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1

Taggart, Robert, and Louis Corsini. "Analog Devices, Inc." Journal of Business Research 58, no. 7 (July 2005): 967–80. http://dx.doi.org/10.1016/j.jbusres.2003.12.006.

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Li, Ning, Hsinyu Tsai, Vijay Narayanan, and Malte Rasch. "Impact of analog memory device failure on in-memory computing inference accuracy." APL Machine Learning 1, no. 1 (March 1, 2023): 016104. http://dx.doi.org/10.1063/5.0131797.

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In-memory computing using analog non-volatile memory (NVM) devices can improve the speed and reduce the latency of deep neural network (DNN) inference. It has been recently shown that neuromorphic crossbar arrays, where each weight is implemented using analog conductance values of phase-change memory devices, achieve competitive accuracy and high power efficiency. However, due to the large amount of NVMs needed and the challenge for making analog NVM devices, these chips typically include some failed devices from fabrication or developed over time. We study the impact of these failed devices on the analog in-memory computing accuracy for various networks. We show that larger networks with fewer reused layers are more tolerable to failed devices. Devices stuck at high resistance states are more tolerable than devices stuck at low resistance states. To improve the robustness of DNNs to defective devices, we develop training methods that add noise and corrupt devices in the weight matrices during network training and show that this can increase the network accuracy in the presence of the failed devices. We also provide estimated maximum defective device tolerance of some common networks.
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Rodríguez-Montañ, R., D. Muñoz, L. Balado, and J. Figueras. "Analog Switches in Programmable Analog Devices: Quiescent Defective Behaviours." Journal of Electronic Testing 20, no. 2 (April 2004): 143–53. http://dx.doi.org/10.1023/b:jett.0000023678.30564.66.

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4

Withers, R. S., and R. W. Ralston. "Superconductive analog signal processing devices." Proceedings of the IEEE 77, no. 8 (1989): 1247–63. http://dx.doi.org/10.1109/5.34123.

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5

Li, Bo, and Guoyong Shi. "A Native SPICE Implementation of Memristor Models for Simulation of Neuromorphic Analog Signal Processing Circuits." ACM Transactions on Design Automation of Electronic Systems 27, no. 1 (January 31, 2022): 1–24. http://dx.doi.org/10.1145/3474364.

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Since the memristor emerged as a programmable analog storage device, it has stimulated research on the design of analog/mixed-signal circuits with the memristor as the enabler of in-memory computation. Due to the difficulty in evaluating the circuit-level nonidealities of both memristors and CMOS devices, SPICE-accuracy simulation tools are necessary for perfecting the art of neuromorphic analog/mixed-signal circuit design. This article is dedicated to a native SPICE implementation of the memristor device models published in the open literature and develops case studies of applying such a circuit simulation with MOSFET models to study how device-level imperfections can make adversarial effects on the analog circuits that implement neuromorphic analog signal processing. Methods on memristor stamping in the framework of modified nodal analysis formulation are presented, and implementation results are reported. Furthermore, functional simulations on neuromorphic signal processing circuits including memristors and CMOS devices are carried out to validate the effectiveness of the native SPICE implementation of memristor models from the perspectives of simulation accuracy, efficiency, and convergence for large-scale simulation tasks.
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6

Kushwah, Ravindra Singh, and Shyam Akashe. "FinFET Based Tunable Analog Circuit: Design and Analysis at 45 nm Technology." Chinese Journal of Engineering 2013 (October 24, 2013): 1–8. http://dx.doi.org/10.1155/2013/165945.

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We included a designing of low power tunable analog circuits built using independently driven FinFETs devices, where the controlling of the back gate provide the output on the front gate. We show that this could be an effective solution to conveniently tune the output of bulk CMOS analog circuits particularly for Schmitt trigger and operational transconductance amplifier circuits. FinFET devices can be used to increase the performance by reducing the leakage current and power dissipation, because front and back gates both are independently controlled. FinFET device has a higher controllability, resulting relatively high Ion/Ioff ratio. In this paper, we proposed a tunable analog circuit such as CMOS amplifier circuit, Schmitt trigger circuit, and operational transconductance amplifier circuit, these circuit blocks are necessary for low noise high performance ICs for analog applications. Gain, phase, group delay, and output response of analog tunable circuits have been discussed in this paper. The proposed FinFET based analog tunable circuits have been designed using Cadence Virtuoso tool at 45 nm.
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7

Montoya, Jorge William. "From Analog Objects to Digital Devices." Philosophy Today 63, no. 3 (2019): 717–30. http://dx.doi.org/10.5840/philtoday2019115291.

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This article intends to establish a comparison between technical analog objects—which were the objects of the epoch when the French philosopher Gilbert Simondon elaborated his philosophical reflection—and digital devices that emerged in the last few decades of the 1900s. First, I define the main features of Simondon’s technical objects in order to understand what the necessary conditions are for there to be technical progress, which is based on what he called the process of concretization. Then, I analyze the relationship between digital objects—as understood by Yuk Hui—and digital devices that take over from analog objects, without necessarily presenting continuity in an evolutionary process. Finally, I intend to expose the role that both analog objects and digital devices play as mediators with the world in a digital era, and to address the question of technical culture nowadays.
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8

Wu, P. B. "Analog Circuits and Devices [Book Review]." IEEE Circuits and Devices Magazine 21, no. 5 (September 2005): 24. http://dx.doi.org/10.1109/mcd.2005.1517387.

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9

Miller, D. A. B. "Novel analog self-electrooptic-effect devices." IEEE Journal of Quantum Electronics 29, no. 2 (1993): 678–98. http://dx.doi.org/10.1109/3.199322.

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10

Tyler, Neil. "Analog Devices and First Sensor Collaborate." New Electronics 52, no. 13 (July 9, 2019): 9. http://dx.doi.org/10.12968/s0047-9624(22)61559-1.

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11

Mayergoyz, Isaak D., and Can E. Korman. "Preisach based storage devices and global optimizers." Mathematical Modelling of Natural Phenomena 15 (2020): 20. http://dx.doi.org/10.1051/mmnp/2019051.

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The Preisach model of hysteresis admits simple device realizations. It is suggested in the paper that these realizations can be utilized as unique data storage devices as well as analog global optimizers.
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12

Ulyashin, Aleksander, and Aleksander Velichko. "Comparative analysis of analog parameters signal multi-pliers by differential transistor pairs." Transaction of Scientific Papers of the Novosibirsk State Technical University, no. 1 (February 25, 2021): 21–41. http://dx.doi.org/10.17212/2307-6879-2021-1-21-41.

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This paper is devoted to the comparative analysis of modern integral variables. Today, a number of foreign companies, such as Texas Instruments and Analog Devices, produce analog signal multipliers (APS) in integrated design. Russian industry produces chips of the 525PS and 174HA series. Each manufacturer uses its own method of implementing the device. The main task of such devices is to calculate the current voltage, phase, exponential and transcendental functions. Wide applicability of APS in integrated design was found in devices for analog processing and conversion of signals of communication and radio equipment, in devices for automatic control of onboard and ground radio equipment. A very important characteristic of such equipment is the dynamic range. The dynamic range of the receiver is the range of input signal amplitudes that provide the required quality of reproduction of the received message. The lower limit of the dynamic range is determined by the level of internal noise or external interference in the device, and the upper limit is determined by the device's overload capacity. In this regard, manufacturers of multipliers are faced with the task of maximizing the voltage that can be applied to its inputs. The difficulty is that the upper limit of the dynamic range is set by non-linear distortions. The non-linearity of the multiplier is a component of the multiplication error and characterizes the limiting capabilities of the APS inputs. In this paper, a comparative analysis of the main types of integral multipliers offered on the market is carried out in order to identify the best construction method for achieving the value of the dynamic range of the multiplier in 90 dB with high multiplication accuracy, which will allow using such a multiplier in modern radio equipment.
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13

Aoki, Hitoshi, and Haruo Kobayashi. "A Typical MOSFET Modeling Procedure for RF Analog Circuit Design." Key Engineering Materials 698 (July 2016): 87–99. http://dx.doi.org/10.4028/www.scientific.net/kem.698.87.

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This paper presents a theoretical yet practical device targeting method to extract typical model parameters of MOSFET devices on wafer for RF analog integrated circuit design. This method employs skewing algorithms with model parameters of existing typical device which are selected by using inter-lot process electrical test parameters. Although this technique can be applied for both n-channel and p-channel MOSFETs, only n-channel devices could be prepared for our experiments in this research. To demonstrate the plausibility of this method, a cascode amplifier is designed to simulate frequency characteristic of S21 with this method.
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14

Cho, Youngboo, Jihyung Kim, Myounggon Kang, and Sungjun Kim. "Analog Resistive Switching and Artificial Synaptic Behavior of ITO/WOX/TaN Memristors." Materials 16, no. 4 (February 17, 2023): 1687. http://dx.doi.org/10.3390/ma16041687.

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In this work, we fabricated an ITO/WOX/TaN memristor device by reactive sputtering to investigate resistive switching and conduct analog resistive switching to implement artificial synaptic devices. The device showed good pulse endurance (104 cycles), a high on/off ratio (>10), and long retention (>104 s) at room temperature. The conduction mechanism could be explained by Schottky emission conduction. Further, the resistive switching characteristics were performed by additional pulse-signal-based experiments for more practical operation. Lastly, the potentiation/depression characteristics were examined for 10 cycles. The results thus indicate that the WOX-based devices are appropriate candidates for synaptic devices as well as next-generation nonvolatile memory.
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15

Cheng, Tiedong, Jingjing Rao, Xingui Tang, Lirong Yang, and Nan Liu. "Analog Memristive Characteristics and Conditioned Reflex Study Based on Au/ZnO/ITO Devices." Electronics 7, no. 8 (August 8, 2018): 141. http://dx.doi.org/10.3390/electronics7080141.

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As the fourth basic electronic component, the application fields of the memristive devices are diverse. The digital resistive switching with sudden resistance change is suitable for the applications of information storage, while the analog memristive devices with gradual resistance change are required in the neural system simulation. In this paper, a transparent device of ZnO films deposited by the magnetron sputtering on indium tin oxides (ITO) glass was firstly prepared and found to show typical analog memristive switching behaviors, including an I–V curve that exhibits a ‘pinched hysteresis loops’ fingerprint. The conductive mechanism of the device was discussed, and the LTspice model was built to emulate the pinched hysteresis loops of the I–V curve. Based on the LTspice model and the Pavlov training circuit, a conditioned reflex experiment has been successfully completed both in the computer simulation and the physical analog circuits. The prepared device also displayed synapses-like characteristics, in which resistance decreased and gradually stabilized with time under the excitation of a series of voltage pulse signals.
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16

Haryst, Andrii. "Creation of special technical means on the basis of SDR devices." Collection of Ukrainian Research Institute of Special Equipment and Forensic Expertise of the Security Service OF Ukraine, no. 1 (January 28, 2021): 65–71. http://dx.doi.org/10.54658/ssu.27097978.2021.1.pp.65-71.

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The article is devoted to the review of possibilities of creation of special technical means on the basis of SDR devices and principles of construction of transceiver devices which have a possibility of use at performance of various tasks and the purposes. The principles of construction of SDR devices and their features are considered in the article. When creating special hardware, the basic principle is a flexible architecture that can be changed with the help of software. This allows to organize communication between two or more different types of devices, for example, to switch between communication channels and change the type of modulation. When using SDR devices, it is possible to significantly simplify the technical part. The hardware platform can be quickly reprogrammed to support new communication and data exchange standards. Digital signal processing provides greater speed and it is easier to maintain than other analog systems. It is noted that the SDR receiver is a universal device that can combine the functions of various radio devices. Following the concept of SDR, the author concludes that the ideal SDR receiver should contain as few elements as possible, while an important factor in the use of SDR devices is the replacement of most analog components. It is emphasized that devices that are built on an analog element base have a much higher complexity of design than SDR devices and do not have the flexibility required in today’s conditions of rapid change in communication standards.
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17

Varnavas, Kosta. "Advanced Wireless Sensor Nodes - MSFC." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2017, DPC (January 1, 2017): 1–19. http://dx.doi.org/10.4071/2017dpc-ta3_presentation4.

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IMAPS Device Packaging Conference 2017 Engineered Micro Systems & Devices Track Advanced Wireless Sensor Nodes - MSFC Abstract Kosta Varnavas NASA / Marshall Space Flight Center NASA field center Marshall Space Flight Center (Huntsville, AL), has invested in advanced wireless sensor technology development. Developments for a wireless microcontroller back-end were primarily focused on the commercial Synapse Wireless family of devices. These devices have many useful features for NASA applications, good characteristics and the ability to be programmed Over-The-Air (OTA). The effort has focused on two widely used sensor types, mechanical strain gauges and thermal sensors. Mechanical strain gauges are used extensively in NASA structural testing and even on vehicle instrumentation systems. Additionally, thermal monitoring with many types of sensors is extensively used. These thermal sensors include thermocouples of all types, resistive temperature devices (RTDs), diodes and other thermal sensor types. The wireless thermal board will accommodate all of these types of sensor inputs to an analog front end. The analog front end on each of the sensors interfaces to the Synapse wireless microcontroller, based on the Atmel Atmega128 device. Once the analog sensor output data is digitized by the onboard analog to digital converter (A/D), the data is available for analysis, computation or transmission. Various hardware features allow custom embedded software to manage battery power to enhance battery life. This technology development fits nicely into using numerous additional sensor front ends, including some of the low-cost printed circuit board capacitive moisture content sensors currently being developed at Auburn University.
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18

West, Matthew P., Fabia F. Athena, Samuel Graham, and Eric M. Vogel. "Bias history impacts the analog resistance change of HfOx-based neuromorphic synapses." Applied Physics Letters 122, no. 6 (February 6, 2023): 063502. http://dx.doi.org/10.1063/5.0134461.

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Resistive random-access memory (RRAM) devices have been widely studied for neuromorphic, in-memory computing. One of the most studied RRAM structures consists of a titanium capping layer and a HfOx adaptive oxide. Although these devices show promise in improving neuromorphic circuits, high variability, non-linearity, and asymmetric resistance changes limit their usefulness. Many studies have improved linearity by changing materials in or around the device, the circuitry, or the analog bias conditions. However, the impact of prior biasing conditions on the observed analog resistance change is not well understood. Experimental results in this study demonstrate that prior higher reset voltages used after forming cause a greater resistance change during subsequent identical analog pulsing. A multiphysics finite element model suggests that this greater analog resistance change is due to a higher concentration of oxygen ions stored in the titanium capping layer with increasing magnitude of the reset voltage. This work suggests that local ion concentration variations in the titanium capping layer of just tens of atoms cause significant resistance variation during analog operation.
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19

Touloupas, Konstantinos, and Paul Peter Sotiriadis. "Mixed-Variable Bayesian Optimization for Analog Circuit Sizing through Device Representation Learning." Electronics 11, no. 19 (September 29, 2022): 3127. http://dx.doi.org/10.3390/electronics11193127.

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In this work, a deep representation learning method is proposed to build continuous-valued representations of individual integrated circuit (IC) devices. These representations are used to render mixed-variable analog circuit sizing problems as continuous ones and to apply a low-budget black box Bayesian optimization (BO) variant to solve them. By transforming the initial search spaces into continuous-valued ones, the BO’s Gaussian process models (GPs), which typically operate on real-valued spaces, can be used to guide the optimization search towards the global optimum. The proposed Device Representation Learning approach involves using device simulation data and training a composite model of a Variational Autoencoder (VAE) and a dense Neural Network. The latent variables of the trained VAE model serve as the representations of the integrated device and replace the discrete-valued parametrizations of particular devices. A thorough explanation of the proposed methodology’s mathematical formulation is given and example sizing applications on real-world analog circuits and integrated devices underline its efficiency.
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20

Садеков, Д. "ВЧ-УСИЛИТЕЛИ ОТ ANALOG DEVICES: ОБЗОР НОВИНОК." ELECTRONICS: SCIENCE, TECHNOLOGY, BUSINESS 211, no. 10 (December 2, 2021): 102–5. http://dx.doi.org/10.22184/1992-4178.2021.211.10.102.105.

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Analog Devices предлагает все необходимые компоненты для построения сигнальной цепи преобразования ВЧ/СВЧ-сигналов и создания устройств, работающих на частотах до 100 ГГц. В статье представлен обзор новинок в линейке ВЧ-усилителей, выпущенных компанией за последнее время.
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21

Zhou, Yi, Rui Chen, Wen-Jie Chen, and Yun-Gui Ma. "Advances in spatial analog optical computing devices." Acta Physica Sinica 69, no. 15 (2020): 157803. http://dx.doi.org/10.7498/aps.69.20200283.

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22

Stenbakken, G. N., and T. M. Souders. "Developing linear error models for analog devices." IEEE Transactions on Instrumentation and Measurement 43, no. 2 (April 1994): 157–63. http://dx.doi.org/10.1109/19.293413.

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23

Flament, O., J. L. Leray, J. L. Martin, J. Montaron, M. Raffaelli, J. P. Blanc, E. Delevoye, et al. "Radiation effects on SOI analog devices parameters." IEEE Transactions on Nuclear Science 41, no. 3 (June 1994): 565–71. http://dx.doi.org/10.1109/23.299800.

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24

Inokuchi, Takatoshi, Takashi Yamada, Tetsuya Asai, and Yoshihito Amemiya. "Analog computation using quantum-flux parametron devices." Physica C: Superconductivity 357-360 (August 2001): 1618–21. http://dx.doi.org/10.1016/s0921-4534(01)00569-x.

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25

Chao, R. L. "Trimming analog circuits with solid-state devices." IEEE Spectrum 34, no. 10 (October 1997): 63–67. http://dx.doi.org/10.1109/6.625260.

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26

Kelly, Brandon M., Alexander T. DiLello, and David W. Graham. "Reconfigurable Analog Preprocessing for Efficient Asynchronous Analog-to-Digital Conversion." Journal of Low Power Electronics and Applications 9, no. 3 (August 12, 2019): 25. http://dx.doi.org/10.3390/jlpea9030025.

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Wearable medical devices, wireless sensor networks, and other energy-constrained sensing devices are often concerned with finding specific data within more-complex signals while maintaining low power consumption. Traditional analog-to-digital converters (ADCs) can capture the sensor information at a high resolution to enable a subsequent digital system to process for the desired data. However, traditional ADCs can be inefficient for applications that only require specific points of data. This work offers an alternative path to lower the energy expenditure in the quantization stage—asynchronous content-dependent sampling. This asynchronous sampling scheme is achieved by pairing a flexible analog front-end with an asynchronous successive-approximation ADC and a time-to-digital converter. The versatility and reprogrammability of this system allows a multitude of event-driven, asynchronous, or even purely data-driven quantization methods to be implemented for a variety of different applications. The system, fabricated in standard 0.5 μ m and 0.35 μ m processes, is demonstrated along with example applications with voice, EMG, and ECG signals.
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27

Ryndin, Konoplev, Lysenko, Kulikova, and Popov. "Highly Sensitive Signal Processing Devices for Capacitive Transducers of Micromechanical Accelerometers." Electronics 8, no. 9 (August 25, 2019): 932. http://dx.doi.org/10.3390/electronics8090932.

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In this paper, the principles of the open-loop frequency-based signal processing devices for capacitive MEMS accelerometers are used to develop three CMOS IP-core (Intellectual Property core) projects of highly sensitive signal processing devices with frequency output. Signal processing devices designed in accordance with the considered method form an output of rectangular pulses whose frequencies equal a difference of signal frequencies from two identical generators with micromechanical accelerometer capacitive transducers in their frequency control circuits. First, the analog project scheme uses two harmonic LC oscillators and an analog mixer to form an output rectangular-shape differential-frequency signal, the frequency of which is dependent on the measured acceleration. Second, the digital project is fully scalable for various CMOS-technologies due to oscillators of rectangular pulses and a digital mixer. Third, the mixed-signal project combines the advantages of the analog and digital projects. The signal processing device projects were developed, modeled and compared to comprehensively solve the problems of increasing sensitivity, dynamic range, noise immunity and resistance to destabilizing factors (e.g., to temperature changes).
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28

Anggraini, Dyah. "Analysis of FXS (Foreign Exchange Subscriber) Port on IPPBX (Internet Protocol Private Branch Exchange)." Jurnal Jartel: Jurnal Jaringan Telekomunikasi 10, no. 1 (March 12, 2020): 26–30. http://dx.doi.org/10.33795/jartel.v10i1.163.

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PBX is a telephone communication connection device that is commonly used in buildings that require a telephone connection. However, some PBX products cannot be directly connected to analog telephones, so they require a module called an S2 module. S2 module can converts the port on the PBX to an FXS port that can be connected to an analog phone. Apart from PBX, there is ITG which can be used as telephone line communication. However, ITG already has an FXS port so it does not require additional modules. In Indonesia, there are standard provisions for the use of analog telephone communication devices which have been regulated in SNI for analog telephones. This research examines analog telephone communication devices according to SNI in Indonesia. The results of this test show the TA400 and MyPBX Standard at the impedance value when the on-hook state gets an average value of 64 K?, when the off-hook condition averages a value of 343 ?, the AC voltage test when the call comes on average gets a value of 343 ?. a value of 60 VAC, which means that it meets the SNI standard.
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29

Petkov, Milen. "COMPARATIVE ANALYSIS OF PROGRAMMABLE DEVICES WITH ANALOG AND DIGITAL INPUTS AND OUTPUTS." Journal Scientific and Applied Research 22, no. 1 (March 3, 2022): 56–65. http://dx.doi.org/10.46687/jsar.v22i1.341.

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In the present article, single-board programmable devices suitable for control of automation processes are considered. A comparative analysis of specific models of the most common single-board computers, suitable for this purpose.
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Hasler, Jennifer. "The Potential of SoC FPAAs for Emerging Ultra-Low-Power Machine Learning." Journal of Low Power Electronics and Applications 12, no. 2 (June 6, 2022): 33. http://dx.doi.org/10.3390/jlpea12020033.

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Large-scale field-programmable analog arrays (FPAA) have the potential to handle machine inference and learning applications with significantly low energy requirements, potentially alleviating the high cost of these processes today, even in cloud-based systems. FPAA devices enable embedded machine learning, one form of physical mixed-signal computing, enabling machine learning and inference on low-power embedded platforms, particularly edge platforms. This discussion reviews the current capabilities of large-scale field-programmable analog arrays (FPAA), as well as considering the future potential of these SoC FPAA devices, including questions that enable ubiquitous use of FPAA devices similar to FPGA devices. Today’s FPAA devices include integrated analog and digital fabric, as well as specialized processors and infrastructure, becoming a platform of mixed-signal development and analog-enabled computing. We address and show that next-generation FPAAs can handle the required load of 10,000–10,000,000,000 PMAC, required for present and future large fielded applications, at orders of magnitude of lower energy levels than those expected by current technology, motivating the need to develop these new generations of FPAA devices.
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31

Cullen, D. E., and M. J. Miller. "New analog memory devices demonstrated using heterojunction acoustic charge transport device technology." Applied Physics Letters 61, no. 4 (July 27, 1992): 450–52. http://dx.doi.org/10.1063/1.107911.

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32

Cuevas-González, Daniel, Miguel Bravo-Zanoguera, Eladio Altamira-Colado, Roberto López-Avitia, Juan Pablo García-Vázquez, and Marco A. Reyna. "Coping with Motion Artifacts by Analog Front-End ECG Microchips under Variable Digital Resolution and Gain." Engineering Proceedings 2, no. 1 (November 14, 2020): 12. http://dx.doi.org/10.3390/ecsa-7-08247.

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The development of portable ECG technology has found growing markets, from wearable ECG sensors to ambulatory ECG recorders, encountering challenges of moderately complex to tightly regulated devices. This study investigated how a typical 0.5–40 Hz bandwidth ECG is affected by motion artifact when using analog front-end (AFE) integrated circuits such as the AD823X family. It is known that the typical amplitude resolution of current mobile health ECG devices is 10–12 bits, and sometimes 16-bits, which is enough for monitoring but might be insufficient to identify the small potential amplitudes useful in diagnoses. The interest now is on the interplay of how a digital resolution choice and variable gain can cope with motion artifacts inherent in mobile health devices. With our methodology for a rapid prototyping of an ECG device, and using the AFE AD8232 and Bluetooth communication, a specific cardiac monitor ECG configuration was evaluated under two microcontroller systems of different resolution: a generic Arduino Nano board which featured a 10-bit analog-to-digital converter (ADC) and the 24-bit ADC of Silicon Labs C8051F350 board. The ECG cardiac monitor setup, recommended by Analog Devices, featuring two gain values under these two different microcontroller systems, was explored as to its ability to solve motion artifact problems.
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33

Mukhopadhyay, Anand Kumar, Atul Sharma, Indrajit Chakrabarti, Arindam Basu, and Mrigank Sharad. "Power-efficient Spike Sorting Scheme Using Analog Spiking Neural Network Classifier." ACM Journal on Emerging Technologies in Computing Systems 17, no. 2 (April 2021): 1–29. http://dx.doi.org/10.1145/3432814.

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The method to map the neural signals to the neuron from which it originates is spike sorting. A low-power spike sorting system is presented for a neural implant device. The spike sorter constitutes a two-step trainer module that is shared by the signal acquisition channel associated with multiple electrodes. A low-power Spiking Neural Network (SNN) module is responsible for assigning the spike class. The two-step shared supervised on-chip training module is presented for improved training accuracy for the SNN. Post implant, the relatively power-hungry training module can be activated conditionally based on a statistics-driven retraining algorithm that allows on the fly training and adaptation. A low-power analog implementation for the SNN classifier is proposed based on resistive crossbar memory exploiting its approximate computing nature. Owing to the direct mapping of SNN functionality using physical characteristics of devices, the analog mode implementation can achieve ∼21 × lower power than its fully digital counterpart. We also incorporate the effect of device variation in the training process to suppress the impact of inevitable inaccuracies in such resistive crossbar devices on the classification accuracy. A variation-aware, digitally calibrated analog front-end is also presented, which consumes less than ∼50 nW power and interfaces with the digital training module as well as the analog SNN spike sorting module. Hence, the proposed scheme is a low-power, variation-tolerant, adaptive, digitally trained, all-analog spike sorter device, applicable to implantable and wearable multichannel brain-machine interfaces.
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34

Fulde, M., J. P. Engelstädter, G. Knoblinger, and D. Schmitt-Landsiedel. "Analog circuits using FinFETs: benefits in speed-accuracy-power trade-off and simulation of parasitic effects." Advances in Radio Science 5 (June 13, 2007): 285–90. http://dx.doi.org/10.5194/ars-5-285-2007.

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Abstract. Multi-gate FET, e.g. FinFET devices are the most promising contenders to replace bulk FETs in sub-45 nm CMOS technologies due to their improved sub threshold and short channel behavior, associated with low leakage currents. The introduction of novel gate stack materials (e.g. metal gate, high-k dielectric) and modified device architectures (e.g. fully depleted, undoped fins) affect the analog device properties significantly. First measurements indicate enhanced intrinsic gain (gm/gDS) and promising matching behavior of FinFETs. The resulting benefits regarding the speed-accuracy-power trade-off in analog circuit design will be shown in this work. Additionally novel device specific effects will be discussed. The hysteresis effect caused by charge trapping in high-k dielectrics or self-heating due to the high thermal resistor of the BOX isolation are possible challenges for analog design in these emerging technologies. To gain an early assessment of the impact of such parasitic effects SPICE based models are derived and applied in analog building blocks.
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35

Lee, Tae Sung, and Changhwan Choi. "Improved analog switching characteristics of Ta2O5-based memristor using indium tin oxide buffer layer for neuromorphic computing." Nanotechnology 33, no. 24 (March 23, 2022): 245202. http://dx.doi.org/10.1088/1361-6528/ac5928.

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Abstract A memristor is defined as a non-volatile memory switching two-terminal resistor, and a memristor with digital switching characteristics is widely studied as a next-generation non-volatile memory because of its simple structure, high integration density, and low power consumption. Recently, analog memristors with gradual resistance switching (RS) characteristics have garnered great attention because of their potential to implement artificial synapses that can emulate the brain functions. Transition metal oxides are thought to be strong candidate materials for the RS. In particular, tantalum oxide (TaO x )-based memristive devices provide stable and durable switching characteristics. TaO x -based memristors utilize analog switching characteristics and have excellent durability and reliability, so they can be applied as artificial synaptic device. In this study, the characteristics of analog RS using Ta2O5-based memristive devices were investigated. The current level of the Pt/Ta2O5/Pt memristors was improved by adjusting the thickness of Ta2O5. In particular, when an indium-tin-oxide (ITO) buffer layer was added to Ta2O5 forming a Pt/ITO/Ta2O5/Pt heterostructured double-layer device, it showed more symmetrical potentiation and depression characteristics under both polarities than a single-layer device without ITO layer. The symmetrical and linear potentiation and depression characteristics are essential for the development of efficient memristor-based neuromorphic systems. Insertion of the ITO buffer layer improves linearity, symmetry, and stability of the analog RS properties of Ta2O5-based memristors to artificial synapses.
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36

Nagaeva, Svetlana N., and Lechy M. Dgabrailov. "Delivery of geophysical equipment in the horizontal section by means of a down hole tractor." Yugra State University Bulletin 12, no. 3 (September 15, 2016): 77–81. http://dx.doi.org/10.17816/byusu201612377-81.

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The article deals with the geophysical technology delivery device in the horizontal well bore via a down hole tractor British firm Sondex. A comparison of analog devices domestic developments, showing the competitive advantages of domestic and foreign manufacturers.
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37

Davitadze, Zaza, Nugzar Gomidze, and Kakha Makharadze. "Control Laser Spectrofluorimeter with Microcontrollers." Advanced Materials Research 590 (November 2012): 201–5. http://dx.doi.org/10.4028/www.scientific.net/amr.590.201.

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For today carrying out of observational measuring and processing of the gained effects without computer technology practically is not available. The importance of using automatic devices becomes more and more obvious. In many cases, when the matter is to work out the experimental devices and methods, there is a problem connected with control of experimental devices and with carrying out automatic measurement. For a solution of this problem experimenters often use different special electric devices which connect experimental devices with computer technologies. For example, such devices are analog-digital (ADC) and digital-analog (DAC) converter systems of electrical circuits etc.
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38

Campos, Gisela Belluzzo de, and María Ledesma. "Analog and digital liquid graphics. Supports and devices." DAT Journal 7, no. 1 (March 29, 2022): 4–18. http://dx.doi.org/10.29147/datjournal.v7i1.562.

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This article aims to think about the possibilities of typographic writing in real or suggested movement, in different supports and devices, as an alternative to traditional formats and uses of typography marked by linearity. Numerous experiments were carried out in analog media, however, digital systems bring tools that favor the occurrence of what Richard Font called liquid graphics. Typography here is approached in two senses: as a typographic sign – the letter itself–, and in compositions of texts, words and typographic characters in different interfaces.
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39

Achour, Sara, Rahul Sarpeshkar, and Martin C. Rinard. "Configuration synthesis for programmable analog devices with Arco." ACM SIGPLAN Notices 51, no. 6 (August 2016): 177–93. http://dx.doi.org/10.1145/2980983.2908116.

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40

Arunthathi, J. M., and R. Prabhakar. "Implantable Devices with Reconfigurable Biosensing Analog Front End." IOP Conference Series: Materials Science and Engineering 561 (November 12, 2019): 012095. http://dx.doi.org/10.1088/1757-899x/561/1/012095.

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41

Loskutov, Ilia, Ivan Shvetsov-Shilovskiy, and Dmitry Boychenko. "Testing System for Analog Devices Direct Digital Synthesizer." MATEC Web of Conferences 79 (2016): 01015. http://dx.doi.org/10.1051/matecconf/20167901015.

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42

Dupont-Nivet, E., E. Delagnes, I. L. Leray, J. L. Martin, J. Montaron, J. P. Blanc, E. Delevoye, et al. "A hardened technology on SOI for analog devices." IEEE Transactions on Nuclear Science 39, no. 3 (June 1992): 387–90. http://dx.doi.org/10.1109/23.277523.

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43

Alan Kramer, Victor Hu, and P. K. Ko. "Eeproms as analog storage devices for neural nets." Neural Networks 1 (January 1988): 385. http://dx.doi.org/10.1016/0893-6080(88)90411-x.

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44

Khastsaev, B. D. "Analog bridge devices for monitoring human skin impedance." Biomedical Engineering 29, no. 2 (1995): 75–79. http://dx.doi.org/10.1007/bf00581715.

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45

Fan‐Chiang, Kuan‐Hsu, Shang‐Hao Huang, Che‐Yung Shen, Hsing‐Lung Wang, Yuet‐Wing Li, Hsien‐Chang Tsai, and Yi‐Pai Huang. "Analog LCOS SLM devices for AR display applications." Journal of the Society for Information Display 28, no. 7 (March 18, 2020): 581–90. http://dx.doi.org/10.1002/jsid.881.

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46

Zhang, Wenbin, Bin Gao, Jianshi Tang, Xinyi Li, Wei Wu, He Qian, and Huaqiang Wu. "Analog‐Type Resistive Switching Devices for Neuromorphic Computing." physica status solidi (RRL) – Rapid Research Letters 13, no. 10 (July 10, 2019): 1900204. http://dx.doi.org/10.1002/pssr.201900204.

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47

Spector, Steven, and Cheryl Sorace-Agaskar. "Silicon photonics devices for integrated analog signal processing and sampling." Nanophotonics 3, no. 4-5 (August 1, 2014): 313–27. http://dx.doi.org/10.1515/nanoph-2013-0036.

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AbstractSilicon photonics offers the possibility of a reduction in size weight and power for many optical systems, and could open up the ability to build optical systems with complexities that would otherwise be impossible to achieve. Silicon photonics is an emerging technology that has already been inserted into commercial communication products. This technology has also been applied to analog signal processing applications. MIT Lincoln Laboratory in collaboration with groups at MIT has developed a toolkit of silicon photonic devices with a focus on the needs of analog systems. This toolkit includes low-loss waveguides, a high-speed modulator, ring resonator based filter bank, and all-silicon photodiodes. The components are integrated together for a hybrid photonic and electronic analog-to-digital converter. The development and performance of these devices will be discussed. Additionally, the linear performance of these devices, which is important for analog systems, is also investigated.
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48

Craven, J. M., E. Meeks, G. Delich, E. Ayars, H. K. Pechkis, and J. A. Pechkis. "A low-cost shutter driver and arbitrary waveform generator for optical switching using a programmable system-on-chip (PSoC) device." Review of Scientific Instruments 93, no. 11 (November 1, 2022): 113002. http://dx.doi.org/10.1063/5.0105884.

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We have developed a low-cost mechanical shutter driver with integrated arbitrary waveform generation for optical switching and control using a programmable system-on-chip device. This microcontroller-based device with configurable digital and analog blocks is readily programmed using free software, allowing for easy customization for a variety of applications. Additional digital and analog outputs with arbitrary timings can be used to control a variety of devices, such as additional shutters, acousto-optical modulators, or camera trigger pulses, for complete control and imaging of laser light. Utilizing logic-level control signals, this device can be readily integrated into existing computer control and data acquisition systems for expanded hardware capabilities.
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49

Suszynski, R., and K. Wawryn. "Rapid prototyping of algorithmic A/D converters based on FPAA devices." Bulletin of the Polish Academy of Sciences: Technical Sciences 61, no. 3 (September 1, 2013): 691–96. http://dx.doi.org/10.2478/bpasts-2013-0073.

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Abstract A rapid prototyping method for designing mixed signal systems has been presented in the paper. The method is based on implementation of the field programmable analog array (FPAA) to configure and reconfigure mixed signal systems. A serial algorithmic analog digital converter has been used as an example. Three converter architectures have been selected and implemented FPAA device. To verify and illustrate converters operation and prototyping capabilities, implemented converters have been excited by a sinusoidal signal. Analog sinusoidal excitations, digital responses and sinusoidal waveforms after reconstruction are presented.
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50

Vardhan, K. Vijaya, K. Malathi Santhoshini, Sarada Musala, and V. N. Lakshmi Pabbisetty. "Schmitt Trigger Circuits using Various Active Devices." International Journal of Engineering and Advanced Technology 9, no. 1s5 (December 30, 2019): 143–46. http://dx.doi.org/10.35940/ijeat.a1035.1291s519.

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A vast number of diverse analog circuit blocks have been arosed in the past few decades. A various active devices are Operational Amplifier (Op-Amp), Current Conveyor (CC), Operational Transconductance Amplifier (OTA), Differential Difference Current Conveyor (DDCC), Differential Difference Current Conveyor Transconductnace Amplifier (DDCCTA), Z-Copy Current Differencing Transconductance Amplifier (ZC-CDTA), Voltage Difference Transconductance Amplifier (VDTA) and so on. A review on Schmitt trigger circuits by using different active devices are presented in this paper since Schmitt trigger circuits are widely used in numerous applications such as in waveform generators, wave-shaping circuits, comparators, Bio-medical applications, analog processing systems, communication and instrumentation systems.
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