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Journal articles 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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1

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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2

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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3

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 &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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Habib, Peter T. "Vaccine Design, Adaptation, and Cloning Design for Multiple Epitope-Based Vaccine Derived From SARS-CoV-2 Surface Glycoprotein (S), Membrane Protein (M) and Envelope Protein (E): In silico approach." Frontiers in Health Informatics 10, no. 1 (March 17, 2021): 67. http://dx.doi.org/10.30699/fhi.v10i1.279.

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Introduction: The SARS Coronavirus-2 (SARS-CoV-2) pandemic has become a global epidemic that has increased the scientific community's concern about developing and finding a counteraction against this lethal virus. So far, hundreds of thousands of people have been infected by the pandemic due to contamination and spread. This research was therefore carried out to develop potential epitope-based vaccines against the SARS-CoV-2 virus using reverse vaccinology and immunoinformatics approaches.Material and Methods: The material of SARS-COV2 Surface Glycoprotein (S), Membrane Protein (M), and Envelope Protein (E) were downloaded from the NCBI protein database. Each protein has undergone epitopes prediction for MHC class I epitopes, MHC class II epitopes, and Antibody of B-cell epitopes. Selected epitopes according to their antigenicity score was tested for allergenicity and toxicity. Finally, filtered epitopes were used in vaccine construction. Vaccines were constructed, docked against Toll-like receptor 3, and undergone Molecular Dynamic simulation. The vaccine with the best scores, subjected to immune stimulation and cloning design.Results: Three vaccines were constructed, COVac-1, COVac-2, and COVac-3. Each vaccine was submitted into a deep investigation. The molecular dynamic simulation determines the stability and physical movement of protein atoms and molecules. After Molecular dynamics simulation, COVac-1 was having the best scores. COVac-1 was then subjected to immune simulation analysis to insure the stimulation of innate and adaptive immunity. After passing the immune simulation, COVac-1 was integrated into E.coli pET-30b plasmid using in silico cloning design.Conclusion:Viral pandemics are threatened to face humanity today. The best scenario to fight against any pandemic is utilizing the full power of computational biology, especially immune-informatics, to design and discover in silico new vaccines or molecules that may stimulate the immune system against the invader pathogens or inhibit the pathogen life cycle.

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Shutenko, Elena Nikolaevna, Andrey Ivanovich Shutenko, and Daria Alekseevna Vorotyntseva. "The specifics of building a psychological space for the use of information technologies as tools for activating the personal potential of university students." Психолог, no. 5 (May 2022): 82–96. http://dx.doi.org/10.25136/2409-8701.2022.5.38817.

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The study is aimed at the development of the psychological-pedagogical construct of implementation the information technologies in higher education. The aim of the study is to determine the psychological conditions and logic of information technologies deployment to develop the personal potential of students. The authors use the methods of systematization and generalization, the method of conceptual-structural reconstruction, modeling and design, psychological testing and comparative analysis. As a result, presented the personal-oriented construction of ICT realization into the university training. It combines the principles of using ICT, the structure of educational communications and specific stimuli of ICT that activating the personal potential of students. The principles proposed in the construction serve as a psychological-pedagogical filter for the introduction of ICT (targeting, accessibility, redundancy, diversity, integrativity, sensitivity, synergy, refreshment, systematicity, scientific orientation, etc.). Compliance with these principles allows building on the basis of ICT a developed and psychologically correct system of educational communications, including such components as: didactic, information-gnostic, interactive, attractive-motivating, participating and other components. In the presented construction, the authors also offer a set of ICT stimuli that activate the personal potential of students: representative, exposing, adaptive, contact, search-heuristic, imprinting, control-evaluative, structuring, reflective, modeling, suggestive, translimitative, temporal, personalizing, inclusive, etc. Approbation this construction in the online learning showed the promise of its application in practice. The results of diagnostics using the self-actualization method (version of the POI test by E. Shostrom) showed that students have an increase in such indicators of personal potential as: self-support, self-regard and self-acceptance, as well as spontaneity, flexibility and productive relationship. The results obtained can be applied in the field of building student-centered digitalization practices of university education, the novelty of which lies in the indirect introduction of information technologies through the development of a variety of educational communications aimed at activating students' personal resources and capacities.

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Tang, Yunyi, and Yuanpeng Zhu. "Image Zooming Based on Two Classes of C1-Continuous Coons Patches Construction with Shape Parameters over Triangular Domain." Symmetry 12, no. 4 (April 22, 2020): 661. http://dx.doi.org/10.3390/sym12040661.

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Image interpolation is important in image zooming. To improve the quality of image zooming, in this work, we proposed a class of rational quadratic trigonometric Hermite functions with two shape parameters and two classes of C 1 -continuous Coons patches constructions over a triangular domain by improved side–side method and side–vertex method. Altering the values of shape parameters can adjust the interior shape of the triangular Coons patch without influencing the function values and partial derivatives of the boundaries. In order to deal with the problem of well-posedness in image zooming, we discussed symmetrical sufficient conditions for region control of shape parameters in the improved side–side method and side–vertex method. Some examples demonstrate the proposed methods are effective in surface design and digital image zooming. C 1 -continuous Coons patches constructed by the proposed methods can interpolate to scattered 3D data. By up-sampling to the constructed interpolation surface, high-resolution images can be obtained. Image zooming experiment and analysis show that compared to bilinear, bicubic, iterative curvature-based interpolation (ICBI), novel edge orientation adaptive interpolation scheme for resolution enhancement of still images (NEDI), super-resolution using iterative Wiener filter based on nonlocal means (SR-NLM) and rational ball cubic B-spline (RBC), the proposed method can improve peak signal to noise ratio (PSNR) and structural similarity index (SSIM). Edge detection using Prewitt operator shows that the proposed method can better preserve sharp edges and textures in image zooming. The proposed methods can also improve the visual effect of the image, therefore it is efficient in computation for image zooming.

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Siedler, Konrad, and Carsten Behn. "Adaptively Controlled Dynamical Behavior of Sensory Systems Based on Mechanoreceptors." International Journal of Structural Stability and Dynamics 17, no. 05 (January 12, 2017): 1740002. http://dx.doi.org/10.1142/s0219455417400028.

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This paper presents results on adaptive control strategies for a sensory system to identify (unknown) ground excitations which force the sensor and its seismic masses, so that acting forces can be measured and identified. The sensor system is modeled as a spring-mass-damper system within a rigid frame with two degrees-of-freedom. The seismic masses are under the load of internal control forces, which shall ensure stabilization of the mass point rest positions despite the continuing ground excitations. Using these (measured) resulting regulating forces, we are able to identify the excitation force. The control strategies are designed referring to the natural behavior of mechanoreceptors from biology. These are able to adapt their sensitivity to the environment, so that they filter the important information out of the flood of information. Mimicking this behavior, adaptive control strategies are used with time-varying controller gains. In this way, we are able to design controllers which are still sensitive while a constant stimuli affects. So new incoming information can be identified with a high quality. Further on, the sensor has to be universal and shall consume less energy as possible. Therefore, control strategies from literature are analyzed and modified, so that the most effective ones are used for the sensor system in this paper. Finally, the best working control strategies are tested for both their long-term behavior to an excitation which simulates different situations and for their response to different system parameters, chosen randomly.

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Grant, P. M., and C. F. N. Cowan. "Design and application of adaptive filters." Electronics and Power 31, no. 2 (1985): 157. http://dx.doi.org/10.1049/ep.1985.0107.

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Grant, Peter M., and B. Mulgrew. "Nonlinear Adaptive Filters: Design and Application." IFAC Proceedings Volumes 28, no. 13 (June 1995): 31–42. http://dx.doi.org/10.1016/s1474-6670(17)45324-9.

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Krokavec, Dušan, Anna Filasová, and Pavol Liščinský. "Unitary Approximations in Fault Detection Filter Design." Mathematical Problems in Engineering 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/7249803.

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The paper is concerned with the fault detection filter design requirements that relax the existing conditions reported in the previous literature by adapting the unitary system principle in approximation of fault detection filter transfer function matrix for continuous-time linear MIMO systems. Conditions for the existence of a unitary construction are presented under which the fault detection filter with a unitary transfer function can be designed to provide high residual signals sensitivity with respect to faults. Otherwise, reflecting the emplacement of singular values in unitary construction principle, an associated structure of linear matrix inequalities with built-in constraints is outlined to design the fault detection filter only with a Hurwitz transfer function. All proposed design conditions are verified by the numerical illustrative examples.

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Marzouk, Mohamed, and Mahmoud Hassouna. "Quality analysis using three-dimensional modelling and image processing techniques." Construction Innovation 19, no. 4 (October 7, 2019): 614–28. http://dx.doi.org/10.1108/ci-10-2018-0086.

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Purpose This paper aims to propose a system for defect detection in constructed elements that is able to indicate deformity positions. It also evaluates the defects in finishing materials of constructed building elements to support the subjective visual quality investigation of the aesthetics of an architectural work. Design/methodology/approach This strategy depends on defect features analysis that evaluates the defect value in digital images using digital image processing methods. The research uses the three-dimensional (3D) modeling techniques and image processing algorithms to generate a system that is able to perform some of the monitoring activities by computers. Based on the collected site scans, a 3D model is created for the building. Then, several images can be exported from the 3D model to investigate a specific element. Different image denoizing techniques are compared such as mean filter, median filter, Wiener filter and Split–Bregman iterations. The most efficient technique is implemented in the system. Then, the following six different methods are used for image segmentation to separate the concerned object from the background; color segmentation, region growing segmentation, histogram segmentation, local standard deviation segmentation, adaptive threshold segmentation and mean-shift cluster segmentation. Findings The proposed system is able to detect the cracks and defected areas in finishing works and calculate the percentage of the defected area compared to the total captured area in the photo with high accuracy. Originality/value The proposed system increases the precision of decision-making by decreasing the contribution of human subjective judgment. Investigation of different finishing surfaces is applied to validate the proposed system.

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Hao, Zhisong, Chaoyu He, Min Jia, and Leilei Wu. "Design of multichannel adaptive filter by constructing multidimensional Wiener-Hopf equation." China Communications 19, no. 7 (July 2022): 124–34. http://dx.doi.org/10.23919/jcc.2022.07.011.

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Clarke, D. W. "On the design of adaptive notch filters." International Journal of Adaptive Control and Signal Processing 15, no. 7 (2001): 715–44. http://dx.doi.org/10.1002/acs.652.

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Liu, Qing Song, and Jia Tong. "Design of the Adaptive Filter Based Mind Evolutionary Computation." Advanced Materials Research 225-226 (April 2011): 65–69. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.65.

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This paper describes the basic idea of Mind Evolutionary Computation and its advantages, the basic steps of the algorithm .The optimal adaptive filters are design based on MEC, which don’t need any priori statistical knowledge of signal and noise, and the parameters of adaptive filters can be automatically adjusted to the best in accordance with certain criteria. Simulation results show that the proposed method can quickly design effective optimal adaptive filters.

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Piyachaiyakul, N., and C. Charoenlarpnopparut. "Design of three-dimensional adaptive IIR notch filters." Multidimensional Systems and Signal Processing 24, no. 3 (December 24, 2011): 435–46. http://dx.doi.org/10.1007/s11045-011-0170-3.

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Muneyasu, Mitsuji, Yoshihiro Yasui, and Takao Hinamoto. "Design of adaptive stack filters using pattern classification." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 82, no. 4 (April 1999): 38–47. http://dx.doi.org/10.1002/(sici)1520-6440(199904)82:4<38::aid-ecjc5>3.0.co;2-3.

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Paparao, Palacharla, Anjan Ghosh, and Susan D. Allen. "Design and performance optimization of fiber optic adaptive filters." Applied Optics 30, no. 14 (May 10, 1991): 1826. http://dx.doi.org/10.1364/ao.30.001826.

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Nalli, Praveen Kumar, Kalyan Sagar Kadali, Ramu Bhukya, Y. T. R. Palleswari, Asapu Siva, and S. Pragaspathy. "Design of Exponentially Weighted Median Filter Cascaded With Adaptive Median Filter." Journal of Physics: Conference Series 2089, no. 1 (November 1, 2021): 012020. http://dx.doi.org/10.1088/1742-6596/2089/1/012020.

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Abstract The objective of this paper is to design an II phase algorithm employing median filters for enlightening the performance in removing impulse noise during the processing of the image. The cascaded filter section employs an Adaptive median filter in the first phase followed by a Recursive weighted median filter (RWM) in the second phase. The RWM filter weight is selected with the Median Controlled Algorithm. As a design parameter, the exponential weights of RWM filters are used in the feedback path. The projected algorithm can achieve suggestively improved quality of image when compared to fixed weight or the Center Weighted Median filters.

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Kober, V., M. Mozerov, and I. A. Ovseevich. "Adaptive correlation filters for pattern recognition." Pattern Recognition and Image Analysis 16, no. 3 (July 2006): 425–31. http://dx.doi.org/10.1134/s1054661806030126.

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Li, Frederick W. B., Rynson W. H. Lau, and Parthiban Dharmendran. "An Adaptive Course Generation Framework." International Journal of Distance Education Technologies 8, no. 3 (July 2010): 47–64. http://dx.doi.org/10.4018/jdet.2010070104.

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Existing adaptive e-learning methods are supported by student (user) profiling for capturing student characteristics, and course structuring for organizing learning materials according to topics and levels of difficulties. Adaptive courses are then generated by extracting materials from the course structure to match the criteria specified in the student profiles. In addition, to handle advanced student characteristics, such as learning styles, course material annotation and programming-based decision rules are typically used. However, these additives demand certain programming skills from an instructor to proceed with course construction; they may also require building multiple course structures to handle practical pedagogical needs. In this paper, the authors propose a framework based on the concept space and the concept filters to support adaptive course generation where comprehensive student characteristics are considered. The concept space is a data structure for modeling student and course characteristics, while the concept filters are modifiers to determine how the course should be delivered. Because of the “building block” nature of the concept nodes and the concept filters, the proposed framework is extensible. More importantly, the authors’ framework does not require instructors to equip with any programming skills when they construct adaptive e-learning courses.

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28

Patel, Vinal, Vaibhav Gandhi, Shashank Heda, and Nithin V. George. "Design of Adaptive Exponential Functional Link Network-Based Nonlinear Filters." IEEE Transactions on Circuits and Systems I: Regular Papers 63, no. 9 (September 2016): 1434–42. http://dx.doi.org/10.1109/tcsi.2016.2572091.

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Mula, Subrahmanyam, Vinay Chakravarthi Gogineni, and Anindya Sundar Dhar. "Algorithm and Architecture Design of Adaptive Filters With Error Nonlinearities." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25, no. 9 (September 2017): 2588–601. http://dx.doi.org/10.1109/tvlsi.2017.2702171.

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Alwan, Nuha A. S., and Bakir A. R. Al-Hashemy. "Systolic design of frequency-domain block LMS adaptive digital filters." Computers & Electrical Engineering 24, no. 3-4 (May 1998): 263–75. http://dx.doi.org/10.1016/s0045-7906(97)00034-7.

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Chien, Ying-Ren. "Design of GPS Anti-Jamming Systems Using Adaptive Notch Filters." IEEE Systems Journal 9, no. 2 (June 2015): 451–60. http://dx.doi.org/10.1109/jsyst.2013.2283753.

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Najafi, Ali, Behrouz Farhang-Boroujeny, and Ganesh S. Samudra. "A VLSI Design for Implementation of Transform Domain Adaptive Filters." VLSI Design 9, no. 2 (January 1, 1999): 119–33. http://dx.doi.org/10.1155/1999/87231.

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A VLSI implementation of a dedicated digital signal processor is presented. The processor is tailored for efficient implementation of transform domain adaptive filters. It incorporates a butterfly processor which performs butterfly operation to implement the required transformation. It is also able to perform complex addition, subtraction and multiplication. The butterfly processor makes use of a redundant binary tree multiplier with a recently proposed coding of signed-digit numbers which reduces the number of levels in the tree by one. An on-chip read only memory holds the transformation coefficients. The contents of the ROM determine the type of transform. The processor incorporates an ALU to perform integer arithmetic, address calculations and implementation of circular memory scheme. For fastest accessibility, the essential variables of the algorithm are implemented in a register fire.

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P S, Radhika, and Porutchelvam N. "Architecture Design for an Adaptive Equalizer using LMS 2Tap filters." International Journal of VLSI & Signal Processing 2, no. 1 (April 25, 2015): 6–8. http://dx.doi.org/10.14445/23942584/ijvsp-v2i1p102.

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Plataniotis, K. N., D. Androutsos, S. Vinayagamoorthy, and A. N. Venetsanopoulos. "Color image processing using adaptive multichannel filters." IEEE Transactions on Image Processing 6, no. 7 (July 1997): 933–49. http://dx.doi.org/10.1109/83.597269.

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El-Gayed, N. A., M. Abdel-Rahman, and M. F. Fahmy. "Iterative design of two-channel IIR perfect construction QMG filters." International Journal of Circuit Theory and Applications 26, no. 5 (September 1998): 453–62. http://dx.doi.org/10.1002/(sici)1097-007x(199809/10)26:5<453::aid-cta24>3.0.co;2-3.

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Saleh, A. I., M. F. Fahmy, G. A. Raheem, and G. F. Fahmy. "On the design of two channel perfect construction QMF filters." International Journal of Circuit Theory and Applications 28, no. 3 (May 2000): 209–24. http://dx.doi.org/10.1002/(sici)1097-007x(200005/06)28:3<209::aid-cta95>3.0.co;2-w.

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37

Glushankov, E., and V. Tsarik. "Quality Analysis of Space and Space-Frequency Adaptive Signal Processing Algorithms in Satellite Navigation Systems." Proceedings of Telecommunication Universities 8, no. 3 (October 5, 2022): 37–43. http://dx.doi.org/10.31854/1813-324x-2022-8-3-37-43.

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The problem of interference mitigation in satellite navigation signals is considered. Construction algorithms for space- and space-frequency adaptive filters are described. The processing of real satellite signals with broadband interference by means of the constructed filters is carried out in MATLAB. As a result of comparing different processing quality indicators, the most efficient filtering algorithms are identified.

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Jung, Seojin, and Jooyoun Kim. "Advanced Design of Fiber-Based Particulate Filters: Materials, Morphology, and Construction of Fibrous Assembly." Polymers 12, no. 8 (July 30, 2020): 1714. http://dx.doi.org/10.3390/polym12081714.

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With increasing air pollution and sporadic outbreaks of epidemics, there is ramping attention on the filtration devices. The main constituents of airborne pollutants are particulate matters of solid particles, liquid aerosol, bioaerosol/bio-droplets, and gas/vapor. With the growing demand for high-performance filters, novel materials and functionalities are being developed applying advanced technologies. In this paper, recent developments of fiber-based particulate filters are reviewed, with a focus on the important performance parameters and material properties. Trends in technology and research activities are briefly reviewed, and the evaluative measures of filtration performance are reported. Recent studies on the advanced filter materials are reviewed in the aspect of polymers and the fabrication process of fibrous assembly. The characterization method including 3D modeling and simulation is also briefly introduced. Multifunctional filters such as antimicrobial filter and gas and particulate filters are briefly introduced, and efforts for developing environmentally sustainable filters are noted.

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Martínez-Diaz, Saul, Vitaly Kober, and I. A. Ovseyevich. "Adaptive nonlinear composite filters for pattern recognition." Pattern Recognition and Image Analysis 18, no. 4 (December 2008): 613–20. http://dx.doi.org/10.1134/s1054661808040135.

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40

Bruton, L., and N. Bartley. "The design of highly selective adaptive three-dimensional recursive cone filters." IEEE Transactions on Circuits and Systems 34, no. 7 (July 1987): 775–81. http://dx.doi.org/10.1109/tcs.1987.1086214.

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Al-Naffouri, Tareq Y., and Ali H. Sayed. "Adaptive Filters with Error Nonlinearities: Mean-Square Analysis and Optimum Design." EURASIP Journal on Advances in Signal Processing 2001, no. 4 (2001): 192–205. http://dx.doi.org/10.1155/s1110865701000348.

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Kusljevic, M. D. "A Simple Method for Design of Adaptive Filters for Sinusoidal Signals." IEEE Transactions on Instrumentation and Measurement 57, no. 10 (October 2008): 2242–49. http://dx.doi.org/10.1109/tim.2008.919909.

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Dixit, Shubhra, and Deepak Nagaria. "Design and Analysis of Cascaded LMS Adaptive Filters for Noise Cancellation." Circuits, Systems, and Signal Processing 36, no. 2 (May 23, 2016): 742–66. http://dx.doi.org/10.1007/s00034-016-0332-5.

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Dharmawan, Dhimas Arief, Boon Poh Ng, and Narong Borijindargoon. "Design of Optimal Adaptive Filters for Two-Dimensional Filamentary Structures Segmentation." IEEE Signal Processing Letters 26, no. 10 (October 2019): 1511–15. http://dx.doi.org/10.1109/lsp.2019.2938631.

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Kajikawa, Yoshinobu, and Yasuo Nomura. "Design of nonlinear inverse systems by means of adaptive Volterra filters." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 80, no. 8 (August 1997): 36–45. http://dx.doi.org/10.1002/(sici)1520-6440(199708)80:8<36::aid-ecjc5>3.0.co;2-z.

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Demetriou, Michael A. "Design of consensus and adaptive consensus filters for distributed parameter systems." Automatica 46, no. 2 (February 2010): 300–311. http://dx.doi.org/10.1016/j.automatica.2009.11.015.

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Sakshi and Ravi Kumar. "A Novel Design and FPGA Implementation of Filters Adapted Using LMS Variants." Journal of Circuits, Systems and Computers 27, no. 08 (April 12, 2018): 1850125. http://dx.doi.org/10.1142/s0218126618501256.

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Adaptive filters have wide range of applications in areas such as echo or interference cancellation, prediction and system identification. Due to high computational complexity of adaptive filters, their hardware implementation is not an easy task. However, it becomes essential in many cases where real-time execution is needed. This paper presents the design and hardware implementation of a variable step size 40 order adaptive filter for de-noising acoustic signals. To ensure an area efficient implementation, a novel structure is being proposed. The proposed structure eliminates the requirement of extra registers for storage of delayed inputs thereby reducing the silicon area. The structure is compared with direct-form and transposed-form structures by adapting the filter coefficients using four different variants of the least means square (LMS) algorithm. Subsequently, the filters are implemented on three different field programmable gate arrays (FPGAs) viz. Spartan 6, Virtex 6 and Virtex 7 to find out the best device family that can be used to implement an Adaptive noise canceller (ANC) by comparing speed, power and area utilization. The synthesis results clearly reveal that ANC designed using the proposed structure has resulted in a reduction in silicon area without incurring any significant overhead in terms of power or delay.

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Lee, Jaewook, Yongwook Jeong, Minho Oh, and Seung Wan Hong. "A Filter-Mediated Communication Model for Design Collaboration in Building Construction." Scientific World Journal 2014 (2014): 1–20. http://dx.doi.org/10.1155/2014/808613.

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Multidisciplinary collaboration is an important aspect of modern engineering activities, arising from the growing complexity of artifacts whose design and construction require knowledge and skills that exceed the capacities of any one professional. However, current collaboration in the architecture, engineering, and construction industries often fails due to lack of shared understanding between different participants and limitations of their supporting tools. To achieve a high level of shared understanding, this study proposes a filter-mediated communication model. In the proposed model, participants retain their own data in the form most appropriate for their needs with domain-specific filters that transform the neutral representations into semantically rich ones, as needed by the participants. Conversely, the filters can translate semantically rich, domain-specific data into a neutral representation that can be accessed by other domain-specific filters. To validate the feasibility of the proposed model, we computationally implement the filter mechanism and apply it to a hypothetical test case. The result acknowledges that the filter mechanism can let the participants know ahead of time what will be the implications of their proposed actions, as seen from other participants’ points of view.

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Venkatesh, S. "Design and Implementation of Grid Connected Solar Inverter using Adaptive Harmonic Elimination Technique." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 5123–29. http://dx.doi.org/10.22214/ijraset.2021.36082.

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Our project mainly focuses work a lot being carried out in the ﬁeld of distributed generation. For the electric grid, so Many distributed generation systems are being made. At this time when the non-renewable sources of energy such as oil, coal, etc are very fast disappearing, a study of distributed generation systems (DGs) and Establishing of such systems using renewable sources of energy becomes very important. we have seen several major problems will happen, when harmonic content of the current is flows into the grid, like this issue several issues are going to meet. When a Distribution Generation source is being linked to the grid. “The current being injected should have harmonic content conforming to standards such as IEEE 512-1992”[1].To limit the harmonic current injected into the grid. The hardware is tailor-made to be used for a solar PV panels based distributed generation system. This project deals mainly with Establishing the hardware for a grid connected inverter. This means that a proper plan of action should be present in the required system, special type of filters are made to abolish higher order harmonics, this is only the reason why filters would be less bulky and cheap. only the higher order harmonics are decreased by specially made filters, Lower order harmonics are attenuated by a technique called “an adaptive harmonic elimination technique (AHE). In our project we need to develop several blocks called the inverter hardware, design and implementation of closed loop control, transformer, the filters along with adaptive selective harmonic elimination scheme

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Ali, Ekbal Hussain, Ahmed Hameed Reja, and Layla H. Abood. "Design hybrid filter technique for mixed noise reduction from synthetic aperture radar imagery." Bulletin of Electrical Engineering and Informatics 11, no. 3 (June 1, 2022): 1325–31. http://dx.doi.org/10.11591/eei.v11i3.3708.

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For military and civilian applications, synthetic aperture radar (SAR) imaging is an essential instrument for obtaining images of the Earth's surface. Speckle noise, a form of noise that is multiplicative, generated by conflicting echoes returned from each pixel, has a significant impact on the SAR picture. On SAR pictures, a hybrid filter for mixed noise reduction is used to remove the mixed noises that are present in the data during capture and transmission. Specifically, speckle noise and salt and pepper noises from SAR images. Both are being worked on at the same time to minimize mixed noise in SAR pictures without revealing edges or other features. This study proposes a technique that combines a hybrid filter derived from a statistics filters with nonlinear functions (SFNF). When comparing to mean, median as no adaptive filters, and frost filter, a lee filter, and fuzzy filters as adaptive filters, this hybrid filter produces good results. MATLAB was used to carry out the simulation. To illustrate the filtering technique's performance, quantitative measurements like signal to noise ratio (SNR) procedure, the mean square error (MSE) method, and edge measurement (β) mechanization are used.

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