Relevant bibliographies by topics / Adaptive filters Design and construction

Academic literature on the topic 'Adaptive filters Design and construction'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Adaptive filters Design and construction"

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AHMED, HASSAN M., and FAWAD RAUF. "PARALLEL, LOCALLY CONNECTED ALGORITHMS FOR NONLINEAR ADAPTIVE FILTERING." International Journal of High Speed Electronics and Systems 04, no. 01 (March 1993): 85–98. http://dx.doi.org/10.1142/s0129156493000066.

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A new adaptive modular realization for nonlinear filters is presented whereby construction is both computationally efficient and readily implemented. The proposed layered structure consists of locally connected, locally adapted linear filters. Modularity and local connectivity make efficient VLSI layout easy and amenable to automation. The layered structure is based on "state dependent embedding", a new approach to the design of series based nonlinear adaptive filters.
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Dai, Huan Yao, Xue Song Wang, and Yong Zhen Li. "Spatial Virtual Polarization Filter Design for Radar Sensor." Advanced Materials Research 239-242 (May 2011): 768–72. http://dx.doi.org/10.4028/www.scientific.net/amr.239-242.768.

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As interferences are introduced from main-lobe direction which results in tar-get signal are masked by interference, traditional adaptive beam-forming can not suppress main-lobe interferences effectively. Polarization filtering is a main method to suppress the interference in radar and other sensor systems. Based on the spatial polarization characteristic (SPC) of antenna, a spatial virtual polarization filter (SVPF) is proposed by constructing polarization decomposition and polarization estimation of the received signal. A generalized construction method of SVPF is provided, the performance of the SVPF is given, and simulation results of the interference suppressing are illustrated. It is indicated that the proposed filter is a valid filtering technique for interference canceling. SVPF made single polarized radar own polarization information processing ability which improved radar working performance.
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Khadanovich, D. V., and V. I. Shiryaev. "ADAPTIVE GUARANTEED ESTIMATION OF A CONSTANT SIGNAL UNDER UNCERTAINTY OF MEASUREMENT ERRORS." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 20, no. 4 (December 2020): 22–36. http://dx.doi.org/10.14529/ctcr200403.

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In the guaranteed estimation problems under uncertainty relative to disturbances and meas-urement errors, the admissible sets of their possible values are determined. The solution is chosen due to conditions of guaranteed bounded estimates optimization corresponding to the worst realiza-tion of disturbances and measurement errors. The result of the guaranteed estimation is an unim-provable bounded estimate (information set), which turns to be overly pessimistic (reinsurance) if a prior admissible set of measurement errors is too large compared to their realized values. The admis-sible sets of disturbances and measurement errors can turn to be only rough upper estimates on a short observation interval. The goal of research is the accuracy enhancement problem of guaran-teed estimation when measurement errors are not realized in the worst way, i.e. the environment in which the object operates does not behave as aggressively as it is built in a priori data on the permis-sible set of error values. Research design. The problem of adaptive guaranteed estimation of a con-stant signal from noisy measurements is considered. The adaptive filtering problem is, according to the results of measurement processing, from the whole set of possible realizations of errors, to choose the one that would generate the measurement sequence. Results. An adaptive guaranteed estimation algorithm is presented. The adaptive algorithm construction is based on a multi-alternative method based on the Kalman filter bank. The method uses a set of filters, each of which is tuned to a specific hypoth-esis about the measurement error model. Filter residuals are used to compute estimates of realized measurement errors. The choice of the realization of possible errors is performed using a function that has the meaning of the residual variance over a short time interval. Conclusion. The computa-tional scheme of the adaptive algorithm, the numerical example, and comparative analysis of ob-tained estimates are presented.
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Liu, Fengyan, and Xiulan Zhang. "Compound Adaptive Fuzzy Synchronization Controller Design for Uncertain Fractional-Order Chaotic Systems." Fractal and Fractional 6, no. 11 (November 5, 2022): 652. http://dx.doi.org/10.3390/fractalfract6110652.

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In this paper, the synchronization of two fractional-order chaotic systems with uncertainties and external disturbances is considered. A fuzzy logic system is utilized to estimate uncertain nonlinearity, and its estimation accuracy is improved by constructing a series-parallel model. A disturbance observer is implemented to estimate bounded disturbance. To solve the “explosion of complexity” problem in the backstepping scheme, fractional-order command filters are employed to estimate virtual control inputs and their derivatives, and error compensation signals are devised to reduce filtering errors. Based on the fractional-order Lyapurov criterion, the proposed compound adaptive fuzzy backstepping control strategy can guarantee that the synchronization error converges to a small neighborhood of the origin. At last, the validity of the proposed control strategy is verified via a numerical simulation.
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Wang, Xiaoling, and Jinpeng Yu. "Command Filtering and Barrier Lyapunov Function-Based Adaptive Control for PMSMs with Core Losses and All-State Restrictions." Complexity 2021 (February 10, 2021): 1–12. http://dx.doi.org/10.1155/2021/6673568.

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With the troubles of core losses and all-state confined to certain limitations which are the innate traits of permanent magnet synchronous motors (PMSMs), this article develops a command filtered adaptive backstepping approach to follow the track of PMSM’s desired rotor position. To begin with, the RBF neural network technique is utilized to get close to the uncharted nonlinear terms which existed in PMSM’s mathematical model. Meanwhile, an advanced adaptive command filter control methodology is constructed to avoid the computing explosion during the process of backstepping design. Furthermore, to make sure that all the state variables are confined into certain ranges, we employed the barrier Lyapunov function (BLF) at every step of the controllers construction. In addition, an error compensating mechanism is proposed to neutralize filtering errors and only one adaptive law is required. At last, simulation results bear out the superiority of the aforementioned control scheme.
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Wu, Yuefei, and Jianyong Yao. "Barrier Lyapunov function-based adaptive output feedback failure compensation for a class of non-linear systems with unknown dead-zone non-linearity." Transactions of the Institute of Measurement and Control 39, no. 8 (February 22, 2016): 1169–81. http://dx.doi.org/10.1177/0142331216630364.

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In this paper, an adaptive robust output feedback control approach is proposed for a class of uncertain non-linear systems with unknown input dead-zone non-linearity, unknown failures and unknown bounded disturbances. By constructing the dead-zone inverse and applying the backstepping recursive design technique, a robust adaptive backstepping controller is proposed, in which adaptive control law is synthesized to handle parametric uncertainties and a novel robust control law to attenuate disturbances. The robust output feedback control law is developed by integrating a switching function σ algorithm at each step of the backstepping design procedure. In addition, K-filters are designed to estimate the unmeasured states and neural networks are employed to approximate the unknown non-linear functions. By ensuring boundedness of the barrier Lyapunov function, the major feature of the proposed controller is that it can theoretically guarantee asymptotic output tracking performance, in spite of the presence of unknown input dead-zone non-linearity, various actuator failures and unknown bounded disturbances via Lyapunov stability analysis. The effectiveness of the proposed approach is illustrated by the simulation examples.
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Salis, Christos, Nikolaos V. Kantartzis, and Theodoros Zygiridis. "An adaptive sparse polynomial-chaos technique based on anisotropic indices." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 39, no. 3 (May 21, 2020): 691–707. http://dx.doi.org/10.1108/compel-10-2019-0392.

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Purpose The fabrication of electromagnetic (EM) components may induce randomness in several design parameters. In such cases, an uncertainty assessment is of high importance, as simulating the performance of those devices via deterministic approaches may lead to a misinterpretation of the extracted outcomes. This paper aims to present a novel heuristic for the sparse representation of the polynomial chaos (PC) expansion of the output of interest, aiming at calculating the involved coefficients with a small computational cost. Design/methodology/approach This paper presents a novel heuristic that aims to develop a sparse PC technique based on anisotropic index sets. Specifically, this study’s approach generates those indices by using the mean elementary effect of each input. Accurate outcomes are extracted in low computational times, by constructing design of experiments (DoE) which satisfy the D-optimality criterion. Findings The method proposed in this study is tested on three test problems; the first one involves a transmission line that exhibits several random dielectrics, while the second and the third cases examine the effects of various random design parameters to the transmission coefficient of microwave filters. Comparisons with the Monte Carlo technique and other PC approaches prove that accurate outcomes are obtained in a smaller computational cost, thus the efficiency of the PC scheme is enhanced. Originality/value This paper introduces a new sparse PC technique based on anisotropic indices. The proposed method manages to accurately extract the expansion coefficients by locating D-optimal DoE.
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Yao, Biwen, Huiming Wang, Mingliang Shao, Jian Chen, and Guo Wei. "Evaluation System of Smart Logistics Comprehensive Management Based on Hospital Data Fusion Technology." Journal of Healthcare Engineering 2022 (January 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/1490874.

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With the acceleration of the informatization process, but because of the late start of the informatization construction of logistics management, the current digital system construction of logistics management has not been popularized, and the intelligent logistics integrated management evaluation system is also extremely lacking. In order to solve the lack of existing intelligent logistics comprehensive management evaluation system, this paper introduces the research of intelligent logistics comprehensive management evaluation system based on hospital data fusion technology. This paper analyzes and utilizes the Kalman filter and adaptive weighted data fusion technology in data fusion technology and then analyzes the evaluation index and system design principles of the intelligent logistics comprehensive management evaluation system and then designs the application layer from the application layer. Design the application layer from the application layer. Then design the framework of the intelligent logistics comprehensive management evaluation system at the network layer and the data layer. The system is finally tested, and the test results show that the evaluation accuracy of the system reaches 80%.
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Metzger, Stefan, George Burba, Sean P. Burns, Peter D. Blanken, Jiahong Li, Hongyan Luo, and Rommel C. Zulueta. "Optimization of an enclosed gas analyzer sampling system for measuring eddy covariance fluxes of H<sub>2</sub>O and CO<sub>2</sub>." Atmospheric Measurement Techniques 9, no. 3 (March 31, 2016): 1341–59. http://dx.doi.org/10.5194/amt-9-1341-2016.

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Abstract. Several initiatives are currently emerging to observe the exchange of energy and matter between the earth's surface and atmosphere standardized over larger space and time domains. For example, the National Ecological Observatory Network (NEON) and the Integrated Carbon Observing System (ICOS) are set to provide the ability of unbiased ecological inference across ecoclimatic zones and decades by deploying highly scalable and robust instruments and data processing. In the construction of these observatories, enclosed infrared gas analyzers are widely employed for eddy covariance applications. While these sensors represent a substantial improvement compared to their open- and closed-path predecessors, remaining high-frequency attenuation varies with site properties and gas sampling systems, and requires correction. Here, we show that components of the gas sampling system can substantially contribute to such high-frequency attenuation, but their effects can be significantly reduced by careful system design. From laboratory tests we determine the frequency at which signal attenuation reaches 50 % for individual parts of the gas sampling system. For different models of rain caps and particulate filters, this frequency falls into ranges of 2.5–16.5 Hz for CO2, 2.4–14.3 Hz for H2O, and 8.3–21.8 Hz for CO2, 1.4–19.9 Hz for H2O, respectively. A short and thin stainless steel intake tube was found to not limit frequency response, with 50 % attenuation occurring at frequencies well above 10 Hz for both H2O and CO2. From field tests we found that heating the intake tube and particulate filter continuously with 4 W was effective, and reduced the occurrence of problematic relative humidity levels (RH > 60 %) by 50 % in the infrared gas analyzer cell. No further improvement of H2O frequency response was found for heating in excess of 4 W. These laboratory and field tests were reconciled using resistor–capacitor theory, and NEON's final gas sampling system was developed on this basis. The design consists of the stainless steel intake tube, a pleated mesh particulate filter and a low-volume rain cap in combination with 4 W of heating and insulation. In comparison to the original design, this reduced the high-frequency attenuation for H2O by ≈ 3∕4, and the remaining cospectral correction did not exceed 3 %, even at high relative humidity (95 %). The standardized design can be used across a wide range of ecoclimates and site layouts, and maximizes practicability due to minimal flow resistance and maintenance needs. Furthermore, due to minimal high-frequency spectral loss, it supports the routine application of adaptive correction procedures, and enables largely automated data processing across sites.
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Metzger, S., G. Burba, S. P. Burns, P. D. Blanken, J. Li, H. Luo, and R. C. Zulueta. "Optimization of a gas sampling system for measuring eddy-covariance fluxes of H<sub>2</sub>O and CO<sub>2</sub>." Atmospheric Measurement Techniques Discussions 8, no. 10 (October 26, 2015): 10983–1028. http://dx.doi.org/10.5194/amtd-8-10983-2015.

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Abstract. Several initiatives are currently emerging to observe the exchange of energy and matter between the earth's surface and atmosphere standardized over larger space and time domains. For example, the National Ecological Observatory Network (NEON) and the Integrated Carbon Observing System (ICOS) will provide the ability of unbiased ecological inference across eco-climatic zones and decades by deploying highly scalable and robust instruments and data processing. In the construction of these observatories, enclosed infrared gas analysers are widely employed for eddy-covariance applications. While these sensors represent a substantial improvement compared to their open- and closed-path predecessors, remaining high-frequency attenuation varies with site properties, and requires correction. Here, we show that the gas sampling system substantially contributes to high-frequency attenuation, which can be minimized by careful design. From laboratory tests we determine the frequency at which signal attenuation reaches 50 % for individual parts of the gas sampling system. For different models of rain caps and particulate filters, this frequency falls into ranges of 2.5–16.5 Hz for CO2, 2.4–14.3 Hz for H2O, and 8.3–21.8 Hz for CO2, 1.4–19.9 Hz for H2O, respectively. A short and thin stainless steel intake tube was found to not limit frequency response, with 50 % attenuation occurring at frequencies well above 10 Hz for both H2O and CO2. From field tests we found that heating the intake tube and particulate filter continuously with 4 W was effective, and reduced the occurrence of problematic relative humidity levels (RH > 60 %) by 50 % in the infrared gas analyser cell. No further improvement of H2O frequency response was found for heating in excess of 4 W. These laboratory and field tests were reconciled using resistor-capacitor theory, and NEON's final gas sampling system was developed on this basis. The design consists of the stainless steel intake tube, a pleated mesh particulate filter, and a low-volume rain cap in combination with 4 W of heating and insulation. In comparison to the original design, this reduced the high-frequency attenuation for H2O by &amp;approx; 3/4, and the remaining cospectral correction did not exceed 3 %, even at a very high relative humidity (95 %). This standardized design can be used across a wide range of eco-climates and site layouts, and maximizes practicability due to minimal flow resistance and maintenance needs. Furthermore, due to minimal high-frequency spectral loss, it supports the routine application of adaptive correction procedures, and enables more automated data processing across sites.
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Dissertations / Theses on the topic "Adaptive filters Design and construction"

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Sundaralingam, Sathiaseelan. "Evolving optimal IIR and adaptive filters." Thesis, University of Glasgow, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300977.

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Pfann, Eugen. "Design and analysis of oversampled #sigma# #delta# adaptive LMS filters." Thesis, University of Strathclyde, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273397.

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Köroğlu, Mustafa Hadi. "High frequency integrated filters for wireless applications." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/14458.

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Babatunde, Patrick O. "Norm-based methods in observer design." Thesis, Brunel University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340841.

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Yunus, Haroon Iqbal. "Single phase active power filters." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/13282.

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Hezar, Rahmi. "Oversampled digital filters : a design methodology and implementation." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/14936.

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Zhou, Yi, and 周翊. "Improved analysis and design of efficient adaptive transversal filtering algorithms with particular emphasis on noise, input andchannel modeling." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B36653536.

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Zhou, Yi. "Improved analysis and design of efficient adaptive transversal filtering algorithms with particular emphasis on noise, input and channel modeling." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36653536.

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Salah, Ben Romdhane Mohamed. "Design synthesis of application-specification ICs for DSP." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/15392.

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Alexandrou, Alexandros. "Design of filter banks for subband coding systems." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=63318.

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Books on the topic "Adaptive filters Design and construction"

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name, No. Least-mean-square adaptive filters. Hoboken, NJ: Wiley-Interscience, 2003.

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1929-, Widrow Bernard, and Haykin Simon S. 1931-, eds. Least-mean-square adaptive filters. Hoboken, NJ: John Wiley, 2003.

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Treichler, John R. Theory and design of adaptive filters. New York: Wiley, 1987.

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Van Valkenburg, M. E. 1921- and Van Valkenburg, M. E. 1921-, eds. Design of analog filters. New York: Oxford University Press, 2001.

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Filter design. Oxford, [England]: Newnes, 1997.

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Active filters: Theory and design. Boca Raton: CRC Press, 2008.

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Schaumann, Rolf. Designof analog filters. Englewood Cliffs, NJ: Prentice Hall, 1990.

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Huang, Jen-Kuang. Integrated adaptive filtering and design for control experiments of flexible structures. Norfolk, Va: Old Dominion University Research Foundation, 1991.

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Designing and building electronic filters. Blue Ridge Summit, PA: Tab Books, 1992.

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Horn, Delton T. Designing and building electronic filters. Blue Ridge Summit, PA: Tab Books, 1992.

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Book chapters on the topic "Adaptive filters Design and construction"

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Shanbhag, Naresh R., and Keshab K. Parhi. "A Pipelined Adaptive Differential Vector Quantizer Architecture and A Design Algorithm." In Pipelined Adaptive Digital Filters, 79–95. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2678-0_4.

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Dougherty, Edward R., and Yidong Chen. "Optimal and Adaptive Design of Reconstructive Granulometric Filters." In Mathematical Morphology and its Applications to Image and Signal Processing, 253–61. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0469-2_29.

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Ramírez, Javier, Uwe Meyer-Bäse, Antonio García, and Antonio Lloris. "Design and Implementation of RNS-Based Adaptive Filters." In Field Programmable Logic and Application, 1135–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45234-8_138.

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Doval, A. Beatriz Garmendia, Chilukuri K. Mohan, and Mohit K. Prasad. "Evolutionary Algorithm for the Design of Stack Filters Specified using Selection Probabilities." In Adaptive Computing in Design and Manufacture, 315–24. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1589-2_24.

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Pessoa, Lúcio F. C., and Petros Maragos. "MRL-Filters and Their Adaptive Optimal Design for Image Processing." In Mathematical Morphology and its Applications to Image and Signal Processing, 155–62. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0469-2_18.

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Elashry, Khaled, and Ruairi Glynn. "An Approach to Automated Construction Using Adaptive Programing." In Robotic Fabrication in Architecture, Art and Design 2014, 51–66. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04663-1_4.

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Liu, Yong-Hua, and Chun-Yi Su. "Robust Control Design of Uncertain Strict Feedback Systems Using Adaptive Filters." In Advances in Neural Networks – ISNN 2018, 768–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92537-0_87.

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Vehlken, Sebastian. "Visions of Process—Swarm Intelligence and Swarm Robotics in Architectural Design and Construction." In Springer Series in Adaptive Environments, 1–23. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70866-9_1.

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Huang, Wanping, Lifang Zhou, Jixin Qian, and Longhua Ma. "FIR Frequency Sampling Filters Design Based on Adaptive Particle Swarm Optimization Algorithm." In Lecture Notes in Computer Science, 289–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539902_34.

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Roese-Koerner, Lutz, Ina Krasbutter, and Wolf-Dieter Schuh. "A Constrained Quadratic Programming Technique for Data-Adaptive Design of Decorrelation Filters." In International Association of Geodesy Symposia, 165–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22078-4_25.

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Conference papers on the topic "Adaptive filters Design and construction"

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Håkansson, L., I. Claesson, L. Pettersson, and T. Lagö. "Active Control Machine Tool Chatter Piezo Ceramic Actuators in Tool Holder Shank." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/vib-8307.

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Abstract In the turning operation chatter or vibration is a frequent problem, which affects the result of the machining, and, in particular, the surface finish. Tool life is also influenced by vibration. Severe acoustic noise in the working environment frequently occurs as a result of dynamic motion between the cutting tool and the workpiece. These problems can be reduced by active control of machine-tool vibration. Adaptive feedback control based on the filtered-x LMS-algorithm, enables a reduction of the vibration by up to 40 dB at 1.5 kHz and by approximately 40 dB at 3 kHz. The active control performed a broadband attenuation of the sound pressure level by up to 35 dB. A significant improvement of the work-piece surface was also observed. In the active control of tool vibration a tool holder construction based on integrated high magnetostrictive actuators was used. However, both the physical features and properties of a active tool holder construction based on high magnetostrictive actuators and the fact that this type of actuators generally have a non-linear behaviour highly reduce its applicability to the general lathe and turning operation. Therefor, a new generation embedded active tool holder shanks based on piezo ceramic actuators have been developed. Based on spectrum estimates, both coherence spectrum and frequency response function estimates has been calculated for both the old tool holder construction and the new generation active tool holder shank. From the results it follows that the phase delay is smaller and the linearity of the new generation active tool holder shank are superior compared to the old technology. It is also obvious that physical features and properties of new generation embedded active tool holder shanks based on piezo ceramic actuators fits the general lathe application.
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Chen, Yidong, and Edward R. Dougherty. "Adaptive design of logical structure filters." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by Francoise J. Preteux, Jennifer L. Davidson, and Edward R. Dougherty. SPIE, 1998. http://dx.doi.org/10.1117/12.323456.

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Soderstrand, Michael A. "Design of linear-phase adaptive heterodyne filters." In 2011 IEEE 54th International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2011. http://dx.doi.org/10.1109/mwscas.2011.6026667.

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Segarra, Santiago, Antonio G. Marques, Gonzalo R. Arce, and Alejandro Ribeiro. "Design of weighted median graph filters." In 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, 2017. http://dx.doi.org/10.1109/camsap.2017.8313120.

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Vasicek, Zdenek, and Lukas Sekanina. "Novel Hardware Implementation of Adaptive Median Filters." In 2008 11th International Workshop on Design and Diagnostics of Electronic Circuits and Systems (DDECS). IEEE, 2008. http://dx.doi.org/10.1109/ddecs.2008.4538766.

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Gallieni, Daniele, Enzo Anaclerio, Paolo G. Lazzarini, Angelo Ripamonti, Roberto Spairani, Ciro Del Vecchio, Piero Salinari, Armando Riccardi, Paolo Stefanini, and Roberto Biasi. "LBT adaptive secondary units final design and construction." In Astronomical Telescopes and Instrumentation, edited by Peter L. Wizinowich and Domenico Bonaccini. SPIE, 2003. http://dx.doi.org/10.1117/12.458851.

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Mir, Fariha, and Sourav Banerjee. "Performance of a Multifunctional Spiral Shaped Acoustic Metamaterial With Synchronized Low-Frequency Noise Filtering and Energy Harvesting Capability." In ASME 2020 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/smasis2020-2264.

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Abstract Metamaterials are man-made materials that behave uniquely and possess exclusively desired properties that are not found in natural materials. Usually, it is the combination of two or more materials and can be engineered to perform tasks that are not possible with traditional materials. These were initially discovered while working with electromagnetic radiation. Apart from electromagnetic radiation, metamaterials are also capable of affecting the wave propagation characteristics through any fluid such as air. These metamaterials are called acoustic metamaterials. Many acoustic metamaterials have gone beyond its definition but still, characterize the waveguiding properties. Incorporation of smart materials while constructing acoustic metamaterial, can achieve multifunctionality of the design. A prospective application field for such acoustic metamaterials is energy harvesting from low-frequency vibration. It is conceptualized that acoustic metamaterials can be used as noise barrier materials to filter roadside and industrial noise. This application can get extended to the aerospace application where engine noise mitigation inside the cabin is a challenge. In this article, a spiral-shaped acoustic metamaterial is modeled which has a dual function of noise filtering and energy harvesting. This acoustic metamaterial has a comparatively high reflection coefficient closer to the anti-resonance frequencies, resulting in high sound transmission loss. The filtered noise is trapped inside the cell in the form of strain energy. Hence, we claim that if the trapped energy which is any way wasted in the material could be harvested to power the local electronic devices, the new solution could make transformative for the 21st century’s green energy solution. Calculated placement of smart materials in the cell-matrix can help to extract the strain energy in the form of power. The acoustic metamaterial cell presented in this work has the capability of isolating noise and reducing diffraction by trapping sound in low frequencies and at the same time recover the trapped abundant energy in the form of electrical potential using piezoelectric materials. The spiral design is sensitive to vibration due to trampoline shaped attachments inside the cell. This makes it capable of harvesting energy using vibration also. This is a promising acoustoelastic metamaterial with multifunctionality properties for future applications.
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Leung, Henry, and Jennifer Lam. "Receiver design for chaotic modulation system using adaptive filters." In Photonics East '95, edited by Jaafar M. H. Elmirghani. SPIE, 1995. http://dx.doi.org/10.1117/12.227893.

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Sanchez-Azqueta, C., C. Gimeno, E. Guerrero, C. Aldea, and S. Celma. "Design considerations for loop filters in continuous-time adaptive equalizers." In 2014 11th International Multi-Conference on Systems, Signals & Devices (SSD). IEEE, 2014. http://dx.doi.org/10.1109/ssd.2014.6808871.

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Greco, M., M. P. Bussa, M. Destefanis, M. Maggiora, and S. Spataro. "VHDL design of digital adaptive filters for PANDA signal processing." In 2012 IEEE-NPSS Real Time Conference (RT 2012). IEEE, 2012. http://dx.doi.org/10.1109/rtc.2012.6418213.

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Reports on the topic "Adaptive filters Design and construction"

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Waisner, Scott, Victor Medina, Charles Ellison, Jose Mattei-Sosa, John Brasher, Jacob Lalley, and Christopher Griggs. Design, construction, and testing of the PFAS Effluent Treatment System (PETS), a mobile ion exchange–based system for the treatment of per-, poly-fluorinated alkyl substances (PFAS) contaminated water. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43823.

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Poly-,Per-fluorinated alkyl substances (PFAS) are versatile chemicals that were incorporated in a wide range of products. One of their most important use was in aqueous film-forming foams for fighting liquid fuel fires. PFAS compounds have recently been identified as potential environmental contaminants. In the United States there are hundreds of potential military sites with PFAS contamination. The ERDC designed and constructed a mobile treatment system to address small sites (250,000 gallons or less) and as a platform to field test new adsorptive media. The PFAS Effluent Treatment System (PETS) has cartridge filters to remove sediments and a granular activated carbon (GAC) media filter to remove organic compounds that might compete with PFAS in the ion exchange process, although it may also remove PFAS too. The last process is an ion exchange resin specifically designed to remove PFAS to a target level of 70 ng/L or less (equivalent to the US Environmental Protection Agency (EPA) Drinking Water Health Advisory). The system was tested at Hurlburt Field, a US Air Force facility in Florida and at Naval Support Activity (NSA) Mid-South in Millington, TN.
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