Academic literature on the topic 'Signal conditioning'

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Journal articles on the topic "Signal conditioning"

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Frey, Douglas R. "Signal conditioning circuit for compressing audio signals." Journal of the Acoustical Society of America 103, no. 1 (January 1998): 17. http://dx.doi.org/10.1121/1.423132.

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Patel, Vandana, and Ankit Shah. "A signal conditioning module for denoising Electrocardiogram signals." Transactions on Energy Systems and Engineering Applications 4, no. 1 (June 15, 2023): 56–67. http://dx.doi.org/10.32397/tesea.vol4.n1.506.

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In this work, we propose to use an optimal multiband filter with least mean square algorithm to design a signal conditioning module for denoising Electrocardiogram (ECG) signals contaminated with predominant noises. The module is implemented on a Field Programmable Gate Array (FPGA) hardware. The experimental results of the proposed module are investigated and compared using an ECGID database available on Physionet. Quantitative and qualitative analysis is performed using Signal to Noise Ratio (SNR), Mean Square Error (MSE), and quality indexes to assess the effectiveness of the module. The average values of SNR are 10.90124, and MSE is 0.001761, indicating the successful elimination of noises in the filtered ECG signal using the proposed module. The signal quality indexes also demonstrate that the relevant information for diagnosing cardiac functionality is preserved. Furthermore, the performance of the designed module is tested on ECG signals obtained from electrodes placed on the human body. The Spartan 3s500efg320-5 FPGA device is employed to implement the filter design module using the partial serial architecture.
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Schmalzel, J. L., and D. A. Rauth. "Sensors and signal conditioning." IEEE Instrumentation & Measurement Magazine 8, no. 2 (June 2005): 48–53. http://dx.doi.org/10.1109/mim.2005.1438844.

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Regtien, P. P. L. "Sensors and signal conditioning." Sensors and Actuators A: Physical 35, no. 2 (December 1992): 165–66. http://dx.doi.org/10.1016/0924-4247(92)80157-x.

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Turner, Brian. "Future proof signal conditioning." Sensor Review 22, no. 3 (September 2002): 207–12. http://dx.doi.org/10.1108/02602280210433034.

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Finkel, Alan, and Richard Bookman. "Principles of Signal Conditioning." Current Protocols in Neuroscience 00, no. 1 (September 1997): 6.2.1–6.2.15. http://dx.doi.org/10.1002/0471142301.ns0602s00.

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Wang, Er Lie, Hui Yan Chen, Gang Tao, and Yu Hui Hu. "Study on Data Acquisition for Heavy Off-Road Vehicle AT Testing." Applied Mechanics and Materials 155-156 (February 2012): 765–69. http://dx.doi.org/10.4028/www.scientific.net/amm.155-156.765.

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Based on the analysis of the testing automatic transmission (AT), the AT’s solenoid valve control signals conditioning circuits and revolving speed F/V converter conditioning circuits are designed, and the data acquisition system is designed based on virtual instrument. The system is composed of the PCI-6024E data acquisition card, signal conditioning circuits and computer, and the acquisition procedure is programmed in graphical language LabVIEW. Finally, the data acquisition system has been verified on vehicle test bench which loads ZF-Ecomat 6HP500 AT. Controlling signals of switching solenoid valves, duty cycle signal of proportional solenoid valve, accelerator aperture signal, oil pressure signals and speed signals are collected, it turns out that the data acquisition system has good feasibility.
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Lei, Yang. "Array Sensor Output Signal Detection System Signal Conditioning Circuit Design." Journal of Physics: Conference Series 2452, no. 1 (March 1, 2023): 012033. http://dx.doi.org/10.1088/1742-6596/2452/1/012033.

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Abstract The signal output by the array sensor is generally very weak, with a large dynamic range and a wide range of signal frequencies. In order to solve the problem of accurate measurement of weak signals with wide frequency and large dynamic range, this paper proposes a design method of sub-band filtering and variable gain amplifying circuit based on the analog switch, divides the signal into four frequency bands, and designs four groups of second-order voltage control filter, and adjust the magnification for different frequency signals, and only need to switch the corresponding resistance and capacitance to realize the switching of signal processing circuits of different frequency bands, which greatly optimizes the circuit structure. In order to reduce the interference in the transmission process, a single-ended differential circuit is designed to transmit the processed signal to the subsequent acquisition system for acquisition. After the simulation test, the signal conditioning circuit can effectively improve the signal-to-noise ratio of the detection signal and improve the measurement accuracy.
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Carneiro, Mirella, Victor Oliveira, Fernanda Oliveira, Marco Teixeira, and Milena Pinto. "Simulation Analysis of Signal Conditioning Circuits for Plants’ Electrical Signals." Technologies 10, no. 6 (November 25, 2022): 121. http://dx.doi.org/10.3390/technologies10060121.

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Electrical signals are generated and transmitted through plants in response to stimuli caused by external environment factors, such as touching, luminosity, and leaf burning. By analyzing a specific plant’s electrical responses, it is possible to interpret the impact of external aspects in the plasma membrane potential and, thus, determine the cause of the electrical signal. Moreover, these signals permit the whole plant structure to be informed almost instantaneously. This work presents a brief discussion of plants electrophysiology theory and low-cost signal conditioning circuits, which are necessary for the acquisition of plants’ electrical signals. Two signal conditioning circuits, which must be chosen depending on the signal to be measured, are explained in detail and electrical simulation results, performed in OrCAD Capture Software are presented. Furthermore, Monte Carlo simulations were performed to evaluate the impact of components variations on the accuracy and efficiency of the signal conditioning circuits. Those simulations showed that, even after possible component variations, the filters’ cut-off frequencies had at most 4% variation from the mean.
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Thakur, Diksha, Kulbhushan Sharma, Sonal Kapila, and Rajnish Sharma. "Ultra-low power signal conditioning system for effective biopotential signal recording." Journal of Micromechanics and Microengineering 31, no. 12 (November 15, 2021): 124005. http://dx.doi.org/10.1088/1361-6439/ac3465.

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Abstract Design of Low-power signal conditioning system comprising of biopotential amplifier (BPA) and low pass Filter (LPF) remains one of the most critical block of system on chips (SoCs) targeted for wearable non-invasive and semi-invasive biomedical applications like electroencephalography and electrocorticography. Design of the same is a challenging task owing to noise-power trade-off in BPA and dependency of process voltage and temperature variations on the filter circuit. We report the design of a signal conditioning system comprising of a capacitively coupled capacitive feedback (CC-CF) BPA and composite p-channel metal oxide semiconductor (PMOS) based complementary source-follower LPF. The results obtained in Cadence with standard 0.18 µm technology and BSIM3V3 MOS models for the proposed signal conditioning system provide a DC-gain value of 36.76 dB, bandwidth of 280 mHz–174 Hz, power consumption of 24.54 µW, supply current of 24.54 µA, area consumption of 0.212826 mm2 from ± 0.5 V supply voltage. Robustness of this signal conditioning system has been checked by performing 200 runs of monte carlo simulations. The statistical results obtained for gain of (CC-CF) BPA, complementary source follower (CSF-C) LPF and signal conditioning system show mean (µ) values of 39.93 dB, −3.92 dB and 35.96 dB as well as standard deviation ( σ ) of 135.433 mdB, 1.90 dB, and 2.00 dB respectively. The CC-CF BPA architecture, CSF-C LPF and complete signal conditioning system are expected to be used in SoCs targeted for various low-power biomedical applications.
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Dissertations / Theses on the topic "Signal conditioning"

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Valero, Daniel. "Wireless Signal Conditioning." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc862776/.

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This thesis presents a new approach to extend and reduce the transmission range in wireless systems. Conditioning is defined as purposeful electromagnetic interference that affects a wireless signal as it propagates through the air. This interference can be used constructively to enhance a signal and increase its energy, or destructively to reduce energy. The constraints and limitations of the technology are described as a system model, and a flow chart is used to describe the circuit process. Remaining theoretical in nature, practical circuit implementations are foregone in the interest of elementary simulations depicting the interactions of modulated signals as they experience phase mismatch. Amplitude modulation and frequency modulation are explored with using both positive and negative conditioning, and conclusions to whether one is more suitable than the other are made.
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Medelius, Pedro J., Carl Hallberg, William E. Larson, and Dean Becker. "The Universal Signal Conditioning Amplifier." International Foundation for Telemetering, 1994. http://hdl.handle.net/10150/611746.

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International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California
A state-of-the-art instrumentation amplifier capable of being used with most types of transducers has recently been developed at the Kennedy Space Center. This Universal Signal Conditioning Amplifier (USCA) can eliminate costly measurement setup time and troubleshooting, improve system reliability, and provide more accurate data than conventional amplifiers. The USCA can configure itself for maximum resolution and accuracy based on information read from a RAM chip attached to each transducer. Excitation voltages or currents are also automatically configured. The amplifier uses both analog and digital state-of-the-art technology with analog-to-digital conversion performed in the early stages to minimize errors introduced by offset and gain drifts in the analog components. A dynamic temperature compensation scheme has been designed to achieve and maintain 12-bit accuracy of the amplifier from 0 to 70E C. The digital signal processing section allows the implementation of digital filters up to 511th order. The amplifier can also perform real-time linearizations up to fourth order while processing data at a rate of 23,438 samples per second (23.438 kS/s). Both digital and analog outputs are available from the amplifier.
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Penharlow, David. "Signal Conditioning, the Next Generation." International Foundation for Telemetering, 1989. http://hdl.handle.net/10150/614701.

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International Telemetering Conference Proceedings / October 30-November 02, 1989 / Town & Country Hotel & Convention Center, San Diego, California
This paper describes the changes in signal conditioning techniques used on flight test programs in recent years. Improved sensors require improved signal conditioning. Advanced distributed data acquisition systems, used on major flight test programs, move the signal conditioning closer to the sensor for improved performance and reduced wiring throughout the vehicle. These distributed systems use digital communication between the master controller and the remote conditioning units for improved accuracy and noise immunity. This requires sample- and-hold amplifiers, analog-to-digital converters, and serial encoder/decoders to be located at the signal conditioning location. The changes in signal conditioning designs are driven by the sensors, the architecture of the data acquisition systems, and by vehicle designs (smaller aircraft, smaller missiles, composite structures, and hypervelocity vehicles). A look at the signal conditioning technology employed in many of these systems as well as what is anticipated in the future is described in this paper.
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Gould, Lee. "Digital signal conditioning on multiprocessor systems." Thesis, Durham University, 1992. http://etheses.dur.ac.uk/5965/.

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An important application area of modem computer systems is that of digital signal processing. This discipline is concerned with the analysis or modification of digitally represented signals, through the use of simple mathematical operations. A primary need of such systems is that of high data throughput. Although optimised programmable processors are available, system designers are now looking towards parallel processing to gain further performance increases. Such parallel systems may be easily constructed using the transputer family of processors. However, although these devices are comparatively easy to program, they possess a general von Neumann core and so are relatively inefficient at implementing digital signal processing algorithms. The power of the transputer lies in its ability to communicate effectively, not in its computational capability. The converse is true of specialised digital signal processors. These devices have been designed specifically to implement the type of small data intensive operations required by digital signal processing algorithms, but have not been designed to operate efficiently in a multiprocessor environment. This thesis examines the performance of both types of processors with reference to a common signal processing application, multichannel filtering. The transputer is examined in both uniprocessor and multiprocessor configurations, and its performance analysed. A theoretical model of program behaviour is developed, in order to assess the performance benefits of particular code structures and the effects of such parameters as data block size. The transputer implementation is contrasted with that of the Motorola DSP56001 digital signal processor. This device is found to be much more efficient at implementing such algorithms on a single device, but provides limited multiprocessor support. Using the conclusions of this assessment, a hybrid multiprocessor has been designed. This consists of a transputer controlling a number of signal processors, communicating through shared memory, separating tiie tasks of computation and communication. Forcing the transputer to communicate through shared memory causes problems, and these have been addressed. A theoretical performance model of the system has been produced. A small system has been constructed, and is currently running performance test software.
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Cirineo, Tony. "Doppler Video Signal Conditioning, Theory of Operation." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611417.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California
This paper describes some of the signal conditioning and processing circuits that were developed to reconstruct the doppler video signal from a radar receiver under test. The reconstructed doppler video signal is then digitized and put into a telemetry frame for transmission to a ground receiving station.
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Amprikidis, Michael. "Vibration sensing using piezoelectric devices and signal conditioning." Thesis, University of Manchester, 2004. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488086.

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Tate, Jeffrey J. "Automating Signal Conditioning Setup Through Integration with Sensor Information." International Foundation for Telemetering, 1997. http://hdl.handle.net/10150/607535.

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International Telemetering Conference Proceedings / October 27-30, 1997 / Riviera Hotel and Convention Center, Las Vegas, Nevada
Caterpillar Inc. has been testing construction and mining equipment using Computerized Analysis Vans for two decades. During our latest van upgrade, we chose to move to PCM/FM from FM/FM mainly to increase the channel count. We also replaced our old signal conditioning that used span and balance potentiometers with computer programmable signal conditioning. This new signal conditioning requires that the gain and balance point be calculated for every channel on each test. The formulas for these calculations depend on the sensor, the signal conditioning card used, and the test requirements. Due to the number and variety of machines tested at the Caterpillar Proving Grounds, these calculations needed to be automated. Using a few initial parameters and the information from our sensor calibration database, each channel’s balance point, gain, and expected slope are calculated. This system has increased productivity, accuracy, and consistency over manually calculating these parameters. This paper covers the sensor database, the calculated parameters and an overview of the way the system works.
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Byun, Albert Joon-Soo. "Analog signal conditioning design for a wireless data acquisition device." Connect to this title online, 2005. http://hdl.handle.net/1811/368.

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Thesis (Honors)--Ohio State University, 2005.
Title from first page of PDF file. Document formattted into pages: contains v, 28 p.; also includes graphics. Includes bibliographical references (p. 21-22). Available online via Ohio State University's Knowledge Bank.
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Lee, Jeffrey C. "Design Considerations for a Variable sample Rate Signal Conditioning Module." International Foundation for Telemetering, 2008. http://hdl.handle.net/10150/606212.

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ITC/USA 2008 Conference Proceedings / The Forty-Fourth Annual International Telemetering Conference and Technical Exhibition / October 27-30, 2008 / Town and Country Resort & Convention Center, San Diego, California
Modern telemetry systems require flexible sampling rates for analog signal conditioning within telemetry encoders in order to optimize mission formats for varying data acquisition needs and data rate constraints. Implementing a variable sample rate signal conditioning module for a telemetry encoder requires consideration of several possible architectural topologies that place different system requirements on data acquisition modules within the encoder in order to maintain adequate signal fidelity of sensor information. This paper focuses on the requirements, design considerations and tradeoffs associated with differing architectural topologies for implementing a variable sample rate signal conditioning module and the resulting implications on the encoder system's data acquisition units.
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Kozmin, Kirill. "Data acquisition and signal conditioning for low power measurement systems /." Luleå : EISLAB, Department of Computer Sience and Electrical Engineering, Luleå University of Technology, 2008. http://epubl.ltu.se/1402-1544/2008/42/.

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Books on the topic "Signal conditioning"

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Das, Apurba. Signal Conditioning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28818-0.

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Newby, B. W. G. Electronic signal conditioning. Oxford: Butterworth-Heinemann, 1994.

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1932-, Webster John G., ed. Sensors and signal conditioning. New York: Wiley, 1991.

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Larson, William E. Universal signal conditioning amplifier. [Washington, D.C: National Aeronautics and Space Administration, 1994.

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1932-, Webster John G., ed. Sensors and signal conditioning. 2nd ed. New York: Wiley, 2001.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Current loop signal conditioning: Practical applications. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1995.

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North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development., ed. Digital signal conditioning for flight test. Neuilly sur Seine, France: AGARD, 1991.

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North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Digital signal conditioning for flight test. Neuilly-sur-Seine: AGARD, 1991.

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Bever, G. A. Digital signal conditioning for flight test. Neuilly sur Seine: Agard, 1991.

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Veatch, Donald W. Analog signal conditioning for flight-test instrumentation. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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Book chapters on the topic "Signal conditioning"

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Taylor, H. Rosemary. "Signal conditioning." In Data Acquisition for Sensor Systems, 61–93. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-4905-2_4.

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Weik, Martin H. "signal conditioning." In Computer Science and Communications Dictionary, 1578. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17348.

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Turner, J. D. "Signal Conditioning." In Instrumentation for Engineers, 41–78. New York, NY: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-6300-2_3.

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Turner, J. D. "Signal Conditioning." In Instrumentation for Engineers, 41–78. London: Macmillan Education UK, 1988. http://dx.doi.org/10.1007/978-1-349-19508-4_3.

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Kazmer, David O. "Signal Conditioning." In Plastics Manufacturing Systems Engineering, 189–231. München: Carl Hanser Verlag GmbH & Co. KG, 2009. http://dx.doi.org/10.3139/9783446430143.007.

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Das, Apurba. "Preview and Introduction." In Signal Conditioning, 1–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28818-0_1.

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Das, Apurba. "Wavelets: Multi-Resolution Signal Processing." In Signal Conditioning, 243–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28818-0_10.

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Das, Apurba. "Steganography: Secret Data Hiding in Multimedia." In Signal Conditioning, 275–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28818-0_11.

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Das, Apurba. "Fourier Series." In Signal Conditioning, 23–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28818-0_2.

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Das, Apurba. "Fourier Transform." In Signal Conditioning, 51–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28818-0_3.

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Conference papers on the topic "Signal conditioning"

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Yang, Zhen. "PSD signal conditioning device." In 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/msmee-17.2017.198.

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Larson, William E., Carl G. Hallberg, and Pedro J. Medelius. "Universal signal conditioning amplifier." In SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, edited by Nona K. Minnifield. SPIE, 1994. http://dx.doi.org/10.1117/12.188820.

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Dimcev, V., D. Taskovski, Z. Kokolanski, D. Denic, D. Zivanovic, and M. Simic. "Signal conditioning for power quality." In 2011 11th International Conference on Electrical Power Quality and Utilisation - (EPQU). IEEE, 2011. http://dx.doi.org/10.1109/epqu.2011.6128809.

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Hernandez-Morales, A., M. T. Sanz-Pascual, L. Hernandez-Martinez, and S. Celma. "Novel low-frequency signal conditioning circuit." In 2011 European Conference on Circuit Theory and Design (ECCTD). IEEE, 2011. http://dx.doi.org/10.1109/ecctd.2011.6043315.

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Sorrentino, Romualdo, Michele Inverno, Cesare Constantin, and Francesco Fusco. "Signal conditioning technique for magnetoelastic sensors." In SPIE's 7th Annual International Symposium on Smart Structures and Materials, edited by Richard O. Claus and William B. Spillman, Jr. SPIE, 2000. http://dx.doi.org/10.1117/12.388131.

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Almeida, Cleber, Andrea Barretto, Luciano de Lacerda, Rodrigo Tutu, Valmiro Galvis, Julio Aguiar, and Joao Souza. "Generic integrated circuit for signal conditioning." In 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS). IEEE, 2013. http://dx.doi.org/10.1109/icecs.2013.6815428.

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Ma, Qiushuang, Chaoying Liu, and Zheying Song. "Signal Conditioning for Intelligent Pressure Transmitter." In 2013 6th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2013. http://dx.doi.org/10.1109/iscid.2013.140.

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Hall, A., J. Gaston, W. Wolde, S. Karna, E. Baker, M. Okada, Y. Wang, and B. Farouk. "Signal conditioning of carbon nanotube loudspeaker." In Third international workshop on thermoacoustics. Enschede: University of Twente, Faculty of Engineering Technology, Laboratory of Thermal Engineering, 2015. http://dx.doi.org/10.3990/2.282.

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Ghosh, Abhishek, and Sudhakar Pamarti. "Adaptive signal conditioning algorithms to enable wideband signal digitization." In ICC 2013 - 2013 IEEE International Conference on Communications. IEEE, 2013. http://dx.doi.org/10.1109/icc.2013.6655289.

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Mazurek, Gustaw. "Signal Conditioning for DAB-Illuminated Passive Radar." In 2021 Signal Processing Symposium (SPSympo). IEEE, 2021. http://dx.doi.org/10.1109/spsympo51155.2020.9593458.

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Reports on the topic "Signal conditioning"

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Larsen, Cory A. Signal conditioning circuitry design for instrumentation systems. Office of Scientific and Technical Information (OSTI), January 2012. http://dx.doi.org/10.2172/1034887.

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Gutman, M. J. Z-Grid Signal Conditioning System User's Guide and Technical Reference. Fort Belvoir, VA: Defense Technical Information Center, May 1989. http://dx.doi.org/10.21236/ada215122.

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Dabkowski, John. PR-200-005-R01 Testing of Polarized Potential Longitudinal Measurement System. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), March 1992. http://dx.doi.org/10.55274/r0011962.

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Describes a portable measurement system capable of holiday detection and the estimation of holiday polarized potentials. The unit consisting of a data logger and associated signal conditioning circuitry is housed in a man carried pack. A belt worn battery can power the unit for 8 to 10 hours.
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Beshouri, Greg, and Bob Goffin. PR-309-15209-R01 Evaluation of NSCR Specific Models for Use in CEPM. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 2019. http://dx.doi.org/10.55274/r0011554.

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This 2015 NSCR project continues NSCR research started in 2009 and continued in 2011 under ERLE 2c and combines it with OBD research started in 2008 and continued in 2011. The 2009 NSCR research concluded that downstream measurement of lambda, O2 and NOx are useful for understanding performance of the entire package and evaluating compliance status and diagnosing system problems. However, that research also concluded that advanced signal conditioning and algorithms are required for unambiguous diagnostics. It also concluded system diagnostics was complex and beyond the capabilities of typical technicians. The 2011 OBD project demonstrated that a model-based diagnostics approach could precisely detect and diagnose typical combustion faults on lean burn engines. This 2015 project will specifically test and demonstrate the effectiveness of model based NSCR diagnostics using upstream and downstream exhaust sensors and other typical sensor inputs.
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