Journal articles: 'Mixed-signal system'

1

Zagursky, V. "Characterization techniques for mixed signal system." Computer Standards & Interfaces 21, no. 2 (June 1999): 112. http://dx.doi.org/10.1016/s0920-5489(99)91977-3.

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Kougianos, Elias. "Nanoelectronic Mixed-Signal System Design [Book Reviews]." IEEE Consumer Electronics Magazine 6, no. 1 (January 2017): 147–48. http://dx.doi.org/10.1109/mce.2016.2614559.

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Pouros, S. P., V. D. Vassios, and D. K. Papakostas. "FPGA - Based Mixed - Signal Circuits Testing System Implementation." Journal of Engineering Science and Technology Review 9, no. 6 (December 2016): 131–34. http://dx.doi.org/10.25103/jestr.096.19.

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Ozev, S., and A. Orailoglu. "System-level test synthesis for mixed-signal designs." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 48, no. 6 (June 2001): 588–99. http://dx.doi.org/10.1109/82.943329.

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Chou, E., and B. Sheu. "Nanometer mixed-signal system-on-a-chip design." IEEE Circuits and Devices Magazine 18, no. 4 (July 2002): 7–17. http://dx.doi.org/10.1109/mcd.2002.1021118.

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Pucha, R. V., S. Hegde, M. Damani, K. Tunga, A. Perkins, S. Mahalingam, G. Ramakrishna, et al. "System-Level Reliability Assessment of Mixed-Signal Convergent Microsystems." IEEE Transactions on Advanced Packaging 27, no. 2 (May 2004): 438–52. http://dx.doi.org/10.1109/tadvp.2004.830357.

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Mallik, A. "Tunnel FETs for Mixed-Signal System-On-Chip Applications." ECS Transactions 53, no. 5 (May 2, 2013): 93–104. http://dx.doi.org/10.1149/05305.0093ecst.

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Van Lammeren, J. P. M., and R. W. B. Wissing. "Mixed-signal quadrature demodulator with a multicarrier regeneration system." IEEE Journal of Solid-State Circuits 35, no. 3 (March 2000): 441–45. http://dx.doi.org/10.1109/4.826827.

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Bello, D. S. S., R. Tangelder, and H. Kerkhoff. "Modeling a verification test system for mixed-signal circuits." IEEE Design & Test of Computers 18, no. 1 (2001): 63–71. http://dx.doi.org/10.1109/54.902823.

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Li, Hongge. "A compensability RF CMOS mixed-signal interface for implantable system." Analog Integrated Circuits and Signal Processing 61, no. 3 (April 24, 2009): 301–7. http://dx.doi.org/10.1007/s10470-009-9311-0.

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Oehler, P., C. Grimm, and K. Waldschmidt. "A methodology for system-level synthesis of mixed-signal applications." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 10, no. 6 (December 2002): 935–42. http://dx.doi.org/10.1109/tvlsi.2002.801577.

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Nuzzo, Pierluigi, Xuening Sun, Chang-Ching Wu, Fernando De Bernardinis, and Alberto Sangiovanni-Vincentelli. "A Platform-Based Methodology for System-Level Mixed-Signal Design." EURASIP Journal on Embedded Systems 2010 (2010): 1–14. http://dx.doi.org/10.1155/2010/261583.

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Loukusa, V. "Embedded System Level Self-Test for Mixed-Signal IO Verification." Journal of Electronic Testing 22, no. 4-6 (December 2006): 463–70. http://dx.doi.org/10.1007/s10836-006-9458-x.

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Radojicic, Carna, Christoph Grimm, Florian Schupfer, and Michael Rathmair. "Verification of Mixed-Signal Systems with Affine Arithmetic Assertions." VLSI Design 2013 (April 28, 2013): 1–14. http://dx.doi.org/10.1155/2013/239064.

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Embedded systems include an increasing share of analog/mixed-signal components that are tightly interwoven with functionality of digital HW/SW systems. A challenge for verification is that even small deviations in analog components can lead to significant changes in system properties. In this paper we propose the combination of range-based, semisymbolic simulation with assertion checking. We show that this approach combines advantages, but as well some limitations, of multirun simulations with formal techniques. The efficiency of the proposed method is demonstrated by several examples.

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Strle, Drago, and Janez Trontelj. "On Self-Aware Mixed-Signal Systems Based on S-Δ ADC." International Journal of Embedded and Real-Time Communication Systems 3, no. 2 (April 2012): 92–110. http://dx.doi.org/10.4018/jertcs.2012040105.

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In this paper the authors discuss the issues related to the self-awareness of high-resolution, mixed-signal circuits and systems, based on S-? ADC, which is the most important and sensitive module and the key element for analogue to digital conversion. The basic methodology and framework for improving the self-awareness of such systems are presented. The methodology is based on efficient real-time measurements of a high-resolution, mixed-signal system using pseudo random signal source, real-time calculation of a distance between responses, the possibility to adapt measured circuit to minimize the distance, and changing the parameters of a reference system according to learning rules. The use of pseudo-random noise as a signal source leads to efficient and cost-effective measurements that run in parallel to the main signal processing. The calculation of the distance between the system and its reference are theoretically analysed and verified using Matlab model. The response of a system together with the response of high precision analogue to digital converter (ADC) is compared to the response of a bit-true model of a reference digital circuit. The differences are calculated using simple area-efficient cross-correlation algorithm. Together with adaptation strategy and tuning circuitry it forms the basis for self-awareness of mixed-signal circuits.

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Barylo, Gryhoriy, Oksana Boyko, Ihor Helzhynskyy, Tetyana Marusenkova, Yurii Kryvenchuk, and Roman Holyaka. "HARDWARE-SOFTWARE EMBEDDED SYSTEM OF SIGNAL FREQUENCY SELECTION ON GYRATOR." Measuring Equipment and Metrology 82, no. 1 (2021): 37–42. http://dx.doi.org/10.23939/istcmtm2021.01.037.

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The work is devoted to the problem of frequency-selective signal conversion in microelectronic sensor devices. It has been shown that the signal path of such devices, in particular, sensor nodes in the concept of the Internet of Things, must meet the requirements of embedded systems using a mixed analog-digital front end. The analysis of the signal transformation of photovoltaic sensors, in particular the problem of a significant parasitic influence of extraneous non-informative optical radiation and electromagnetic interference, has been carried out. SPICE models of photovoltaic sensor signal circuits providing frequency selection on bandwidth filters have been synthesized. The main approaches of hardware-software implementation of the built-in system of frequency selection with the mixed-signal transformation are considered. The signal path of the embedded system includes a gyrator, a software-controlled amplifier, a synchronous demodulator, an analog-to-digital converter, and a digital filter. The implementation is carried out on the platform of the programmable system on a PSoC chip. The integrated circuits of the PSoC 5 LP Family Cypress Semiconductor Corporation are used with a wide range of programmable analog front-end nodes, in particular operating amplifiers, comparators, units on switching capacitors, reference voltage sources on the principle of the forbidden zone, analog multiplexers, signal synthesizers, etc. The efficiency of the mixed analog and digital signal conversion is shown.

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Kim, Byoungho, and Jacob A. Abraham. "Designing nonlinearity characterization for mixed-signal circuits in system-on-chip." Analog Integrated Circuits and Signal Processing 82, no. 1 (November 28, 2014): 341–48. http://dx.doi.org/10.1007/s10470-014-0461-3.

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Zamanlooy, Babak, and Mitra Mirhassani. "Mixed-signal VLSI neural network based on Continuous Valued Number System." Neurocomputing 221 (January 2017): 15–23. http://dx.doi.org/10.1016/j.neucom.2016.08.090.

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Khalil, Raouf, Marie-Minerve Louërat, and Roger Petigny. "Background analog and mixed signal calibration system for time-interleaved ADC." Microelectronics Journal 46, no. 7 (July 2015): 656–67. http://dx.doi.org/10.1016/j.mejo.2015.04.001.

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Kim, Byoungho. "Dithering Loopback-Based Prediction Technique for Mixed-Signal Embedded System Specifications." IEEE Transactions on Circuits and Systems II: Express Briefs 63, no. 2 (February 2016): 121–25. http://dx.doi.org/10.1109/tcsii.2015.2482419.

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Iyer, M. K., P. V. Ramana, K. Sudharsanam, C. J. Leo, M. Sivakumar, B. L. S. Pong, and X. Ling. "Design and Development of Optoelectronic Mixed Signal System-on-Package (SOP)." IEEE Transactions on Advanced Packaging 27, no. 2 (May 2004): 278–85. http://dx.doi.org/10.1109/tadvp.2004.831881.

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Ma, Yongqiang, Badong Chen, Pengju Ren, Nanning Zheng, Giacomo Indiveri, and Elisa Donati. "EMG-Based Gestures Classification Using a Mixed-Signal Neuromorphic Processing System." IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10, no. 4 (December 2020): 578–87. http://dx.doi.org/10.1109/jetcas.2020.3037951.

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Sanchez-Chiva, Josep Maria, Juan Valle, Daniel Fernandez, and Jordi Madrenas. "A Mixed-Signal Control System for Lorentz-Force Resonant MEMS Magnetometers." IEEE Sensors Journal 19, no. 17 (September 1, 2019): 7479–88. http://dx.doi.org/10.1109/jsen.2019.2913459.

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LIU, Y. "Synchronization Mechanism for Timed/Untimed Mixed-Signal System Level Design Environment." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E89-A, no. 4 (April 1, 2006): 1018–26. http://dx.doi.org/10.1093/ietfec/e89-a.4.1018.

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Shen, M., Li-Rong Zheng, and H. Tenhunen. "Cost and performance analysis for mixed-signal system implementation: system-on-chip or system-on-package?" IEEE Transactions on Electronics Packaging Manufacturing 25, no. 4 (October 2002): 262–72. http://dx.doi.org/10.1109/tepm.2002.807721.

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ROSSELLO, JOSEP L., VINCENT CANALS, ANTONI MORRO, and JAUME VERD. "CHAOS-BASED MIXED SIGNAL IMPLEMENTATION OF SPIKING NEURONS." International Journal of Neural Systems 19, no. 06 (December 2009): 465–71. http://dx.doi.org/10.1142/s0129065709002166.

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A new design of Spiking Neural Networks is proposed and fabricated using a 0.35 μm CMOS technology. The architecture is based on the use of both digital and analog circuitry. The digital circuitry is dedicated to the inter-neuron communication while the analog part implements the internal non-linear behavior associated to spiking neurons. The main advantages of the proposed system are the small area of integration with respect to digital solutions, its implementation using a standard CMOS process only and the reliability of the inter-neuron communication.

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Chen, Hong, Ji Biao Zhou, and Juan Sun. "Development and Application of CHANSIGNAL Signal Timing Software System." Applied Mechanics and Materials 135-136 (October 2011): 436–42. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.436.

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Considering the mixed traffic flow of current urban traffic condition in our country, the paper develops the CHANSIGNAL signal timing system based on the improved TRRL signal timing model. Through simulation analysis and case verification, the system presents the advantages of high accuracy, calculating speed in signal timing for intersection. The system significantly improves the traffic operating condition, which proves the system’s validity and practicality.

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Stankovic, Srboljub, Bratislav Iricanin, Dragana Nikolic, Ksenija Jankovic, Mirjana Radenkovic, Koviljka Stankovic, and Predrag Osmokrovic. "MSV signal processing system for neutron-gamma discrimination in a mixed field." Nuclear Technology and Radiation Protection 27, no. 2 (2012): 165–70. http://dx.doi.org/10.2298/ntrp1202165s.

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Based on the principles derived from Campbell?s theorem, this paper carries out an analysis of the possibilities of Campbell?s mean square value signal processing system. The mean square value mode is especially suitable for measurements performed in a mixed radiation field, because the quantities of electrical charge involved in the interactions of the two types of radiation are substantially different. The measuring detector element may be an adequate ionization chamber and/or semiconductor components for mixed n-? fields. An examination of the discrimination of gamma in relation to the neutron component in the signal of the detector output was carried out, calculated according to the theoretical model of radiation interaction with the detector. The advantage of the mean square value method was confirmed and it was concluded that the order of n-? discrimination in mean square value signal processing is greater than the one rendered by the classical measuring method.

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Islam, S. Z., and M. A. M. Ali. "Implementation of Low-Cost Reconfigurable External Mixed-Signal VLSI Circuit Testing System." Australian Journal of Electrical and Electronics Engineering 7, no. 1 (January 2010): 73–82. http://dx.doi.org/10.1080/1448837x.2010.11464259.

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Levitan, S. P., J. A. Martinez, T. P. Kurzweg, A. J. Davare, M. Kahrs, M. Bails, and D. M. Chiarulli. "System simulation of mixed-signal multi-domain microsystems with piecewise linear models." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 22, no. 2 (February 2003): 139–54. http://dx.doi.org/10.1109/tcad.2002.806604.

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Mallik, Abhijit, and Avik Chattopadhyay. "Tunnel Field-Effect Transistors for Analog/Mixed-Signal System-on-Chip Applications." IEEE Transactions on Electron Devices 59, no. 4 (April 2012): 888–94. http://dx.doi.org/10.1109/ted.2011.2181178.

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NAHHAL, Tarik, and Thao Dang. "Test Generation for Analog and Mixed-Signal Circuits Using Hybrid System Models." International Journal of VLSI Design & Communication Systems 2, no. 3 (September 30, 2011): 21–38. http://dx.doi.org/10.5121/vlsic.2011.2302.

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Li, Chengjie, Lidong Zhu, Anhong Xie, and Zhongqiang Luo. "A Novel Blind Source Separation Algorithm and Performance Analysis of Weak Signal against Strong Interference in Passive Radar Systems." International Journal of Antennas and Propagation 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/6203972.

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In Passive Radar System, obtaining the mixed weak object signal against the super power signal (jamming) is still a challenging task. In this paper, a novel framework based on Passive Radar System is designed for weak object signal separation. Firstly, we propose an Interference Cancellation algorithm (IC-algorithm) to extract the mixed weak object signals from the strong jamming. Then, an improved FastICA algorithm withK-means cluster is designed to separate each weak signal from the mixed weak object signals. At last, we discuss the performance of the proposed method and verify the novel method based on several simulations. The experimental results demonstrate the effectiveness of the proposed method.

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Yu, Zhuizhuan, Xi Chen, Sebastian Hoyos, Brian M. Sadler, Jingxuan Gong, and Chengliang Qian. "Mixed-Signal Parallel Compressive Spectrum Sensing for Cognitive Radios." International Journal of Digital Multimedia Broadcasting 2010 (2010): 1–10. http://dx.doi.org/10.1155/2010/730509.

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Wideband spectrum sensing for cognitive radios requires very demanding analog-to-digital conversion (ADC) speed and dynamic range. In this paper, a mixed-signal parallel compressive sensing architecture is developed to realize wideband spectrum sensing for cognitive radios at sub-Nqyuist rates by exploiting the sparsity in current frequency usage. Overlapping windowed integrators are used for analog basis expansion, that provides flexible filter nulls for clock leakage spur rejection. A low-speed experimental system, built with off-the-shelf components, is presented. The impact of circuit nonidealities is considered in detail, providing insight for a future integrated circuit implementation.

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ANDJELKOVIĆ, BOJAN, VANCO LITOVSKI, and VOLKER ZERBE. "MISSION LEVEL MODELING AND SIMULATION LANGUAGE FOR MIXED-SIGNAL SYSTEM-ON-CHIP DESIGN." Journal of Circuits, Systems and Computers 16, no. 01 (February 2007): 15–28. http://dx.doi.org/10.1142/s0218126607003435.

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Modern complex system design demands modeling on a high level of abstraction together with the system environment components. Such model enables mission level system simulation in the context of its operational conditions. Mission level design using hardware description language AleC++ is presented in this paper. It provides mission and system level verification of a mixed-signal system-on-chip. After validation at mission and system level, this language enables designers to replace some of the components with implementation level models to test and validate the system implementation at mission level. Also, the language provides modeling capabilities that give the designer an opportunity to analyze the influence of low-level technological and environmental parameters to the complete system behavior. In this way a uniform design framework is achieved from mission/system down to implementation level. The application of the language both for mission/system and implementation level modeling is illustrated by an example of the electronic compass.

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von Rosen, Julius, Felix Salfelder, Lars Hedrich, Benjamin Betting, and Uwe Brinkschulte. "A highly dependable self-adaptive mixed-signal multi-core system-on-chip architecture." Integration 48 (January 2015): 55–71. http://dx.doi.org/10.1016/j.vlsi.2014.04.001.

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Yong-Feng, Guo, Xu Wei, and Wang Liang. "Stochastic resonance in a time-delayed asymmetric bistable system with mixed periodic signal." Chinese Physics B 19, no. 4 (April 2010): 040503. http://dx.doi.org/10.1088/1674-1056/19/4/040503.

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Tewari, Suchismita, Abhijit Biswas, and Abhijit Mallik. "Study of InGaAs-Channel MOSFETs for Analog/Mixed-Signal System-on-Chip Applications." IEEE Electron Device Letters 33, no. 3 (March 2012): 372–74. http://dx.doi.org/10.1109/led.2011.2182598.

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Seok, Moon Gi, Tag Gon Kim, Chang Beom Choi, and Daejin Park. "An HLA-Based Distributed Cosimulation Framework in Mixed-Signal System-on-Chip Design." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25, no. 2 (February 2017): 760–64. http://dx.doi.org/10.1109/tvlsi.2016.2594948.

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Wu, Ben, Yang Qi, Chenxi Qiu, and Ying Tang. "Wideband Anti-Jamming Based on Free Space Optical Communication and Photonic Signal Processing." Sensors 21, no. 4 (February 6, 2021): 1136. http://dx.doi.org/10.3390/s21041136.

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We propose and demonstrate an anti-jamming system to defend against wideband jamming attack. Free space optical communication is deployed to provide a reference for jamming cancellation. The mixed signal is processed and separated with photonic signal processing method to achieve large bandwidth. As an analog signal processing method, the cancellation system introduces zero latency. The radio frequency signals are modulated on optical carriers to achieve wideband and unanimous frequency response. With wideband and zero latency, the system meets the key requirements of high speed and real-time communications in transportation systems.

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Song, Ling-Yen, Yu-Kang Lou, Ching-Ho Lin, Chien-Nan Liu, Juinn-Dar Huang, Jing-Yang Jou, Meng-Jung Lee, and Yu-Lan Lo. "Efficient Circuit Structure Analysis for Automatic Behavioral Model Generation in Mixed-Signal System Simulation." Electronics 10, no. 9 (May 4, 2021): 1088. http://dx.doi.org/10.3390/electronics10091088.

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For mixed-signal systems, identifying the analog and digital circuit blocks in the transistor-level netlist has many benefits for system analysis and verification. However, existing approaches still have difficulty handling large mixed-signal designs with millions of transistors, especially when multiple analog structure patterns are included. In this paper, we propose an efficient structure recognition methodology to support analyzing highly complex designs with various circuit structures and different devices. In order to tackle the complexity of real cases, a hierarchical partition-based analysis methodology and an encoding-based fast screening technique are proposed in this work. To correctly ascertain the boundary of analog and digital structures, we propose an enhanced direct current connection (DCC) partition method and combine it with the analog structure analysis flow. The non-transistor devices, such as resistors and capacitors, are also included in our recognition flow to improve the recognition capability and accuracy. As demonstrated with two industrial cases, the behavioral models generated from the structure recognition results do help to improve the efficiency of the AMS system verification.

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Gläser, Georg, Dagmar Kirsten, André Richter, Marco Reinhard, Gerrit Kropp, and Dirk M. Nuernbergk. "High-Precision Mixed-Signal Sensor Interface for a Wide Temperature Range [0° – 300°C]." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2017, HiTEN (July 1, 2017): 000036–41. http://dx.doi.org/10.4071/2380-4491.2017.hiten.36.

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Abstract Sensor interfacing is a crucial component for today's systems in many application domains. Especially in automotive and manufacturing fields, high temperatures are encountered. For extracting the typically small sensor signals, an interface near the sensor is needed to provide a high-accuracy and robustness. This results in challenges for circuit design and architecture to avoid temperature related non-ideal effects. In this contribution, we present a novel system architecture for a Wheatstone bridge interfacing system. By encoding the sensor signal in time domain and augmenting the system with additional obseravtions, we present a robust and precise sensor interface operating at up to 300°C. We present a realization of this concept proven to be accurate within ±1.3%FS over the full temperature range.

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B., Sowmya K., and Thanushree M. "Characterization and hierarchical static timing analysis of mixed-signal design." International Journal of Reconfigurable and Embedded Systems (IJRES) 10, no. 1 (March 1, 2021): 18. http://dx.doi.org/10.11591/ijres.v10.i1.pp18-24.

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As the technology grows, the tendency to increase the data rate also increases. Clocks with higher frequencies have to be generated to meet the increased data rate. Any mismatch between the clock rate and data rate will lead to the capture of the wrong data. Hence performing timing analysis for any design to validate the capture of correct data plays a major role in any System on chip. This paper explains the procedure followed to perform timing analysis for any mixed-signal design.

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Gläser, Georg, Dagmar Kirsten, André Richter, Marco Reinhard, Gerrit Kropp, and Dirk M. Nuernbergk. "High-Precision Mixed-Signal Sensor Interface for a Wide Temperature Range [0–300°C]." Journal of Microelectronics and Electronic Packaging 15, no. 1 (January 1, 2018): 1–8. http://dx.doi.org/10.4071/imaps.523847.

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Sensor interfacing is a crucial component for today's systems in many application domains. Especially in automotive and manufacturing fields, high temperatures are encountered. For extracting the typically small sensor signals, an interface near the sensor is needed to provide high accuracy and robustness. This results in challenges in circuit design and architecture to avoid temperature-related nonideal effects. In this contribution, we present a novel system architecture for a Wheatstone bridge interfacing system. By encoding the sensor signal in time domain and augmenting the system with additional observations, we present a robust and precise sensor interface operating at up to 300°C without breaking accuracy or functional requirements because of high-temperature effects. We present a realization of this concept proven to be accurate within ±1.3% full scale over the full temperature range.

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Zhang, Hai Bin, Si Liang Lu, Shang Bin Zhang, Ke Sai Ouyang, and Fan Rang Kong. "A New Cascaded Stochastic Resonance System and its Application to Weak Double-Frequency Signal Separation." Applied Mechanics and Materials 511-512 (February 2014): 346–51. http://dx.doi.org/10.4028/www.scientific.net/amm.511-512.346.

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Weak signal detection has attracted many researchers attention all over the world. Most of the methods focus on the single frequency signal. This paper introduces a new method to separate the weak double-frequency signal overwhelmed in heavy background noise. The cascaded stochastic resonance (SR) system (CSRS) is composed of a bistable SR model in the first stage and a tristable one in the second. Based on the characteristic of the SR system, we can amplify the useful signal of high frequency using twice sampling technic to make its parameters matching the requirements of the system. In our proposed cascade stochastic resonance system, we highlight the appointed frequency from high to low successfully with adjusting the twice sampling multiple and the high pass filter band. The signal composition of different frequency can be obtained from the systems two stage output. Simulated experiment validates the CSRSs availability in weak double-frequency signal separation and also its promising application in a more complex mixed signal.

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Deng, Jun, Hua Yong Tan, Lun Cai Liu, and Lin Tao Liu. "Research of a Mixed-Signal Programmable SoC Based on FPAA." Applied Mechanics and Materials 556-562 (May 2014): 1741–44. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.1741.

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This paper presents a novel architecture for mixed-signal SoC, which integrates a Field Programmable Analog Array (FPAA) into a SoC based on 32-bit RISC CPU. The FPAA unit can be configured as Filter, Comparator, Gain Amplifier, and so on. The proposed mixed-signal SoC can transform the intermediate frequency (IF) analog signal to baseband digital signal and realize the real-time baseband signal processing, besides this, which can transmit the modulated IF signals which are converted from baseband signals by digital up-conversion (DUC). The proposed mixed-signal SoC is a transceiver on chip actually, due to the internal integrated IPs, such as ADC, DAC, DDC and DUC, which can provide smaller board area, lower power consumption and the system cost for the product development of transceiver. This design will have a good potential for wireless communication applications.

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Xu, Pengfei, Yinjie Jia, and Mingxin Jiang. "Blind audio source separation based on a new system model and the Savitzky-Golay filter." Journal of Electrical Engineering 72, no. 3 (June 1, 2021): 208–12. http://dx.doi.org/10.2478/jee-2021-0029.

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Abstract Blind source separation (BSS) is a research hotspot in the field of signal processing. This scheme is widely applied to separate a group of source signals from a given set of observations or mixed signals. In the present study, the Savitzky-Golay filter is applied to smooth the mixed signals, adopt a simplified cost function based on the signal to noise ratio (SNR) and obtain the demixing matrix accordingly. To this end, the generalized eigenvalue problem is solved without conventional iterative methods. It is founded that the proposed algorithm has a simple structure and can be easily implemented in diverse problems. The obtained results demonstrate the good performance of the proposed model for separating audio signals in cases with high signal to noise ratios.

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Sun, Miao Zhong, Chuan Wang, and Yuan Li Xu. "Fault Diagnosis of Grinding Machine Using Choi-Williams Distribution Based on COM Module Technology." Applied Mechanics and Materials 226-228 (November 2012): 572–75. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.572.

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In this paper, a time-frequency analytic system is implemented by using mixed programming of Matlab and Delphi languages based on COM (Component Object Model）module technology. Matlab possesses many signal analytic functions and Delphi has a friendly visual programming environment. These two advantages are fully combined in the mixed programming. This system can be easily upgraded to expand new analytic functions with help of COM module technology. Fault diagnosis of a grinding machine is carried out by using this system. A same vibrational signal sampled from the machine is analyzed in turn by three methods in this system that are Fast Fourier Transform(FFT), Wigner-Ville Distribution(WVD) and Choi-Williams Distribution(CWD). Comparing with the three results, it shows that CWD can get best diagnostic information and validity of the estimation on the instantaneous frequency of a signal. Success of the mixed programming is presented meantime.

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Kohlrusz, Gábor, Krisztián Enisz, Bence Csomós, and Dénes Fodor. "Electric energy converter development and diagnostics in mixed-signal simulation environment." ACTA IMEKO 7, no. 1 (April 1, 2018): 20. http://dx.doi.org/10.21014/acta_imeko.v7i1.512.

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<p class="Abstract"><span lang="EN-US">In this work the input and output capacitors of a digitally controlled Buck converter have been tested in 4 different cases with unused and worn out capacitors. The information extracted from interactions between the subsystems of an electric energy conversion system requires the implementation of the whole system from network to load. A complex simulation environment has been implemented where digital and analogue domains can be connected. The input and output capacitor aging have a significant influence on time domain characteristics, but the evaluation of frequency-domain data is supposed to be required to extract information from the noisy and distorted time-domain signal. The presented diagnostic approach aims to analyze signals that are used by the control loop in order to avoid expensive additions to existing circuits.</span></p>

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Bamford, Simeon A., Roni Hogri, Andrea Giovannucci, Aryeh H. Taub, Ivan Herreros, Paul F. M. J. Verschure, Matti Mintz, and Paolo Del Giudice. "A VLSI Field-Programmable Mixed-Signal Array to Perform Neural Signal Processing and Neural Modeling in a Prosthetic System." IEEE Transactions on Neural Systems and Rehabilitation Engineering 20, no. 4 (July 2012): 455–67. http://dx.doi.org/10.1109/tnsre.2012.2187933.

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Journal articles on the topic 'Mixed-signal system'

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