Lowell Kahn, Bulent Arslan, and Abdulrahman Masrani. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199986071.003.0053.

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Placement of inferior vena cava (IVC) filters is among the most common medical procedures, with more than 265,000 placed annually. Absolute indications for their placement include acute proximal deep venous thrombosis (DVT) and pulmonary embolism (PE) in patients who have an absolute contraindication to anticoagulation and patients with recurrent thromboembolism despite adequate anticoagulation. Although the survival benefit is unknown, it has been shown that filters decrease the incidence of PE in the short term. Unfortunately, this comes at the expense of known complications, the most important being DVT. This chapter discusses simple techniques to prevent conical filter tilting and enhance retrieval.
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44

Coykendall, M. C. The Filter of the Mind. Holy Fire Publishing, 2005.

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45

Anderson, Smith A. Guide on Oil Filter: The Best Oil Filters to Be Used and How to Install and Change Them. Independently Published, 2020.

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46

The Physics of Filter Coffee. Scott Rao, 2020.

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47

Candappa, Rohan. The Stocking Filler. Ebury Press, 1998.

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48

The Coffin Filler. Robert Hale Ltd, 1998.

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49

The Stocking Filler. Ebury Press, 1998.

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50

The OpenBSD PF Packet Filter Book. Reed Media Services, 2006.

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