Current Search: Electric filters, Digital -- Design and construction (x)
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Title
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Discrete digital filter design for microelectromechanical systems (MEMS) accelerometers and gyroscopes.
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Creator
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Martin, Madison E., Harriet L. Wilkes Honors College
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Abstract/Description
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Microelectromechanical systems (MEMS) accelerometers and gyroscopes are small scale sensors that measure changes in linear acceleration and rotational velocity, respectively. They are fabricated using electronic circuit techniques such as etching and deposition. MEMS motion sensors can be used in an Inertial Measurement Unit (IMU) that can be integrated with the Global Positioning System (GPS) to make a navigation system that is more accurate than each system alone. However, since MEMS-based...
Show moreMicroelectromechanical systems (MEMS) accelerometers and gyroscopes are small scale sensors that measure changes in linear acceleration and rotational velocity, respectively. They are fabricated using electronic circuit techniques such as etching and deposition. MEMS motion sensors can be used in an Inertial Measurement Unit (IMU) that can be integrated with the Global Positioning System (GPS) to make a navigation system that is more accurate than each system alone. However, since MEMS-based IMUs are inherently noisy, we must overcome inaccuracies caused by the integration of random noise to find position. Accuracy can be increased by applying digital filters to the data before integration. Comparing the success of finite impulse response (FIR) filters and infinite impulse response (IIR) filters, we found that even though our highest order FIR filter yielded the most accurate position, it was limited by an offset bias in the accelerometer signal and a time delay in the determined position.
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Date Issued
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2010
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PURL
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http://purl.flvc.org/FAU/3335110
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Subject Headings
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Microelectromechanical systems, Design and construction, Signal processing, Digital techniques, Electric filters, Digital, Design and construction
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Format
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Document (PDF)
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Title
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Implementation of digital filters with LabVIEW.
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Creator
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Landrin, Thomas., Florida Atlantic University, Zilouchian, Ali, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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In this thesis, realization and implementation of one-dimensional (1-D) and two-dimensional (2-D) recursive digital filters using LabVIEW are presented. A number of direct and state-space realizations for 1-D filters are implemented either as in general form or second-order modules. Implementation programs are provided and simulation results are presented to show the effectiveness of the proposed method. In addition, several realizations for 2-D separable-in-denominator filters are proposed....
Show moreIn this thesis, realization and implementation of one-dimensional (1-D) and two-dimensional (2-D) recursive digital filters using LabVIEW are presented. A number of direct and state-space realizations for 1-D filters are implemented either as in general form or second-order modules. Implementation programs are provided and simulation results are presented to show the effectiveness of the proposed method. In addition, several realizations for 2-D separable-in-denominator filters are proposed. These realizations have the properties of highly parallel structure and improved throughput delay. The performance as well as the implementation of 2-D filters using LabVIEW is also presented.
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Date Issued
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2004
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PURL
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http://purl.flvc.org/fcla/dt/13183
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Subject Headings
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LabVIEW, Computer programming, Computer graphics, Electric filters, Digital--Design and construction, Recursive functions--Data processing, Signal processing--Digital techniques
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Format
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Document (PDF)
