Academic literature on the topic 'Signal devices'

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Journal articles on the topic "Signal devices"

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Li, Lian Tian. "The Research on Abnormal Signal Retrieval Methods for Differences Equipments under the Framework of Large-Scale Internet of Things." Advanced Materials Research 846-847 (November 2013): 1060–63. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1060.

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This paper proposes an abnormal signal retrieval method for differences equipments in Internet of Things (IOT) based on Signal Fusion Technology. It elaborates on the fusion rules for communication signal of underlying devices, according to which describes the conditions need to be met when abnormal signal of the underlying devices in IOT is fused. Laplace energy and weighting algorithm are adopted to fuse abnormal signals of the underlying multi-device in IOT in order to achieve fusion detection for abnormal signal. Experimental results show that the algorithm can greatly improve the efficiency of detecting abnormal signal.
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Bui, Ngoc-Thang, and Gyung-su Byun. "The Comparison Features of ECG Signal with Different Sampling Frequencies and Filter Methods for Real-Time Measurement." Symmetry 13, no. 8 (August 10, 2021): 1461. http://dx.doi.org/10.3390/sym13081461.

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Electrocardiogram (ECG) signals have been used to monitor and diagnose signs of cardiovascular disease and abnormal signals about the human body. ECG signals are typically characterized by the PR, QRS, QT interval, ST-segment, and heart rate (HR) parameters. ECG devices are widely used for many applications, especially for the elderly. However, ECG signals are often affected by noises from the environment. There are mainly two types of noises that affect the ECG signals: low frequencies from muscle activity and 50/60 Hz from the electrical grid. Removing these noises is important for improving the quality of the ECG signal. A clear ECG signal makes it easy to diagnose cardiovascular problems. ECG signals with high sampling frequency are more accurate. However, the noises in the signal will be more obvious and it will be difficult to remove these noises with filters. We analyzed the symmetrical correlation between the sampling frequency of the signal and the parameters of the signal such as signal to noise ratio (SNR) and signal amplitude. This study will compare characterization of ECG signals performed at different sampling frequencies before and after applying infinite impulse response (IIR) and symmetric finite impulse response (FIR) filters. Therefore, it is critical that the sampling frequency is consistent at the same frequency of the ECG signal for accurate diagnosis. Furthermore, the approach can be also important for the device to help reduce the device’s computing power and hardware resources. Our results were tested with the MIT/ BIH database at 360 Hz sampling frequency with 11-bit resolution. We also experimented with the device operating in real-time with a sampling frequency from 100 Hz to 2133 Hz and a 24-bit resolution. The test results show the advantages of the symmetric FIR filter over IIR when applied to the filtering of ECG signals. The study’s conclusions can be applied to real-world devices to improve the quality of ECG signals.
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Nimi W. S., P. Subha Hency Jose, and Jegan R. "Review on Reliable and Quality Wearable Healthcare Device (WHD)." International Journal of Reliable and Quality E-Healthcare 10, no. 4 (October 2021): 1–25. http://dx.doi.org/10.4018/ijrqeh.2021100101.

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This paper presents a brief review on present developments in wearable devices and their importance in healthcare networks. The state-of-the-art system architecture on wearable healthcare devices and their design techniques are reviewed and becomes an essential step towards developing a smart device for various biomedical applications which includes diseases classifications and detection, analyzing nature of the bio signals, vital parameters measurement, and e-health monitoring through noninvasive method. From the review on latest published research papers on medical wearable device and bio signal analysis, it can be concluded that it is more important and very essential to design and develop a smart wearable device in healthcare environment for quality signal acquisition and e-health monitoring which leads to effective measures of multiparameter extractions. This will help the medical practitioners to understand the nature of patient health condition easily by visualizing a quality signal by smart wearable devices.
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Kramer, Randall. "Testing Mixed-Signal Devices." IEEE Design & Test of Computers 4, no. 2 (1987): 12–20. http://dx.doi.org/10.1109/mdt.1987.295100.

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Efanov, D. V. "Fault-tolerant Structures of Digital Devices Based on Boolean Complement with the Calculations Checking by Sum Codes." Èlektronnoe modelirovanie 43, no. 5 (October 4, 2021): 21–42. http://dx.doi.org/10.15407/emodel.43.05.021.

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The article considers the construction of fault-tolerant digital devices and computing systems that does not use the principles of introducing modular redundancy. To correct the signals, a special distorted signal fixation unit, concurrent error-detection by the pre-selected redundant code circuit, as well as a signal correction block are used. The distorted signal fixation unit is implemented by the Boolean complement method, which makes it possible to design a large number of such blocks with different indicators of technical implementation complexity. When synthesizing a fault-tolerant device according to the proposed method, it is possible to organize a concurrent error-detection circuit for both the source device and the Boolean complement block in the structure of the distorted signal fixation unit. This makes it possible to choose among the variety of ways to implement fault-tolerant devices according to the proposed method, one that gives a device with the least structural redundancy. Various redundant codes can be used to organize concurrent error-detection circuits, including classical and modified sum codes. The author provides algorithms for the synthesis of distorted signal fixation unit and the Boolean complement block. The results of experimental researches with combinational benchmarks devices from the well-known LG’91 and MCNC Benchmarks sets are highlighted. The article presents the possibilities of the considered method for the organization of faulttolerant digital devices and computing systems.
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Nam, Sang Hun, Ji Yong Lee, and Jung Yoon Kim. "Biological-Signal-Based User-Interface System for Virtual-Reality Applications for Healthcare." Journal of Sensors 2018 (July 29, 2018): 1–10. http://dx.doi.org/10.1155/2018/9054758.

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Biosignal interfaces provide important data that reveal the physical status of a user, and they are used in the medical field for patient health status monitoring, medical automation, or rehabilitation services. Biosignals can be used in developing new contents, in conjunction with virtual reality, and are important factors for extracting user emotion or measuring user experience. A biological-signal-based user-interface system composed of sensor devices, a user-interface system, and an application that can extract biological-signal data from multiple biological-signal devices and be used by content developers was designed. A network-based protocol was used for unconstrained use of the device so that the biological signals can be freely received via USB, Bluetooth, WiFi, and an internal system module. A system that can extract biological-signal data from multiple biological-signal data and simultaneously extract and analyze the data from a virtual-reality-specific eye-tracking device was developed so that users who develop healthcare contents based on virtual-reality technology can easily use the biological signals.
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Jiang, Haoyu, Dongyu Li, and Lanfei Li. "Design of ECG Signal Generator Based on Motion Scene." Journal of Physics: Conference Series 2181, no. 1 (January 1, 2022): 012055. http://dx.doi.org/10.1088/1742-6596/2181/1/012055.

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Abstract With the normalization of cardiovascular diseases(CVD) in many countries, portable ECG monitoring devices have gradually become popular. However, since the current portable ECG monitoring equipment lacks a unified testing standard specification, a suitable calibration device is required for restraint. This research simulates a multi-state ECG signal generation system built using Arduino uno board for calibration of portable ECG monitoring devices. The system can generate human ECG signals of different intensities under different heart rates based on the operation of the host computer. The equipment has the advantages of simple, easy-to-use and low cost, and can be used as an ECG signal source for a portable ECG monitoring device in a simple laboratory environment.
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Smolarik, Lukas, Dusan Mudroncik, and Lubos Ondriga. "ECG Signal Processing." Advanced Materials Research 749 (August 2013): 394–400. http://dx.doi.org/10.4028/www.scientific.net/amr.749.394.

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Electrocardiography (ECG) is a diagnostic method that allows sensing and record the electric activity of heart [. The measurement of electrical activity is used as a standard twelve-point system. At each of these leads to measure the useful signal and interference was measured. The intensity of interference depends on the artefacts (electrical lines, brum, motion artefacts, muscle, interference from the environment, etc.). For correct evaluation of measured signal there is a need to processing the measured signal to suitable form. At present, the use of electrocardiograms with sensors with contact scanning are difficult to set a time so we decided to use the principle of non-contact sensing. Such a device to measure the ECG was constructed under the project. The disadvantage of such devices is a problem with a high level of noise, which degrades a useful signal. The aim of this article is to pre-process the signals obtained from non-contact sensing. The contactless devices are powered from the network and battery. The electrodes were connected by way of Eithoven bipolar leads. Signals were pre-treated with suitable filters so that they are also appropriate for their subsequent analysis. In the filtration ECG signals was used as a method of linear (low pass filter, high pass, IIR (Infinite Impulse Response) peak, notch filter. The results of many signals clearly demonstrate removing noise in the ECG signals to the point that is also suitable for their analysis.
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Lim, Seung-Min, Hyunjae Yoo, Min-Ah Oh, Seok Hee Han, Hae-Ryung Lee, Taek Dong Chung, Young-Chang Joo, and Jeong-Yun Sun. "Ion-to-ion amplification through an open-junction ionic diode." Proceedings of the National Academy of Sciences 116, no. 28 (June 20, 2019): 13807–15. http://dx.doi.org/10.1073/pnas.1903900116.

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As biological signals are mainly based on ion transport, the differences in signal carriers have become a major issue for the intimate communication between electrical devices and biological areas. In this respect, an ionic device which can directly interpret ionic signals from biological systems needs to be designed. Particularly, it is also required to amplify the ionic signals for effective signal processing, since the amount of ions acquired from biological systems is very small. Here, we report the signal amplification in ionic systems as well as sensing through the modified design of polyelectrolyte hydrogel-based ionic diodes. By designing an open-junction structure, ionic signals from the external environment can be directly transmitted to an ionic diode. Moreover, the minute ionic signals injected into the devices can also be amplified to a large amount of ions. The signal transduction mechanism of the ion-to-ion amplification is suggested and clearly verified by revealing the generation of breakdown ionic currents during an ion injection. Subsequently, various methods for enhancing the amplification are suggested.
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Serhiienko, S. P., V. G. Krizhanovski, D. V. Chernov, and L. V. Zagoruiko. "The use of non-steady state noise interferences to counteract passive eavesdropping devices." Radiotekhnika, no. 207 (December 24, 2021): 132–38. http://dx.doi.org/10.30837/rt.2021.4.207.14.

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The use of noise interference has become a common practice for information security. Recently appeared publications showing a potential possibility to use the noise radio frequency interference for information skimming by passive radio eavesdropping device. In particular, the vulnerability of the premises protected from eavesdropping devices is increased, if the radio frequency noising is switched on when confidential negotiations are being conducted. The use of radio noise waves energy for eavesdropping makes such devices invisible to nonlinear locators for listening devices if they activated only by noise signals. The paper shows that the use of non-steady state noise allows counteracting the unauthorized pickup of information. The analysis of non-steady state radio frequency noise effectiveness was carried out using the correlation receiver model. The correlation receiver has the highest sensitivity, and it works more efficiently with noise-like signals. It is shown that for counteracting the information pickup, it is necessary to use a noise, amplitude modulated by a random signal, whose spectrum coincides with a spectrum of a potential informational signal. Imposition a more powerful modulation noise to a weak informational signal makes impossible the information transfer. It is shown on the example of changing the power of a monochromatic signal while “beetle” transmits using steady-state and non-steady state noises, that due to the signal energy parametric redistribution over the non-steady-state noise modulation spectrum, the power of monochromatic signal is reduced by more than 10 dB compared to the transmission of the same signal using a steady-state noise. It can be concluded that the use of non-steady state noise signals for radio frequency suppression makes impossible their use for passive eavesdropping devices operation.
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Dissertations / Theses on the topic "Signal devices"

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Davison, Alan Stephen. "All-optical signal processing devices." Thesis, University of Cambridge, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316729.

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Taji, Bahareh. "Signal Quality Assessment in Wearable ECG Devices." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/38851.

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There is a current trend towards the use of wearable biomedical devices for the purpose of recording various biosignals, such as electrocardiograms (ECG). Wearable devices have different issues and challenges compared to nonwearable ones, including motion artifacts and contact characteristics related to body-conforming materials. Due to this susceptibility to noise and artifacts, signals acquired from wearable devices may lead to incorrect interpretations, including false alarms and misdiagnoses. This research addresses two challenges of wearable devices. First, it investigates the effect of applied pressure on biopotential electrodes that are in contact with the skin. The pressure affects skin–electrode impedance, which impacts the quality of the acquired signal. We propose a setup for measuring skin–electrode impedance during a sequence of applied calibrated pressures. The Cole–Cole impedance model is utilized to model the skin–electrode interface. Model parameters are extracted and compared in each state of measurement with respect to the amount of pressure applied. The results indicate that there is a large change in the magnitude of skin–electrode impedance when the pressure is applied for the first time, and slight changes in impedance are observed with successive application and release of pressure. Second, this research assesses the quality of ECG signals to reduce issues related to poor-quality signals, such as false alarms. We design an algorithm based on Deep Belief Networks (DBN) to distinguish clean from contaminated ECGs and validate it by applying real clean ECG signals taken from the MIT-BIH arrhythmia database of Physionet and contaminated signals with motion artifacts at varying signal-to-noise ratios (SNR). The results demonstrate that the algorithm can recognize clean from contaminated signals with an accuracy of 99.5% for signals with an SNR of -10 dB. Once low- and high-quality signals are separated, low-quality signals can undergo additional pre-processing to mitigate the contaminants, or they can simply be discarded. This approach is applied to reduce the false alarms caused by poor-quality ECG signals in atrial fibrillation (AFib) detection algorithms. We propose a signal quality gating system based on DBN and validate it with AFib signals taken from the MIT-BIH Atrial Fibrillation database of Physionet. Without gating, the AFib detection accuracy was 87% for clean ECGs, but it markedly decreased as the SNR decreased, with an accuracy of 58.7% at an SNR of -20 dB. With signal quality gating, the accuracy remained high for clean ECGs (87%) and increased for low SNR signals (81% for an SNR of -20 dB). Furthermore, since the desired level of quality is application dependent, we design a DBN-based algorithm to quantify the quality of ECG signals. Real ECG signals with various types of arrhythmias, contaminated with motion artifacts at several SNR levels, are thereby classified based on their SNRs. The results show that our algorithm can perform a multi-class classification with an accuracy of 99.4% for signals with an SNR of -20 dB and an accuracy of 91.2% for signals with an SNR of 10 dB.
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McGhee, Joseph. "Models, measures and signals : collected works in modelling, measurement science and technology and signal engineering." Thesis, University of Strathclyde, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248818.

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Atabaki, Amir Hossein. "Reconfigurable silicon photonic devices for optical signal processing." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41207.

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Processing of high-speed data using optical signals is a promising approach for tackling the bandwidth and speed challenges of today's electronics. Realization of complex optical signal processing functionalities seems more possible than any time before, thanks to the recent achievements in silicon photonics towards large-scale photonic integration. In this Ph.D. work, a novel thermal reconfiguration technology is proposed and experimentally demonstrated for silicon photonics that is compact, low-loss, low-power, fast, with a large tuning-range. These properties are all required for large-scale optical signal processing and had not been simultaneously achieved in a single device technology prior to this work. This device technology is applied to a new class of resonator-based devices for reconfigurable nonlinear optical signal processing. For the first time, we have demonstrated the possibility of resonance wavelength tuning of individual resonances and their coupling coefficients. Using this new device concept, we have demonstrated tunable wavelength-conversion through four-wave mixing in a resonator-based silicon device for the first time.
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Liu, Haibo. "SEED devices used in optical signal processing applications." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq25657.pdf.

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Penty, Richard Vincent. "Novel optical fibre Kerr devices for signal processing." Thesis, University of Cambridge, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.291606.

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McDougall, Robert Campbell. "Hybrid integration for all-optical signal processing devices." Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.614278.

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Drummond, Miguel Vidal. "Photonic devices for optical and RF signal processing." Doctoral thesis, Universidade de Aveiro, 2011. http://hdl.handle.net/10773/7562.

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Doutoramento em Engenharia Electrotécnica
O presente trabalho tem por objectivo o estudo de novos dispositivos fotónicos aplicados a sistemas de comunicações por fibra óptica e a sistemas de processamento de sinais RF. Os dispositivos apresentados baseiam-se em processamento de sinal linear e não linear. Dispositivos lineares ópticos tais como o interferómetro de Mach-Zehnder permitem adicionar sinais ópticos com pesos fixos ou sintonizáveis. Desta forma, este dispositivo pode ser usado respectivamente como um filtro óptico em amplitude com duas saídas complementares, ou, como um filtro óptico de resposta de fase sintonizável. O primeiro princípio de operação serve como base para um novo sistema fotónico de medição em tempo real da frequência de um sinal RF. O segundo princípio de operação é explorado num novo sistema fotónico de direccionamento do campo eléctrico radiado por um agregado de antenas, e também num novo compensador sintonizável de dispersão cromática. O processamento de sinal é não linear quando sinais ópticos são atrasados e posteriormente misturados entre si, em vez de serem linearmente adicionados. Este princípio de operação está por detrás da mistura de um sinal eléctrico com um sinal óptico, que por sua vez é a base de um novo sistema fotónico de medição em tempo real da frequência de um sinal RF. A mistura de sinais ópticos em meios não lineares permite uma operação eficiente numa grande largura espectral. Tal operação é usada para realizar conversão de comprimento de onda sintonizável. Um sinal óptico com multiplexagem no domínio temporal de elevada largura de banda é misturado com duas bombas ópticas não moduladas com base em processos não lineares paramétricos num guia de ondas de niobato de lítio com inversão periódica da polarização dos domínios ferroeléctricos. Noutro trabalho, uma bomba pulsada em que cada pulso tem um comprimento de onda sintonizável serve como base a um novo conversor de sinal óptico com multiplexagem no domínio temporal para um sinal óptico com multiplexagem no comprimento de onda. A bomba é misturada com o sinal óptico de entrada através de um processo não linear paramétrico numa fibra óptica com parâmetro não linear elevado. Todos os dispositivos fotónicos de processamento de sinal linear ou não linear propostos são experimentalmente validados. São também modelados teoricamente ou através de simulação, com a excepção dos que envolvem mistura de sinais ópticos. Uma análise qualitativa é suficiente nestes últimos dispositivos.
This work investigates novel photonic devices for optical fiber communication systems and microwave photonics. Such devices rely on linear and nonlinear optical signal processing. Basic linear optical devices such as the Mach-Zehnder delay interferometer enable delaying and adding optical signals with fixed or variable weights. Therefore, such device can be respectively used as an optical amplitude filter with two complementary optical outputs, or, as an optical phase filter with tunable group delay response. The first operation principle is explored in a novel instantaneous RF frequency measurement system, whereas the latter serves as basis to a novel photonic beamforming system for a phase array antenna, and also to a novel tunable optical dispersion compensator. Nonlinear optical signal processing is obtained when optical signals are delayed and mixed, instead of being linearly added. Such operation principle is behind electro-optical mixing, which is explored in a novel instantaneous RF frequency measurement system. All-optical mixing enables ultra-fast and thereby broad bandwidth operation. This operation principle is explored to obtain tunable wavelength conversion. An optical time division multiplexed signal with a large spectral width is parametrically mixed with two continuous wave pumps in a periodically-poled lithium niobate waveguide. Instead of continuous wave pumps, a pulsed pump in which each pulse has a tunable wavelength enables a novel routable optical time-to-wavelength division converter. The pump signal is parametrically mixed with the input optical signal in a highly nonlinear optical fiber. All the proposed linear and nonlinear optical signal processing devices are experimentally validated. In addition, theoretical modeling and simulations are presented in all concepts, with the exception of the ones which employ alloptical mixing. A qualitative analysis is sufficient for the latter devices.
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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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Howell, Mark John. "Signal processing for X ray spectroscopy." Thesis, Bangor University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361173.

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Books on the topic "Signal devices"

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Florida Advisory Council on Intergovernmental Relations. Railroad-highway signal devices. Tallahassee, Fla. (House Office Bldg., Tallahassee 32399-1300): Florida Advisory Council on Intergovernmental Relations, 1988.

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Colloquium on Digital Signal Processing Devices (1987 London). Colloquium on "Digital Signal Processing Devices". London: Institution of Electrical Engineers Computing and Control Division, 1987.

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Morgan, David P. Surface-wave devices for signal processing. 2nd ed. Amsterdam: Elsevier, 1991.

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Surface-wave devices for signal processing. Amsterdam: Elsevier, 1985.

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P, Morgan David. Surface-wave devices for signal processing. Amsterdam: Elsevier, 1985.

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Rybin, Yu K. Electronic Devices for Analog Signal Processing. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2205-7.

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Ishikawa, Hiroshi, ed. Ultrafast All-Optical Signal Processing Devices. Chichester, UK: John Wiley & Sons, Ltd, 2008. http://dx.doi.org/10.1002/9780470758694.

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Hiroshi, Ishikawa, ed. Ultrafast all-optical signal processing devices. Chichester, West Sussex, England: Wiley, 2008.

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B, Jones N., and Watson J. D. McK, eds. Digital signal processing: Principles, devices, and applications. London, U.K: P. Peregrinus Ltd. on behalf of the Institution of Electrical Engineers, 1990.

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Das, Pankaj K. Acousto-optic signal processing: Fundamentals & applications. Boston: Artech House, 1991.

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Book chapters on the topic "Signal devices"

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Grayver, Eugene. "Signal Processing Devices." In Implementing Software Defined Radio, 43–54. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-9332-8_5.

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Dragoman, Daniela, and Mircea Dragoman. "Optical Signal Multiplexing/Demultiplexing." In Advanced Optoelectronic Devices, 295–333. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03904-5_5.

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Dragoman, Daniela, and Mircea Dragoman. "Optical Signal Processing Devices." In Advanced Optoelectronic Devices, 335–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03904-5_6.

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Suhara, Toshiaki, and Masatoshi Fujimura. "Ultrafast Signal Processing Devices." In Springer Series in Photonics, 283–306. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-10872-7_11.

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Rybin, Yu K. "Signal Conditioners." In Electronic Devices for Analog Signal Processing, 211–29. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2205-7_7.

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Rockrohr, James Donald. "Signal Integrity." In High Speed Serdes Devices and Applications, 345–96. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-79834-9_8.

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Vidrih, Zlatko, and Eric Vezzoli. "Electrovibration Signal Design." In Haptics: Perception, Devices, Control, and Applications, 304–14. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42324-1_30.

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Wang, Z., and N. Verma. "Embedded Signal Analysis." In Circuit Design Considerations for Implantable Devices, 71–103. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337522-5.

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Binh, Le Nguyen. "Optical Devices for Photonic Signal Processing." In Photonic Signal Processing, 445–500. Second edition. | Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, [2019]: CRC Press, 2019. http://dx.doi.org/10.1201/9780429436994-10.

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Eargle, John. "Signal Processing Devices and Applications." In Handbook of Recording Engineering, 183–231. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-010-9366-8_6.

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Conference papers on the topic "Signal devices"

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Datta, Jayita, Sukanta Saha, Sayantan Chowdhury, and Aditya Acharya. "Development of an ECG signal acquisition module." In 2017 Devices for Integrated Circuit (DevIC). IEEE, 2017. http://dx.doi.org/10.1109/devic.2017.8073983.

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Chin, Wen-Long, and Ming-Ju Lu. "Signal Detection for Mobile Devices." In 2019 7th International Conference on Information and Communication Technology (ICoICT). IEEE, 2019. http://dx.doi.org/10.1109/icoict.2019.8835236.

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Dragoman, D., and M. Dragoman. "MEMS devices for signal processing." In SPIE Proceedings, edited by Ovidiu Iancu, Adrian Manea, Paul Schiopu, and Dan Cojoc. SPIE, 2005. http://dx.doi.org/10.1117/12.639707.

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Adzhiev, A. H., V. M. Goncharov, A. S. Tishchenko, O. V. Syrnik, and V. A. Soshenko. "Explosive devices of electromagnetic signal." In 2005 15th International Crimean Conference Microwave and Telecommunication Technology. IEEE, 2005. http://dx.doi.org/10.1109/crmico.2005.1565096.

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Maurya, Virendra Prasad, Prashant Kumar, and Suman Halder. "Optimisation and Classification of EMG signal using PSO-ANN." In 2019 Devices for Integrated Circuit (DevIC). IEEE, 2019. http://dx.doi.org/10.1109/devic.2019.8783882.

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Park, Seung-Ho, and Kyoung-Su Park. "Advance Monitoring of Blood Pressure and Respiratory Rate Using De-Noising Auto Encoder." In ASME 2021 30th Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/isps2021-65921.

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Abstract As the importance of continuous vital signs monitoring increases, the need for wearable devices to measure vital sign is increasing. In this study, the device is designed to measure blood pressure (BP), respiratory rate (RR), and heartrate (HR) with one sensor. The device is in earphone format and is manufactured as wireless type using Arduino-based bluetooth module. The device measures pulse signal in the Superficial temporal artery using Photoplethysmograghy (PPG) sensor. The device uses the Auto Encoder to remove noise caused by movement, etc., contained in the pulse signal. Extract the feature from the pulse signal and use them for the vital sign measurement. The device is measured using Slope transit time (STT) method for BP and Respiratory sinus arrhythmia (RSA) method for RR. Finally, the accuracy is determined by comparing the vital signs measured through the device with the reference vital signs measured simultaneously.
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Ukaegbu, Ikechi Augustine, Hyo-Hoon Park, Anel Poluektova, Aresh Dadlani, and Elochukwu Onyejegbu. "Signal and crosstalk analysis using optical convolution of transmitted optical signals." In Physics and Simulation of Optoelectronic Devices XXVII, edited by Marek Osiński, Yasuhiko Arakawa, and Bernd Witzigmann. SPIE, 2019. http://dx.doi.org/10.1117/12.2505099.

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Wei, Haiqing, Hwan J. Jeong, Aly F. Elrefaie, and David V. Plant. "Dispersion-induced signal distortion in cascaded OADMs." In Integrated Optoelectronics Devices, edited by Michel J. F. Digonnet. SPIE, 2003. http://dx.doi.org/10.1117/12.472897.

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"BIOSIGNAL ACQUISITION DEVICE - A Novel Topology for Wearable Signal Acquisition Devices." In International Conference on Bio-inspired Systems and Signal Processing. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001059703970402.

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Reichel, Kimberly S., Robert McKinney, Yasuaki Monnai, Nicholas J. Karl, Rajind Mendis, and Daniel M. Mittleman. "Waveguide Devices for Terahertz Signal Processing." In Latin America Optics and Photonics Conference. Washington, D.C.: OSA, 2016. http://dx.doi.org/10.1364/laop.2016.lw2b.1.

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Reports on the topic "Signal devices"

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Buhrman, Robert A., Daniel C. Ralph, Bill Rippard, Tom Silva, Stephen Russek, Stuart A. Wolf, Arthur W. Lichtenberger, II Weikle, Deaver Robert M., and Bascom S. High-Frequency Spin-Based Devices for Nanoscale Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, January 2009. http://dx.doi.org/10.21236/ada520629.

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Lee, Chi H., Julius Goldhar, and P. T. Ho. Optically Controlled Devices and Ultrafast Laser Sources for Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, February 1989. http://dx.doi.org/10.21236/ada208432.

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Schafer, Ronald W. Multidimensional Digital Signal Processing Optical Devices for Information Processing and Electromagnetic Analysis and Measurement. Fort Belvoir, VA: Defense Technical Information Center, July 1996. http://dx.doi.org/10.21236/ada384663.

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Elmgren, Karson, Ashwin Acharya, and Will Will Hunt. Superconductor Electronics Research. Center for Security and Emerging Technology, November 2021. http://dx.doi.org/10.51593/20210003.

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Devices based on superconductor electronics can achieve much higher energy efficiency than standard electronics. Research in superconductor electronics could advance a range of commercial and defense priorities, with potential applications for supercomputing, artificial intelligence, sensors, signal processing, and quantum computing. This brief identifies the countries most actively contributing to superconductor electronics research and assesses their relative competitiveness in terms of both research output and funding.
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Kuznetsov, Victor, Vladislav Litvinenko, Egor Bykov, and Vadim Lukin. A program for determining the area of the object entering the IR sensor grid, as well as determining the dynamic characteristics. Science and Innovation Center Publishing House, April 2021. http://dx.doi.org/10.12731/bykov.0415.15042021.

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Currently, to evaluate the dynamic characteristics of objects, quite a large number of devices are used in the form of chronographs, which consist of various optical, thermal and laser sensors. Among the problems of these devices, the following can be distinguished: the lack of recording of the received data; the inaccessibility of taking into account the trajectory of the object flying in the sensor area, as well as taking into consideration the trajectory of the object during the approach to the device frame. The signal received from the infrared sensors is recorded in a separate document in txt format, in the form of a table. When you turn to the document, data is read from the current position of the input data stream in the specified list by an argument in accordance with the given condition. As a result of reading the data, it forms an array that includes N number of columns. The array is constructed in a such way that the first column includes time values, and columns 2...N- the value of voltage . The algorithm uses cycles that perform the function of deleting array rows where there is a fact of exceeding the threshold value in more than two columns, as well as rows where the threshold level was not exceeded. The modified array is converted into two new arrays, each of which includes data from different sensor frames. An array with the coordinates of the centers of the sensor operation zones was created to apply the Pythagorean theorem in three-dimensional space, which is necessary for calculating the exact distance between the zones. The time is determined by the difference in the response of the first and second sensor frames. Knowing the path and time, we are able to calculate the exact speed of the object. For visualization, the oscillograms of each sensor channel were displayed, and a chronograph model was created. The chronograph model highlights in purple the area where the threshold has been exceeded.
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Pinto, J. G. Signal Processing Device to Control Microwave Output. Fort Belvoir, VA: Defense Technical Information Center, August 1989. http://dx.doi.org/10.21236/ada216931.

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Taylor, Oliver-Denzil, Amy Cunningham,, Robert Walker, Mihan McKenna, Kathryn Martin, and Pamela Kinnebrew. The behaviour of near-surface soils through ultrasonic near-surface inundation testing. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41826.

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Seismometers installed within the upper metre of the subsurface can experience significant variability in signal propagation and attenuation properties of observed arrivals due to meteorological events. For example, during rain events, both the time and frequency representations of observed seismic waveforms can be significantly altered, complicating potential automatic signal processing efforts. Historically, a lack of laboratory equipment to explicitly investigate the effects of active inundation on seismic wave properties in the near surface prevented recreation of the observed phenomena in a controlled environment. Presented herein is a new flow chamber designed specifically for near-surface seismic wave/fluid flow interaction phenomenology research, the ultrasonic near-surface inundation testing device and new vp-saturation and vs-saturation relationships due to the effects of matric suction on the soil fabric.
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Zhang, Yuancheng, Qian Song, and Shaowei He. Optical Logic and Signal Processing Using a Semiconductor Laser Diode-Based Optical Bistability Device,. Fort Belvoir, VA: Defense Technical Information Center, February 1995. http://dx.doi.org/10.21236/ada293248.

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Weinschenk, Craig, Daniel Madrzykowski, and Paul Courtney. Impact of Flashover Fire Conditions on Exposed Energized Electrical Cords and Cables. UL Firefighter Safety Research Institute, October 2019. http://dx.doi.org/10.54206/102376/hdmn5904.

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A set of experiments was conducted to expose different types of energized electrical cords for lamps, office equipment, and appliances to a developing room fire exposure. All of the cords were positioned on the floor and arranged in a manner to receive a similar thermal exposure. Six types of cords commonly used as power supply cords, extension cords, and as part of residential electrical wiring systems were chosen for the experiments. The non-metallic sheathed cables (NMB) typically found in residential electrical branch wiring were included to provide a link to previous research. The basic test design was to expose the six different types of cords, on the floor of a compartment to a growing fire to determine the conditions under which the cord would trip the circuit breaker and/or undergo an arc fault. All of the cords would be energized and installed on a non-combustible surface. Six cord types (18-2 SPT1, 16-3 SJTW, 12-2 NM-B, 12-3 NM-B, 18-3 SVT, 18-2 NISPT-2) and three types of circuit protection (Molded case circuit breaker (MCCB), combination Arc-fault circuit interrupter (AFCI), Ground-fault circuit interrupter (GFCI)) were exposed to six room-scale fires. The circuit protection was remote from the thermal exposure. The six room fires consisted of three replicate fires with two sofas as the main fuel source, two replicate fires with one sofa as the main fuel source and one fire with two sofas and MDF paneling on three walls in the room. Each fuel package was sufficient to support flashover conditions in the room and as a result, the impact on the cords and circuit protection was not significantly different. The average peak heat release rate of the sofa fueled compartment fires with gypsum board ceiling and walls was 6.8 MW. The addition of vinyl covered MDF wall paneling on three of the compartment walls increased the peak heat release rate to 12 MW, although most of the increased energy release occurred outside of the compartment opening. In each experiment during post flashover exposure, the insulation on the cords ignited and burned through, exposing bare conductor. During this period the circuits faulted. The circuit protection devices are not designed to provide thermal protection, and, thus, were installed remote from the fire. The devices operated as designed in all experiments. All of the circuit faults resulted in either a magnetic trip of the conventional circuit breaker or a ground-fault trip in the GFCI or AFCI capable circuit protection devices. Though not required by UL 1699, Standard for Safety for Arc-Fault Circuit-Interrupters as the solution for detection methodology, the AFCIs used had differential current detection. Examination of signal data showed that the only cord types that tripped with a fault to ground were the insulated conductors in non-metallic sheathed cables (12-2 NM-B and 12-3 NM-B). This was expected due to the bare grounding conductor present. Assessments of both the thermal exposure and physical damage to the cords did not reveal any correlation between the thermal exposure, cord damage, and trip type.
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Nuttall, Albert H. Detection Performance of Or-ing Device with Pre- and Post-Averaging: Part I - Random Signal. Fort Belvoir, VA: Defense Technical Information Center, July 1999. http://dx.doi.org/10.21236/ada370583.

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