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1

Willingham, Scott D., and Ken Martin. Integrated Video-Frequency Continuous-Time Filters. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2347-5.

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2

Abidi, Asma Habib. Frequency adaptive digital filters: Two case studies. Ottawa: National Library of Canada, 2004.

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3

Ozin, Linda. Age differences in the shape of spatial frequency filters. Ottawa: National Library of Canada, 1994.

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4

Pavan, Shanthi. High frequency continuous time filters in digital CMOS processes. Boston: Kluwer Academic Publishers, 2000.

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5

Pavan, Shanthi. High frequency continuous time filters in digital CMOS processes. New York: Kluwer Academic Publishers, 2002.

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6

Yannis, Tsividis, ed. High frequency continuous time filters in digital CMOS processes. Boston: Kluwer Academic Publishers, 2000.

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7

R, Kumar. Optimum filters and smoothers design for carrier phase and frequency tracking. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1987.

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8

Willingham, Scott D. Integrated Video-Frequency Continuous-Time Filters: High-Performance Realizations in BiCMOS. Boston, MA: Springer US, 1995.

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9

Willingham, Scott D. Integrated video-frequency continuous-time filters: High-performance realizations in BiCMOS. Boston: Kluwer Academic Publishers, 1995.

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10

Converter and filter circuits. Boston: Newnes, 1996.

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11

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

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12

Blinchikoff, Herman J. Filtering in the time and frequency domains. Malabar, Fla: R.E. Krieger Pub. Co., 1987.

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13

Blinchikoff, Herman J. Filtering in the time and frequency domains. Atlanta, GA: Noble Pub., 2001.

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14

Time-frequency analysis and synthesis of linear signal spaces: Time-frequency filters, signal detection and estimation, and range-Doppler estimation. Boston: Kluwer Academic Publishers, 1998.

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15

Hlawatsch, F. Time-Frequency Analysis and Synthesis of Linear Signal Spaces: Time-Frequency Filters, Signal Detection and Estimation, and Range-Doppler Estimation. Boston, MA: Springer US, 1998.

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16

K, Wang R., ed. Frequency domain filtering strategies for hybrid optical information processing. Taunton, Somerset, England: Research Studies Press, 1996.

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17

Marouchos, C. C. The switching function: Analysis of power electronic circuits. Stevenage: Institution of Electrical Engineers, 2005.

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18

Marouchos, Christos. The switching function: Analysis of power electronic circuits. London: Institution of Electrical Engineers, 2006.

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19

Woon-Seng, Gan, and Kuo Sen M, eds. Subband adaptive filtering: Theory and implementation. Hoboken, N.J: J. Wiley, 2009.

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20

Mertins, Alfred. Signal analysis: Wavelets, filter banks, time-frequency transforms, and applications. Chichester, West Sussex, England: J. Wiley, 1999.

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21

Soltani, Faouzi. FIR filter design by nonuniform sampling in the time and frequency domain. Birmingham: University of Birmingham, 1989.

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22

Üner, Muhittin. Frequency, amplitude, and phase tracking of nonsinusoidal signal in noise with extended Kalman filter. Monterey, Calif: Naval Postgraduate School, 1991.

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23

Gerber, Eduard A. Precision Frequency Control: Acoustic Resonators and Filters. Academic Pr, 1985.

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24

Gerber, Eduard A. Precision Frequency Control: Acoustic Resonators and Filters. Academic Pr, 1985.

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25

Yichuang, Sun, and Institution of Electrical Engineers, eds. Design of high frequency integrated analogue filters. London: Institution of Electrical Engineers, 2002.

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26

Tsividis, Yannis, and Shanthi Pavan. High Frequency Continuous Time Filters in Digital CMOS. Springer, 2000.

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27

Tsividis, Yannis, and Shanthi Pavan. High Frequency Continuous Time Filters in Digital CMOS Processes. Springer, 2013.

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28

High Frequency Continuous Time Filters in Digital CMOS Processes. Boston: Kluwer Academic Publishers, 2002. http://dx.doi.org/10.1007/b117116.

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29

Tsividis, Yannis, and Shanthi Pavan. High Frequency Continuous Time Filters in Digital CMOS Processes. Springer, 2013.

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30

M, Saenz Eileen, and NASA Glenn Research Center, eds. Fixed-frequency and frequency-agile (Au, HTS) microstrip bandstop filters for L-band applications. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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31

Fixed-frequency and frequency-agile (Au, HTS) microstrip bandstop filters for L-band applications. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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32

M, Saenz Eileen, and NASA Glenn Research Center, eds. Fixed-frequency and frequency-agile (Au, HTS) microstrip bandstop filters for L-band applications. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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33

M, Saenz Eileen, and NASA Glenn Research Center, eds. Fixed-frequency and frequency-agile (Au, HTS) microstrip bandstop filters for L-band applications. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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34

Rozwod, William J. Frequency-sampling design of two-dimensional FIR digital filters with nonuniform samples. 1987.

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35

O'Carroll, A. P. A study of the higher-frequency performance of operational-amplifier analogue filters. Bradford, 1986.

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36

Chu, Yiren. A digitally programmable adaptive high-frequency CMOS continuous-time filter. 1994.

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37

Sun, Yichuang. Design of High Frequency Integrated Analogue Filters (Iee Circuits, Devices and Systems Series, 14). Institution of Electrical Engineers, 2002.

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38

Jarry, Pierre, and Jacques N. Beneat. Microwave Amplifier and Active Circuit Design Using the Real Frequency Technique. Wiley-Interscience, 2016.

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39

Jarry, Pierre, and Jacques N. Beneat. Microwave Amplifier and Active Circuit Design Using the Real Frequency Technique. Wiley & Sons, Incorporated, John, 2016.

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40

Jarry, Pierre, and Jacques N. Beneat. Microwave Amplifier and Active Circuit Design Using the Real Frequency Technique. Wiley & Sons, Incorporated, John, 2016.

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41

The Switching Function (Circuits, Devices and Systems) (Circuits, Devices and Systems). Institution of Engineering and Technology, 2006.

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42

United States. National Aeronautics and Space Administration., ed. Canonical signed digit study. [Washington, DC]: National Aeronautics and Space Administration, 1996.

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43

Gan, Woon-Seng, Sen M. Kuo, and Kong-Aik Lee. Subband Adaptive Filtering: Theory and Implementation. Wiley & Sons, Incorporated, John, 2009.

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44

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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Abstract:
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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45

Integration Of Passive Rf Front End Components In Socs. Cambridge University Press, 2013.

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46

Kliger, Alan S., and Rita Suri. Frequent haemodialysis. Edited by Jonathan Himmelfarb. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0262_update_001.

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Haemodialysis is a renal replacement treatment, an ‘artificial kidney’ that performs some of the functions of the normal kidney. It is an inelegant device, providing only a fraction of native kidney’s ability to filter toxins from the blood, but with none of the responsiveness to volume, fine feedback control to regulate solute concentrations, or endocrine functions of the healthy organ. Conventional haemodialysis performed three times a week for 4 hours per treatment filters the blood for only 12 of 168 hours each week, and removes less than 10 per cent of small solutes like urea than does the normal kidney. It is therefore not surprising that haemodialysis patients suffer high morbidity and mortality. A dialysis patient’s expected remaining lifetime is substantially shorter than a comparable person with normal kidney function. For example, a woman aged 40–44 years old in the general population can expect on average 40 more years of life, but if she is on dialysis her life expectancy is only 8.1 years. She is also more likely to have co-morbid disease, including hypertension, cardiovascular disease, metabolic bone disease, anaemia, sepsis, depression, malnutrition and inflammation, and physical and cognitive impairment.
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47

Goberdhansingh, Errol. Frequency domain identification and control using the frequency sampling filter model. 1994.

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48

1938-, Huijsing Johan H., Plassche Rudy van de, Sansen Willy M. C, and Workshop of Advances in Analogue Circuit Design (7th : 1998 Copenhagen, Denmark), eds. Analog circuit design: Volt electronics, mixed-mode systems, low-noise and RF power amplifiers for telecommunication. Boston, Mass: Kluwer Academic Publishers, 1999.

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49

(Editor), Johan H. Huijsing, Rudy J. van de Plassche (Editor), and Willy M.C. Sansen (Editor), eds. Analog Circuit Design: Volt Electronics; Mixed-Mode Systems; Low-Noise and RF Power Amplifiers for Telecommunication. Springer, 1998.

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50

Monty, Andro, Vanderaar Mark J, and NASA Glenn Research Center, eds. An OFDM system using polyphase filter and DFT architecture for very high data rate applications. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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