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Academic literature on the topic 'Coefficients programmables'

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Published: 25 May 2024

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Journal articles on the topic "Coefficients programmables"

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Reuver, D., and H. Klar. "A configurable convolution chip with programmable coefficients." IEEE Journal of Solid-State Circuits 27, no. 7 (July 1992): 1121–23. http://dx.doi.org/10.1109/4.142613.

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Karvonen, S., T. A. D. Riley, and J. Kostamovaara. "Charge-domain FIR sampler with programmable filtering coefficients." IEEE Transactions on Circuits and Systems II: Express Briefs 53, no. 3 (March 2006): 192–96. http://dx.doi.org/10.1109/tcsii.2005.858752.

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Niksan, K., M. A. Sid-Ahmed, and A. Shah. "Hardware implementation of programmable coefficients recursive digital filter." Canadian Journal of Electrical and Computer Engineering 13, no. 2 (1988): 85–88. http://dx.doi.org/10.1109/cjece.1988.6592781.

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Kei-Yong Khoo, A. Kwentus, and A. N. Willson. "A programmable FIR digital filter using CSD coefficients." IEEE Journal of Solid-State Circuits 31, no. 6 (June 1996): 869–74. http://dx.doi.org/10.1109/4.509877.

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Zhangwen Tang, Jie Zhang, and Hao Min. "A high-speed, programmable, CSD coefficient FIR filter." IEEE Transactions on Consumer Electronics 48, no. 4 (November 2003): 834–37. http://dx.doi.org/10.1109/tce.2003.1196409.

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KIM, Yong-Eun, Kyung-Ju CHO, Jin-Gyun CHUNG, and Xinming HUANG. "CSD-Based Programmable Multiplier Design for Predetermined Coefficient Groups." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E93-A, no. 1 (2010): 324–26. http://dx.doi.org/10.1587/transfun.e93.a.324.

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Woo Jin Oh and Yong Hoon Lee. "Implementation of programmable multiplierless FIR filters with powers-of-two coefficients." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 42, no. 8 (1995): 553–56. http://dx.doi.org/10.1109/82.404090.

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Yi, Xiaoke, Thomas X. H. Huang, and Robert A. Minasian. "Tunable and Reconfigurable Photonic Signal Processor With Programmable All-Optical Complex Coefficients." IEEE Transactions on Microwave Theory and Techniques 58, no. 11 (November 2010): 3088–93. http://dx.doi.org/10.1109/tmtt.2010.2076931.

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Rosado, A., M. Bataller, J. F. Guerrero, J. Calpe, J. V. Francés, and J. R. Magdalena. "High performance hardware correlation coefficient assessment using programmable logic for ECG signals." Microprocessors and Microsystems 27, no. 1 (February 2003): 33–39. http://dx.doi.org/10.1016/s0141-9331(02)00083-2.

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Harrison, Kevin W., Eduardo Hernández-Pacheco, Michael Mann, and Hossein Salehfar. "Semiempirical Model for Determining PEM Electrolyzer Stack Characteristics." Journal of Fuel Cell Science and Technology 3, no. 2 (November 18, 2005): 220–23. http://dx.doi.org/10.1115/1.2174072.

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A semiempirical equation was used to represent the performance characteristics of a 20-cell proton exchange membrane electrolyzer stack. The coefficients of the equation are the exchange current densities and membrane conductivity. These coefficients were determined using experimental data and a nonlinear curve fitting method. The anode exchange current density was found to be 1.65×10−8Acm−2, the cathode exchange current density 0.09Acm−2, and the membrane conductivity 0.075Scm−1. External programmable power supplies were used to obtain the (I‐V) characteristic curve of a commercial proton exchange membrane electrolyzer. Stack current, voltage, and system temperature were monitored while 1A current steps were applied to the electrolyzer stack.
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Dissertations / Theses on the topic "Coefficients programmables"

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Eshra, Islam. "Un FIRDAC programmable pour émetteurs RF re-configurable." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS461.

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Le convertisseur numérique-analogique à réponse impulsionnelle finie (FIRDAC) proposé est programmable avec un ordre entièrement reconfigurable et des coefficients capables de fournir un ordre jusqu'à 62 et un rapport entre le coefficient maximum et minimum de 159. Cela a permis une large gamme de facteurs d'atténuation pouvant atteindre 100dB et une large gamme de bandes de transition normalisées (>0.0156). Le filtre FIRDAC a été conçu et implémenté en technologie CMOS 65 nm avec une surface active totale de 0,867 mm2. Au niveau du circuit, le FIRDAC peut atteindre une fréquence d'échantillonnage de 2,56 GHz pour une consommation en puissance moyenne de 9mW. Pour une entrée sinusoïdale, le filtre FIRDAC atteint un rapport signal sur bruit (SNR) jusqu'à 67,3 dB et une dynamique (SFDR) de 72 dBc. Les performances du filtre FIRDAC ont été testées dans des émetteurs QPSK, 16-QAM et 64-QAM avec OFDM et avec différentes largeurs de bande. Les simulations montrent un EVM (Error Vector Magnitude) de 2,66%, 1,9% et 2,29% respectivement. Une partie de ce travail concerne la conception du Front-End d’un émetteur RF programmable. Le Front-End RF est composé d'un mélangeur RF, d'un amplificateur de pré-puissance et d'un filtre LC réglable. Le Front-End RF complet a un gain programmable total de 23 dB avec un pas de 1,53 dB et capable de fonctionner sur une plage de 1,5 GHz à 5 GHz. La puissance RF de sortie maximale est de -11 dBm avec une consommation électrique de 23 mW. Les résultats montrent une dynamique (SFDR) maximum de -61,95 dBc pour deux tonalités à une fréquence porteuse de 4 GHz, tandis que pour un signal OFDM 16-QAM, l'EVM obtenu était de 4,76 %
The first part of this work relates to the design and implementation of a programmable Finite Impulse Response Digital to Analog Converter (FIRDAC). The programmability is in the filter's order (N-1) and its coefficients. The proposed FIRDAC is capable of providing an order up to 62 and a ratio between maximum to minimum coefficient up to 159. This allowed the filter to provide up to 100dB of attenuation and a wide range of normalized transition-band (>0.0156). The FIRDAC filter has been designed and implemented in 65nm CMOS with total active area 0.867mm2. The FIRDAC can operate up to 2.56 GHz of sampling frequency at an average power consumption of 9mW. For a single tone input, the FIRDAC filter managed to provide an SNR up to 67.3dB and a SFDR of 72dBc. The FIRDAC filter was tested with different modulation techniques: OFDM, 16-QAM OFDM and 64-QAM OFDM having different channel Bandwidth. The circuit achieved an Error Vector Magnitude (EVM) of 2.66%, 1.9% and 2.29% respectively, complying with the LTE and the 802.11ac standards. The second part of this work relates to the design of a programmable RF front-end circuit. The RF front-end is composed of an analog RF mixer, a programmable Pre-Power Amplifier (PPA) and a tunable LC tank. The whole RF front-end introduced a total programmable gain of 23dB with a gain step of 1.53dB operating in the 1.5GHz - 5GHz frequency range. The maximum output RF power is -11dBm with a power consumption of 23mW. Simulation result showed a maximum SFDR of -61.95dBc for two tones at a carrier frequency of 4GHz. While for a 16-QAM OFDM signal, the obtained EVM was 4.76%
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Rice, Jacqueline Elsie. "Autocorrelation coefficients in the representation and classification of switching functions." Thesis, 2003. https://dspace.library.uvic.ca//handle/1828/10347.

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Reductions in the cost and size of integrated circuits are allowing more and more complex functions to be included in previously simple tools such as lawn-mowers, ovens, and thermostats. Because of this, the process of synthesizing such functions from their initial representation to an optimal VLSI implementation is rarely hand-performed; instead, automated synthesis and optimization tools are a necessity. The factors such tools must take into account are numerous, including area (size), power consumption, and timing factors, to name just a few. Existing tools have traditionally focused upon optimization of two-level representations. However, new technologies such as Field Programmable Gate Arrays (FPGAs) have generated additional interest in three-level representations and structures such as Kronecker Decision Diagrams (KDDs). The reason for this is that when implementing a circuit on an FPGA, the cost of implementing exclusive-or logic is no more than that of traditional AND or OR gates. This dissertation investigates the use of the autocorrelation coefficients in logic synthesis for these types of structures; specifically, whether it is possible to pre-process a function to produce a subset of its autocorrelation coefficients and make use of this information in the choice of a three-level decomposition or of decomposition types within a KDD. This research began as a general investigation into the properties of autocorrelation coefficients of switching functions. Much work has centered around the use of a function's spectral coefficients in logic synthesis; however, very little work has used a function's autocorrelation coefficients. Their use has been investigated in the areas of testing, optimization for Programmable Logic Arrays (PLAs), identification of types of complexity measures, and in various DD-related applications, but in a limited manner. This has likely been due to the complexity in their computation. In order to investigate the uses of these coefficients, a fast computation technique was required, as well as knowledge of their basic properties. Both areas are detailed as part of this work, which demonstrates that it is feasible to quickly compute the autocorrelation coefficients. With these investigations as a foundation we further apply the autocorrelation coefficients to the development of a classification technique. The autocorrelation classes are similar to the spectral classes, but provide significantly different information. The dissertation demonstrates that some of this information highlighted by the autocorrelation classes may allow for the identification of exclusive-or logic within the function or classes of functions. In relation to this, a major contribution of this work involves the design and implementation of algorithms based on these results. The first of these algorithms is used to identify three-level decompositions for functions, and the second to determine decomposition type lists for KDD-representations. Each of these implementations compares well with existing tools, requiring on average less than one second to complete, and performing as well as the existing tools about 70% of the time.
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Book chapters on the topic "Coefficients programmables"

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Turner, L. E., P. J. W. Graumann, and S. G. Gibb. "Bit-serial FIR filters with CSD coefficients for FPGAs." In Field-Programmable Logic and Applications, 311–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60294-1_125.

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Wirthlin, Michael J., and Brian McMurtrey. "Efficient Constant Coefficient Multiplication Using Advanced FPGA Architectures." In Field-Programmable Logic and Applications, 555–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44687-7_57.

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Martinez-Gonzalez, Ricardo Francisco, Ruben Vazquez-Medina, Jose Alejandro Diaz-Mendez, and Juan Lopez-Hernandez. "FPGA Implementations for Chaotic Maps Using Fixed-Point and Floating-Point Representations." In Field-Programmable Gate Array (FPGA) Technologies for High Performance Instrumentation, 59–97. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0299-9.ch004.

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This work presents the implementation of various chaotic maps; among the maps there are one-dimensional and two-dimensional ones. In order to implement the maps, their mathematical descriptions are modified to be represented with more accuracy by different binary representations. The sequences from the same map are compared to determine until which iteration, different descriptions produce similar outputs. The similarity coefficient is established in five percent. Comparison delivers some interesting findings; first, the one-dimensional maps, in this work, have comparative number of similar iterations. Second, the bi-dimensional maps present the lowest and highest number of similar iterations. Based on the modified mathematical descriptions, the VHDL implementations are developed. They are simulated and their results are compared against the modified mathematical description ones; resulting that both groups of results are congruent.
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Aquino, Arturo, Miguel Noguera, Borja Millan, Andrés Mejías, Juan Manuel Ponce, and José Manuel Andújar. "A preliminary evaluation of a low-cost multispectral sensor for non-destructive evaluation of olive fruits’ fat content." In XLIII Jornadas de Automática: libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja), 475–78. 2022nd ed. Servizo de Publicacións da UDC, 2022. http://dx.doi.org/10.17979/spudc.9788497498418.0475.

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This study presents a preliminary evaluation of a low-cost multispectral device for the non-destructive assessment of olive fruits’ fat content. The developed device integrates a multispectral sensor, with a spectral response of 18 channels falling in a range from 410 to 940 nm, a calibrated light source, and a programmable board, in a ‘gun’-shaped device whose trigger activates sample reading. The device was used to measure 50 intact olive samples, which were subsequently chemically analysed to determine their actual fat content. Then, the multispectral readings from the 18 channels were used as input variables to train a neural network, using the actual fat content registers as reference data. The measured results, in terms of root-mean-square-error and coefficient of determination, shows promising capabilities of the developed low-cost device in the prediction of fat content of intact olives, what stands up for further development and experimentation.
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Scano, Alessandro, Marco Caimmi, Andrea Chiavenna, Matteo Malosio, and Lorenzo Molinari Tosatti. "A Kinect-Based Biomechanical Assessment of Neurological Patients' Motor Performances for Domestic Rehabilitation." In Advances in Medical Technologies and Clinical Practice, 252–79. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9740-9.ch013.

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Stroke is one of the main causes of disability in Western countries. Damaged brain areas are not able to provide the fine-tuned muscular control typical of human upper-limbs, resulting in many symptoms that affect consistently patients' daily-life activities. Neurological rehabilitation is a multifactorial process that aims at partially restoring the functional properties of the impaired limbs, taking advantage of neuroplasticity, i.e. the capability of re-aggregating neural networks in order to repair and substitute the damaged neural circuits. Recently, many virtual reality-based, robotic and exoskeleton approaches have been developed to exploit neuroplasticity and help conventional therapies in clinic. The effectiveness of such methods is only partly demonstrated. Patients' performances and clinical courses are assessed via a variety of complex and expensive sensors and time-consuming techniques: motion capture systems, EMG, EEG, MRI, interaction forces with the devices, clinical scales. Evidences show that benefits are proportional to treatment duration and intensity. Clinics can provide intensive assistance just for a limited amount of time. Thus, in order to preserve the benefits and increase them in time, the rehabilitative process should be continued at home. Simplicity, easiness of use, affordability, reliability and capability of storing logs of the rehabilitative sessions are the most important requirements in developing devices to allow and facilitate domestic rehabilitation. Tracking systems are the primary sources of information to assess patients' motor performances. While expensive and sophisticated techniques can investigate neuroplasticity, neural activation (fMRI) and muscle stimulation patterns (EMG), the kinematic assessment is fundamental to provide basic but essential quantitative evaluations as range of motion, motor control quality and measurements of motion abilities. Microsoft Kinect and Kinect One are programmable and affordable tracking sensors enabling the measurement of the positions of human articular centers. They are widely used in rehabilitation, mainly for interacting with virtual environments and videogames, or training motor primitives and single joints. In this paper, the authors propose a novel use of the Kinect and Kinect One sensors in a medical protocol specifically developed to assess the motor control quality of neurologically impaired people. It is based on the evaluation of clinically meaningful synthetic performance indexes, derived from previously developed experiences in upper-limb robotic treatments. The protocol provides evaluations taking into account kinematics (articular clinical angles, velocities, accelerations), dynamics (shoulder torque and shoulder effort index), motor and postural control quantities (normalized jerk of the wrist, coefficient of periodicity, center of mass displacement). The Kinect-based platform performance evaluation was off-line compared with the measurements obtained with a marker-based motion tracking system during the execution of reaching tasks against gravity. Preliminary results based on the Kinect sensor suggest its efficacy in clustering healthy subjects and patients according to their motor performances, despite the less sensibility in respect to the marker-based system used for comparison. A software library to evaluate motor performances has been developed by the authors, implemented in different programming languages and is available for on-line use during training/evaluation sessions (Figure 1). The Kinect sensor coupled with the developed computational library is proposed as an assessment technology during domestic rehabilitation therapies with on-line feedback, enabled by an application featuring tracking, graphical representation and data logging. An experimental campaign is under development on post-stroke patients with the Kinect-One sensor. Preliminary results on patients with different residual functioning and level of impairment indicate the capability of the whole system in discriminating motor performances.
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Scano, Alessandro, Marco Caimmi, Andrea Chiavenna, Matteo Malosio, and Lorenzo Molinari Tosatti. "A Kinect-Based Biomechanical Assessment of Neurological Patients' Motor Performances for Domestic Rehabilitation." In Robotic Systems, 811–37. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1754-3.ch042.

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Stroke is one of the main causes of disability in Western countries. Damaged brain areas are not able to provide the fine-tuned muscular control typical of human upper-limbs, resulting in many symptoms that affect consistently patients' daily-life activities. Neurological rehabilitation is a multifactorial process that aims at partially restoring the functional properties of the impaired limbs, taking advantage of neuroplasticity, i.e. the capability of re-aggregating neural networks in order to repair and substitute the damaged neural circuits. Recently, many virtual reality-based, robotic and exoskeleton approaches have been developed to exploit neuroplasticity and help conventional therapies in clinic. The effectiveness of such methods is only partly demonstrated. Patients' performances and clinical courses are assessed via a variety of complex and expensive sensors and time-consuming techniques: motion capture systems, EMG, EEG, MRI, interaction forces with the devices, clinical scales. Evidences show that benefits are proportional to treatment duration and intensity. Clinics can provide intensive assistance just for a limited amount of time. Thus, in order to preserve the benefits and increase them in time, the rehabilitative process should be continued at home. Simplicity, easiness of use, affordability, reliability and capability of storing logs of the rehabilitative sessions are the most important requirements in developing devices to allow and facilitate domestic rehabilitation. Tracking systems are the primary sources of information to assess patients' motor performances. While expensive and sophisticated techniques can investigate neuroplasticity, neural activation (fMRI) and muscle stimulation patterns (EMG), the kinematic assessment is fundamental to provide basic but essential quantitative evaluations as range of motion, motor control quality and measurements of motion abilities. Microsoft Kinect and Kinect One are programmable and affordable tracking sensors enabling the measurement of the positions of human articular centers. They are widely used in rehabilitation, mainly for interacting with virtual environments and videogames, or training motor primitives and single joints. In this paper, the authors propose a novel use of the Kinect and Kinect One sensors in a medical protocol specifically developed to assess the motor control quality of neurologically impaired people. It is based on the evaluation of clinically meaningful synthetic performance indexes, derived from previously developed experiences in upper-limb robotic treatments. The protocol provides evaluations taking into account kinematics (articular clinical angles, velocities, accelerations), dynamics (shoulder torque and shoulder effort index), motor and postural control quantities (normalized jerk of the wrist, coefficient of periodicity, center of mass displacement). The Kinect-based platform performance evaluation was off-line compared with the measurements obtained with a marker-based motion tracking system during the execution of reaching tasks against gravity. Preliminary results based on the Kinect sensor suggest its efficacy in clustering healthy subjects and patients according to their motor performances, despite the less sensibility in respect to the marker-based system used for comparison. A software library to evaluate motor performances has been developed by the authors, implemented in different programming languages and is available for on-line use during training/evaluation sessions (Figure 1). The Kinect sensor coupled with the developed computational library is proposed as an assessment technology during domestic rehabilitation therapies with on-line feedback, enabled by an application featuring tracking, graphical representation and data logging. An experimental campaign is under development on post-stroke patients with the Kinect-One sensor. Preliminary results on patients with different residual functioning and level of impairment indicate the capability of the whole system in discriminating motor performances.
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Conference papers on the topic "Coefficients programmables"

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Wang, Shih-Ming, Chi-Yang Chang, and Jenshan Lin. "A Software Configurable Coupler with Programmable Coupling Coefficient." In 2007 IEEE/MTT-S International Microwave Symposium. IEEE, 2007. http://dx.doi.org/10.1109/mwsym.2007.380321.

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Jia, Rui, Fei Wang, Rui Chen, Xing-Gang Wang, Delong Shang, and Hai-Gang Yang. "High-order reconfigurable FIR filter design based on statistical analysis of CSD coefficients." In 2013 International Conference on Field-Programmable Technology (FPT). IEEE, 2013. http://dx.doi.org/10.1109/fpt.2013.6718399.

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Sundararajan, Vijay, and Keshab K. Parhi. "Synthesis of low power folded programmable coefficient FIR digital filters (short paper)." In the 2000 conference. New York, New York, USA: ACM Press, 2000. http://dx.doi.org/10.1145/368434.368595.

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Jiang, Cindy X., Tom T. Hartley, and Joan E. Carletta. "High Performance Low Cost Implementation of FPGA-Based Fractional-Order Operators." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84796.

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Hardware implementation of fractional-order differentiators and integrators requires careful consideration of issues of system quality, hardware cost, and speed. This paper proposes using field programmable gate arrays (FPGAs) to implement fractional-order systems, and demonstrates the advantages that FPGAs provide. As an illustration, the fundamental operators to a real power is approximated via the binomial expansion of the backward difference. The resulting high-order FIR filter is implemented in a pipelined multiplierless architecture on a low-cost Spartan-3 FPGA. Unlike common digital implementations in which all filter coefficients have the same word length, this approach exploits variable word length for each coefficient. Our system requires twenty percent less hardware than a system of comparable quality generated by Xilinx’s System Generator on its most area-efficient multiplierless setting. The work shows an effective way to implement a high quality, high throughput approximation to a fractional-order system, while maintaining less cost than traditional FPGA-based designs.
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Faraji, S. Rasoul, Pierre Abillama, and Kia Bazargan. "Low-Cost Approximate Constant Coefficient Hybrid Binary-Unary Multiplier for DSP Applications." In 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM). IEEE, 2020. http://dx.doi.org/10.1109/fccm48280.2020.00022.

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Qian, Zhuo, and Martin Margala. "A Novel Coefficient Address Generation Algorithm for Split-Radix FFT (Abstract Only)." In FPGA '15: The 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2684746.2689134.

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Artemiev, V. V., A. V. Kruglov, and I. A. Sorokin. "Optimization of structure matched digital filter with variable coefficients when implemented on Field-programmable gate array." In Высокие технологии атомной отрасли. Молодежь в инновационном процессе. Саров: Российский Федеральный ядерный центр - Всероссийский научно-исследовательский институт экспериментальной физики, 2021. http://dx.doi.org/10.53403/9785951505033_120.

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Su, Po-Han, Kuan-Lin Huang, and Shuenn-Yuh Lee. "Operational Amplifier Sharing Based High-Pass Sigma-Delta Modulator with Programmable Feedforward Coefficients for ECG Signal Acquisition." In 2020 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2020. http://dx.doi.org/10.1109/iscas45731.2020.9180428.

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Safwat, Sally, Maged Ghoneima, and Yehea Ismail. "A design methodology for a low power bang-bang all digital PLL based on digital loop filter programmable coefficients." In 2011 International Conference on Energy Aware Computing (ICEAC). IEEE, 2011. http://dx.doi.org/10.1109/iceac.2011.6136676.

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Kang, Ye, Kwangwon Kim, and Jaehyung Ju. "Reconfigurable Compliant Cellular Material With Programmable Compliant Cellular Structure." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-52572.

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Cellular materials have two important properties: structures and mechanisms. This property enables one to design structures with proper stiffness and flexibility. Recent advance in 3D printing technologies enable engineers to manufacture complex cellular structures. In addition, use of smart materials, e.g., shape memory polymers (SMPs), for 3D printing enables us to construct mesostructures actively responsive to environmental stimuli with a programmable function, which may be termed ‘4D Printing’ referring to additional dimension on time-dependent shape change after 3D printing. The objective of this study is to design and synthesize active reconfigurable cellular materials, which enables the advance of technology on intelligent reconfigurable cellular structures with 4D printing. A two-layer hinge of a CPS functions through a programmed thermal expansion mismatch between two layers and shape memory effect of an SMP. Starting with thermo-mechanical constitutive modeling of a compliant porous hinge consisting of laminated elastomer composites, macroscopic behaviors of a reconfigurable compliant porous structure (CPS) will be constructed using the strain energy method. A finite element (FE) based simulation equipped with a user subroutine will be implemented with ABAQUS/Standard to simulate time-dependent thermo mechanical behaviors of a CPS. The designed CPS with polymers shows an extremely high negative Poisson’s ratio (∼ −120) and negative thermal expansion coefficient (−2,530 × 10−6/C). When programmed with an appropriate thermo-mechanical procedure, the hinge of the CPS bends either in positive and negative sign, which enables to tailor the CPS into desired intermediate and final configurations, ending up with achieving a reconfigurable CPS. This paper demonstrates that actively reconfigurable compliant cellular materials (CCMs) with CPSes can be used for next-generation materials design in terms of tailoring mechanical properties such as modulus, strength, yield strain, Poisson’s ratios and thermal expansion coefficient together with programmable characteristics.
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