Journal articles: 'Signal conditioning'

1

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

3

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

8

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

9

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

10

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

11

Ling, Yunzhi. "Design and implementation of an analog signal isolation conditioning circuit." Journal of Physics: Conference Series 2338, no. 1 (September 1, 2022): 012071. http://dx.doi.org/10.1088/1742-6596/2338/1/012071.

Full text

Abstract:

Abstract In control systems, external analog signals need to be converted into digital signals. When sampling external input analog signals, such as voltage or current, it is necessary to process the small analog signal amplification or large signal reduction to the digital signal that can be sampled normally by the ADC; at the same time, the complexity of the external environment will affect the accuracy of sampling, and the input and output isolation processing needs to be carried out. Therefore, in order to solve the problem of low sampling accuracy of analog signal ADC in complex environment, this paper proposes an analog signal isolation conditioning circuit, which can filter out the high-frequency noise in the input signal without affecting the rapid sampling of the ADC, and use two-stage operation amplification to perform gain and zero compensation processing, so that the conditioned signal has high accuracy, good linearity, and strong anti-interference ability, which meets the design requirements. Through functional and stress tests, the functional correctness and performance stability of the analog signal isolation conditioning circuit proposed in this paper are verified.

APA, Harvard, Vancouver, ISO, and other styles

12

Wei, Zifei. "Research on STM32-Based Signal Conditioning System Measurement System." Highlights in Science, Engineering and Technology 42 (April 7, 2023): 9–17. http://dx.doi.org/10.54097/hset.v42i.7050.

Full text

Abstract:

The measurement of the signal modulation system is a vital part of channel transmission signal technology, which has a very important position in the signal communication quality assurance system. With the development of radio communications in modern radio technology, the research of AM and FM signal modulation measurement methods has become an important element in this field of research. This research is a signal modulation system using an STM32F407 microcontroller as the control core. The hardware of the system is mainly composed of a coherent demodulation circuit system and a comparator judgment circuit system, and the coherent demodulation circuit system is divided into AM demodulation circuit system and an FM demodulation circuit system. The frequency of the input signal was measured by a comparator, and the frequency change was used to initially determine the signal type. In which the modulating signal of AM signal was obtained by DDS generating separate orthogonal sine and cosine signals with the input signal through a series of operations, while the FM signal was operated with the sine signal. Finally, the amplitude and frequency information of the FM signal was obtained through the comparator, and finally reduced to the modulating signal of the FM signal. Output demodulated signal, its signal waveform without obvious distortion apparent phenomenon. Promotes the prospect of using the calibration of AM and FM signal generators in the field of communication.

APA, Harvard, Vancouver, ISO, and other styles

13

Shaw, Brian M. "Book Review: Sensors and Signal Conditioning." International Journal of Electrical Engineering & Education 30, no. 1 (January 1993): 93–94. http://dx.doi.org/10.1177/002072099303000124.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Soedarto, Totok, and Taufiq Arif Setyanto. "Perancangan Signal Conditioning Untuk Sensor Piezoelectric." Wave: Jurnal Ilmiah Teknologi Maritim 6, no. 1 (January 24, 2019): 13–20. http://dx.doi.org/10.29122/jurnalwave.v6i1.3320.

Full text

Abstract:

Perancangan rangkaian interface atau signal conditioning untuk optimasi penggunaan sensor berbasis material piezoelectric mempunyai peranan sangat penting. Karena aplikasi-aplikasi dari material piezoelectrik sangatlah luas, mulai dari hal-hal yang menyangkut mainan anak-anak sampai dengan keperluan uji laboratorium bahkan sensor-sensor militer dan interfacing terhadap rangkaian elektronik sangatlah bergantung pada aplikasinya. Dalam banyak hal, material piezoelectric dapat secara langsung dihubungkan pada rangkaian elektronik tanpa pertimbangan memerlukan interface khusus. Namun demikian, untuk hal-hal tertentu masih dibutuhkan sebuah rangkaian interface, ada beberapa langkah yang harus dipertimbangkan dalam perancangan interface yang menyangkut topologi yang paling sesuai untuk aplikasi yang dibutuhkan. Pada makalah ini hanya dibahas tentang perancangan dan pembuatan signal conditioning untuk keperluan pengujian di lab Hidrodinamika.

APA, Harvard, Vancouver, ISO, and other styles

15

Pelegrí Sebastiá, José, Jorge Alberola Lluch, and J. Rafael Lajara Vizcaíno. "Signal conditioning for GMR magnetic sensors." Sensors and Actuators A: Physical 137, no. 2 (July 2007): 230–35. http://dx.doi.org/10.1016/j.sna.2007.03.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Cunningham, Michael F., Marcelo K. Lenzi, Fabricio M. Silva, Enrique L. Lima, and José Carlos Pinto. "Low-Cost Thermocouple Signal-Conditioning Module." Journal of Chemical Education 82, no. 1 (January 2005): 122. http://dx.doi.org/10.1021/ed082p122.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Steyaert, M., and W. Sansen. "Low-power monolithic signal-conditioning system." IEEE Journal of Solid-State Circuits 25, no. 2 (April 1990): 609–12. http://dx.doi.org/10.1109/4.52190.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Sun, Yan, Kap Luk Chan, and Shankar Muthu Krishnan. "ECG signal conditioning by morphological filtering." Computers in Biology and Medicine 32, no. 6 (November 2002): 465–79. http://dx.doi.org/10.1016/s0010-4825(02)00034-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Huijsing, J. H. "Signal conditioning on the sensor chip." Sensors and Actuators 10, no. 3-4 (November 1986): 219–37. http://dx.doi.org/10.1016/0250-6874(86)80047-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Schmajuk, Nestor A. "Classical conditioning, signal detection, and evolution." Behavioural Processes 14, no. 3 (June 1987): 277–89. http://dx.doi.org/10.1016/0376-6357(87)90074-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Shellenberger, Richard O., and Paul Lewis. "Signal Control by Six Signals." Psychological Reports 63, no. 1 (August 1988): 311–18. http://dx.doi.org/10.2466/pr0.1988.63.1.311.

Full text

Abstract:

In previous signal-control experiments, several types of stimuli elicited pecking when paired with peck-contingent grain. Here, we compared the effectiveness of an auditory stimulus and five visual stimuli. For 12 pigeons, the first keypeck to follow the offset of a 4-sec. signal was reinforced with grain. We examined the following signals: a tone, a white keylight, a dark keylight, a keylight that changed from white to red, houselight onset, and houselight offset. All signals acquired strong control over responding. According to one measure, percent of signals with a peck, houselight offset showed less control than the others; according to another measure, pecking rate, the white keylight showed greater control than the others. In this experiment, we found that a wide variety of stimuli can elicit strong pecking in the signal-control procedure. The present findings increase the chances that in past conditioning experiments, some keypecks thought to be due to contingencies of reinforcement were in fact elicited.

APA, Harvard, Vancouver, ISO, and other styles

22

Saraporn, C., T. Dolwichai, J. Srisertpol, and K. Teeka. "Signal Conditioning of Low-Cost Gyroscope Using Kalman Filter and Nonlinear Least Square Method." Advanced Materials Research 622-623 (December 2012): 1519–23. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.1519.

Full text

Abstract:

Gyroscopes are important sensors in motion control in equipment such as airplanes, missiles and Segway. Low-cost gyroscopes have problems in signals such as bias, noise and scaling factor that decrease the efficiency of motion control. Therefore this paper is to present signal conditioning of low-cost gyroscopes using a Kalman filter to remove unwanted noise and nonlinear least square method to estimate parameters for compensation errors to the model by comparison with the encoder. The experimental results is shown that Kalman filter and nonlinear least square method can be used in signal conditioning of low-cost gyroscope for a more accurate signal.

APA, Harvard, Vancouver, ISO, and other styles

23

Goddard, Murray J. "Latent Inhibition of US Signal Value." Quarterly Journal of Experimental Psychology Section B 56, no. 2b (May 2003): 177–92. http://dx.doi.org/10.1080/02724990244000106.

Full text

Abstract:

Three experiments with rats examined the effects of preexposure to an unconditioned stimulus (US; a single food pellet) on the subsequent ability of that US to effectively signal the delivery of three food pellets during a US-US conditioning procedure. In Experiment 1, latent inhibition (LI) rats showed attenuated conditioning, compared to control (C) rats, when a single food pellet, delivered 10 minutes into a session, was followed by three additional pellets. In preexposure, one pellet had been delivered 10 minutes into each session (in group LI), or placed into the magazine at the beginning of each session (in group C). Experiment 2 showed that this effect was evident when the conditions of preexposure matched those of conditioning for group C, and Experiment 3 showed that the difference between groups LI and C was not a product of context conditioning, or latent inhibition to the noise of the feeder in group LI. Implications of these results for theories of latent inhibition are considered.

APA, Harvard, Vancouver, ISO, and other styles

24

Lan, Jin Hui, and Zhi Cheng Liu. "A Novel Noise Elimination Method for MEMS Sensor." Key Engineering Materials 483 (June 2011): 779–83. http://dx.doi.org/10.4028/www.scientific.net/kem.483.779.

Full text

Abstract:

It is inevitable that measured signals are contaminated with noise when MEMS sensor is used for an outdoor measurement. So the obtained signals need noise elimination, which is one of key technologies for signal conditioning. In this paper, a novel noise elimination method based on algorithm of blind source separation (BSS) for MEMS sensor is proposed to separate the source signals from the mixed signals with noises. The BSS algorithm based on maximum signal noise ratio (SNR) is a method of global optimal property, using the characteristic that SNR is maximal when statistically independent source signals are completely separated.The algorithm has a low computational complexity for instantaneous linear mixture signals. It is effective to acquire the source signals from the mixed signals with noises obtained by MEMS sensor,and is successfully verified by simulation experiment of BSS algorithm.The result of noise elimination experiment has achieved signal conditioning and eliminates ambient noises for MEMS sensor signals.

APA, Harvard, Vancouver, ISO, and other styles

25

Wang, Yong, Ji Fen Li, and Ying Zhang. "The Design of the Weak Signal Conditioning Circuit." Applied Mechanics and Materials 130-134 (October 2011): 2147–52. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.2147.

Full text

Abstract:

This paper describes the design of weak signal conditioning circuit. The amplitude of weak signal is very small and can easily be submerged by the noise, so when we choose the component for the circuit, in order to diminish the noise of the conditioning circuit, we choose a kind of low-noise operational amplifier for conditioning the signal. This circuit is applicable to the slow-varying direct current signal, even when the amplitude of the signal is dozens of microvolt, it still can work as normal.

APA, Harvard, Vancouver, ISO, and other styles

26

Pettinato, Sara, Marco Girolami, Maria Cristina Rossi, and Stefano Salvatori. "Accurate Signal Conditioning for Pulsed-Current Synchronous Measurements." Sensors 22, no. 14 (July 18, 2022): 5360. http://dx.doi.org/10.3390/s22145360.

Full text

Abstract:

This paper describes a compact electronic system employing a synchronous demodulation measurement method for the acquisition of pulsed-current signals. The fabricated prototype shows superior performance in terms of signal-to-noise ratio in comparison to conventional instrumentation performing free-running measurements, especially when extremely narrow pulses are concerned. It shows a reading error around 0.1% independently of the signal duty cycle (D) in the investigated D = 10−4–10−3 range. Conversely, high-precision electrometers display reading errors as high as 30% for a D = 10−4, which reduces to less than 1% only for D > 3 × 10−3. Field tests demonstrate that the developed front-end/readout electronics is particularly effective when coupled to dosimeters irradiated with the X-rays sourced by a medical linear accelerator. Therefore, it may surely be exploited for the real-time monitoring of the dosimeter output current, as required in modern radiotherapy techniques employing ultra-narrow pulses of high-energy photons or nuclear particles.

APA, Harvard, Vancouver, ISO, and other styles

27

Guo, Jun Jie, Li Rong Qiu, and Wei Qian Zhao. "Research of Precision Conditioning Circuit in Laser Differential Confocal Sensor." Applied Mechanics and Materials 241-244 (December 2012): 815–21. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.815.

Full text

Abstract:

Laser differential confocal sensor (LDCS) is a high precision and high integrated measurement system. In order to meet the demand of the LDCS, a novel implementation method of high precision conditioning circuit is studied. This circuit consists of photoelectric conversion, secondary amplification and signal operation. The photoelectric conversion is designed to detect the light intensity signal and transform it into a voltage signal. In order to adapt the test for different samples, the magnification is adjustable in secondary amplification unit. The two-way light intensity signals of the LDCS are differentially subtracted in signal operation unit. The noise characteristics of the photoelectric conversion unit were analyzed and the methods for decreasing noise were presented. The experimental results show that signal to noise ratio (SNR) of the conditioning circuit is better than 1160 and the sensitivity of LDCS reaches 2.168V/μm, which has the advantages of low noise, high stability and high integration and can widely used in many kinds of high precision photoelectric measurement systems.

APA, Harvard, Vancouver, ISO, and other styles

28

CRISTEA, D. G., M. E. BASCH, H. BEN-YOAV, V. TIPONUT, and Y. SHACHAM-DIAMAND. "Universal Signal Conditioning System for Amperometric Sensors." Advances in Electrical and Computer Engineering 12, no. 1 (2012): 19–24. http://dx.doi.org/10.4316/aece.2012.01004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Payo, Ismael, José L. Polo, Blanca López, Diana Serrano, Antonio M. Rodríguez, M. Antonia Herrero, Ana Martín-Pacheco, Inmaculada Sánchez, and Ester Vázquez. "Signal conditioning circuit for gel strain sensors." Smart Materials and Structures 31, no. 1 (November 25, 2021): 015020. http://dx.doi.org/10.1088/1361-665x/ac36e0.

Full text

Abstract:

Abstract Conductive hydrogels are soft materials which have been used by some researchers as resistive strain sensors in the last years. The electrical resistance change, when the sensor is stretched or compressed, is usually measured by the two-electrode method. This method is not always suitable to measure the electrical resistance of polymers-based materials, like hydrogels, because it could be highly influenced by the electrode/sample interface, as explained in this study. For this reason, a signal conditioning circuit, based on four-electrode impedance measurements, is proposed to measure the electrical resistance change when the gel is stretched or compressed. Experimental results show that the tested gels can be used as resistance force/pressure sensors with a quite linear behaviour.

APA, Harvard, Vancouver, ISO, and other styles

30

Davydova, E. K. "Movement as a signal during classical conditioning." Pavlovian Journal of Biological Science 23, no. 3 (July 1988): 95–101. http://dx.doi.org/10.1007/bf02701281.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Buckley, Raquel F., and Robert W. Heath. "Signal Conditioning for Selective OFDM SWIPT Systems." IEEE Open Journal of the Communications Society 2 (2021): 1886–900. http://dx.doi.org/10.1109/ojcoms.2021.3101010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Suranthiran, Sugathevan, and Suhada Jayasuriya. "Signal Conditioning With Memory-Less Nonlinear Sensors." Journal of Dynamic Systems, Measurement, and Control 126, no. 2 (June 1, 2004): 284–93. http://dx.doi.org/10.1115/1.1766030.

Full text

Abstract:

Proposed in this paper is an off-line signal conditioning scheme for memoryless nonlinear sensors. In most sensor designs, a linear input-output response is desired. However, nonlinearity is present in one form or another in almost all real sensors and therefore it is very difficult if not impossible to achieve a truly linear relationship. Often sensor nonlinearity is considered a disadvantage in sensory systems because it introduces distortion into the system. Due to the lack of efficient techniques to deal with the issues of sensor nonlinearity, primarily nonlinear sensors tend to be ignored. In this paper, it is shown that there are certain advantages of using nonlinear sensors and nonlinear distortion caused by sensor nonlinearity may be effectively compensated. A recursive algorithm utilizing certain characteristics of nonlinear sensor functions is proposed for the compensation of nonlinear distortion and sensor noise removal. A signal recovery algorithm that implements this idea is developed. Not having an accurate sensor model will result in errors and it is shown that the error can be minimized with a proper choice of a convergence accelerator whereby stability of the developed algorithm is established.

APA, Harvard, Vancouver, ISO, and other styles

33

Noble, Mike. "Digital Signal Conditioning in Solid‐State Altimeters." Aircraft Engineering and Aerospace Technology 58, no. 6 (June 1986): 2–4. http://dx.doi.org/10.1108/eb036296.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Zeeshan, Mohammad, Kashif Javed, Bharat Bhushan Sharma, and Shahzad Ahsan. "Signal conditioning of thermocouple using intelligent technique." Materials Today: Proceedings 4, no. 9 (2017): 10627–31. http://dx.doi.org/10.1016/j.matpr.2017.06.432.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Rahim, M. G., Biing-Hwang Juang, Wu Chou, and E. Buhrke. "Signal conditioning techniques for robust speech recognition." IEEE Signal Processing Letters 3, no. 4 (April 1996): 107–9. http://dx.doi.org/10.1109/97.489062.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Srinivas, K., W. Wolf, and A. Czajor. "Fuzzy Logic: Signal Conditioning for SO2 Sensor." IFAC Proceedings Volumes 27, no. 3 (June 1994): 223–28. http://dx.doi.org/10.1016/s1474-6670(17)46113-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

PÎSLARU-DĂNESCU, Lucian, Victor STOICA, and Gabriela TELIPAN. "Signal Conditioning provided by Sensitive Elements of Electric Bioimpedance Sensors." Electrotehnica, Electronica, Automatica 69, no. 1 (February 15, 2021): 51–58. http://dx.doi.org/10.46904/eea.21.69.1.1108007.

Full text

Abstract:

Dry polarizable electric bioimpedance sensors for ECG (electrocardiogram) monitoring requires the use of signal conditioning electronic circuits that take over alternating ΔU voltages with a frequency of 40 kHz and peak-to-peak amplitude in the range of 10-50 mV. The sensitive elements of these sensors are made of sensitive materials like as conductive polymer polypyrrole or hybrid nanocomposite with 10 and 20% Ag incorporated in the polypyrrole polymer. The useful signal is picked up in differential mode by an instrumentation amplifier. The gain of the instrumentation amplifier is set to A = 100 by connecting a single external resistor, RG. The problem of eliminating the mass loops and obtaining a common mode signal is solved by using an amplifier with galvanic isolation, with the amplification factor A = 1, supplied with double differential voltage. To reject any parasitic signals that may accompany the useful signal, an electronic bandpass filtering module is used. Electrical measurements were performed which showed the accuracy of the signal amplified by the electronic instrumentation amplifier module used in the "differential mode" connection.

APA, Harvard, Vancouver, ISO, and other styles

38

Huang, Song Ling, Fu Rong Zhu, Hong Xiu Zhu, Zheng Wei, and Shen Wang. "The Development of Rock Failure Electromagnetic Emission Monitoring System." Applied Mechanics and Materials 330 (June 2013): 401–6. http://dx.doi.org/10.4028/www.scientific.net/amm.330.401.

Full text

Abstract:

The research about electromagnetic emission (EME) during rock failure is very important to earthquake prediction and mine safety. A corresponding monitoring system has been developed according to the characteristics of EME signals during rock fracture, which include a wide frequency band and small amplitude of the inductive signals. The system is constituted by electromagnetic induction probe, signal-conditioning circuit and a computer for data acquisition. Among them, the electromagnetic induction probe can detect spatial magnetic field changes in a certain direction and convert it into electrical signals, the signal-conditioning circuit can magnify, filter and isolate signals acquired by the probe, and the computer for data acquisition is used for recording and displaying the detected signals. Several testing results have been achieved in rock failure experiments on marble that are carried out both by mechanical loading and expansion caused by chemical agents.

APA, Harvard, Vancouver, ISO, and other styles

39

YAMAZAKI, TADASHI, and SHIGERU TANAKA. "A NEURAL NETWORK MODEL FOR TRACE CONDITIONING." International Journal of Neural Systems 15, no. 01n02 (February 2005): 23–30. http://dx.doi.org/10.1142/s0129065705000037.

Full text

Abstract:

We studied the dynamics of a neural network that has both recurrent excitatory and random inhibitory connections. Neurons started to become active when a relatively weak transient excitatory signal was presented and the activity was sustained due to the recurrent excitatory connections. The sustained activity stopped when a strong transient signal was presented or when neurons were disinhibited. The random inhibitory connections modulated the activity patterns of neurons so that the patterns evolved without recurrence with time. Hence, a time passage between the onsets of the two transient signals was represented by the sequence of activity patterns. We then applied this model to represent the trace eyeblink conditioning, which is mediated by the hippocampus. We assumed this model as CA3 of the hippocampus and considered an output neuron corresponding to a neuron in CA1. The activity pattern of the output neuron was similar to that of CA1 neurons during trace eyeblink conditioning, which was experimentally observed.

APA, Harvard, Vancouver, ISO, and other styles

40

Cui, Hang, and Tarek Abdelzaher. "SenseLens: An Efficient Social Signal Conditioning System for True Event Detection." ACM Transactions on Sensor Networks 18, no. 2 (May 31, 2022): 1–27. http://dx.doi.org/10.1145/3485047.

Full text

Abstract:

This article narrows the gap between physical sensing systems that measure physical signals and social sensing systems that measure information signals by (i) defining a novel algorithm for extracting information signals (building on results from text embedding) and (ii) showing that it increases the accuracy of truth discovery—the separation of true information from false/manipulated one. The work is applied in the context of separating true and false facts on social media, such as Twitter and Reddit, where users post predominantly short microblogs. The new algorithm decides how to aggregate the signal across words in the microblog for purposes of clustering the miscroblogs in the latent information signal space, where it is easier to separate true and false posts. Although previous literature extensively studied the problem of short text embedding/representation, this article improves previous work in three important respects: (1) Our work constitutes unsupervised truth discovery, requiring no labeled input or prior training. (2) We propose a new distance metric for efficient short text similarity estimation, we call Semantic Subset Matching , that improves our ability to meaningfully cluster microblog posts in the latent information signal space. (3) We introduce an iterative framework that jointly improves miscroblog clustering and truth discovery. The evaluation shows that the approach improves the accuracy of truth-discovery by 6.3%, 2.5%, and 3.8% (constituting a 38.9%, 14.2%, and 18.7% reduction in error, respectively) in three real Twitter data traces.

APA, Harvard, Vancouver, ISO, and other styles

41

Yang, Lei. "Design of signal conditioning circuit at the output end of signal source based on AD9954." Journal of Physics: Conference Series 2174, no. 1 (January 1, 2022): 012015. http://dx.doi.org/10.1088/1742-6596/2174/1/012015.

Full text

Abstract:

Abstract The signal source based on DDS technology has the characteristics of high precision and high resolution, and is widely used in precision testing, instrumentation and other fields. However, interference signals such as high frequency harmonics and noise will inevitably appear in the output signal of the DDS chip, and even the sinusoidal signal generated by the DDS will be completely covered. This article takes ADI’s 14-bit high-precision DDS chip AD9954 as an example. I/V conversion and elliptic filter circuits are added to the output of the chip to obtain a pure sinusoidal signal. The rationality of the design is verified by multisim simulation software. This circuit provides strong support for the design and implementation of high-precision signal sources based on DDS.

APA, Harvard, Vancouver, ISO, and other styles

42

Ji, Xiao Dong, Zi Xian Yang, Xin Ying Zhao, Guang Hui Xue, and Miao Wu. "Design of Conditioning Circuit of Mining Vibration Acceleration Sensor." Applied Mechanics and Materials 433-435 (October 2013): 225–28. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.225.

Full text

Abstract:

In order to adapt to the harsh conditions of the coal mine, according to the MA Verified standards, we developed a set of vibration acceleration sensor signal conditioning circuit of mining, used for picking up vibration signal in the coal mine. The conditioning circuit solve the vibration signal of large equipment acquisition problems in coal mine, and lay a good foundation for the research of coal mine equipment vibration signal.

APA, Harvard, Vancouver, ISO, and other styles

43

Matsumoto, Masahiro, Satoshi Shimada, Fumio Murabayashi, Hiromichi Yamada, and Keiji Hanzawa. "Development of Signal Conditioning LSI using Digital Signal Processor for Pressure Sensor." IEEJ Transactions on Sensors and Micromachines 122, no. 3 (2002): 150–57. http://dx.doi.org/10.1541/ieejsmas.122.150.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Smirnov, Oleg, Evgeniy Bogatyrev, and Sergey Smolskiy. "Conditioning of digitally modulated signals backscattered from a tag to a reader." ITM Web of Conferences 30 (2019): 03010. http://dx.doi.org/10.1051/itmconf/20193003010.

Full text

Abstract:

Results of modeling of the signal passing through equivalent circuits with the time-varying parameter are given in this paper. Parameters of such circuits correspond to the reflection coefficient, which is necessary for modulation of the backscattered signal in the tag-to-reader line. The main idea of this research is developing a general description of conditioning of digitally modulated signals backscattered from a tag to a reader.

APA, Harvard, Vancouver, ISO, and other styles

45

Zhao, Xin Tong, Xiao Dong Lu, Wen Sheng Lu, Cheng Jun Jin, Xi Jun Zhang, and Guo Dong Zhang. "A Signal Conditioning Preposing Circuit for Portable Wheel Load Measure Plate." Applied Mechanics and Materials 274 (January 2013): 95–98. http://dx.doi.org/10.4028/www.scientific.net/amm.274.95.

Full text

Abstract:

Portable wheel loads measure plate is force sensor based on strain measure and it can bear multidimensional force simultaneously. It is able to recognize radial wheel load through decoupling. Signal conditioning of the sensor will affect the measure accuracy. There are many strain-gauges in the plate. So the signal of measure plate will include CM noise, thermal noise and high shift. The signal conditioning aimed at these disadvantages should be high gain, high accuracy, low noise, low shift, high CMRR. Multisim is adopted to analyze the signal conditioning including strain measure amplifying circuit, instrumentation amplifier AD620, operational amplifier OP07. It is turned out to be low linear distortion and is able to satisfy practical application through the experiment.

APA, Harvard, Vancouver, ISO, and other styles

46

Tirta, Iwan, and Romi Wiryadinata. "Signal Conditioning Test for Low-Cost Navigation Sensor." Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer 1, no. 1 (March 8, 2016): 30. http://dx.doi.org/10.36055/setrum.v1i1.471.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Mellinger, David K. "Conditioning for marine bioacoustic signal detection and classification." Journal of the Acoustical Society of America 133, no. 5 (May 2013): 3311. http://dx.doi.org/10.1121/1.4805504.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Sa, A. de. "Signal-conditioning integrated circuits for magnetic susceptibility measurements." Measurement Science and Technology 5, no. 1 (January 1, 1994): 55–57. http://dx.doi.org/10.1088/0957-0233/5/1/010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Palomba, Mirko, and Ernesto Limiti. "Microwave signal conditioning through non‐reciprocal phase shifting." IET Microwaves, Antennas & Propagation 7, no. 10 (July 2013): 809–18. http://dx.doi.org/10.1049/iet-map.2013.0082.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Bode, Mathias, Peter Hauptmann, Kalus Teske, and Frank-D. Weigel. "Adaptive signal conditioning for limiting-current type sensors." Sensors and Actuators B: Chemical 4, no. 3-4 (June 1991): 407–10. http://dx.doi.org/10.1016/0925-4005(91)80143-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Signal conditioning'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles