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Journal articles on the topic 'Information filters'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

Lu, Feng, Yihuan Huang, Jinquan Huang, and Xiaojie Qiu. "Gas turbine performance monitoring based on extended information fusion filter." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 2 (2018): 483–97. http://dx.doi.org/10.1177/0954410018776398.

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Performance monitoring is a critical issue for gas turbine engine for improving the operation safety and reducing the maintenance cost. With regard to this, variants of Kalman-filters-based state estimation have been employed to detect gas turbine performance, but the classical centralized Kalman filters are subject to heavy computational effort and poor fault tolerance. A novel nonlinear fusion filter algorithm using information description with distributed architecture is proposed and applied to gas turbine performance monitoring. This methodology is developed from federated Kalman filter, a

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Kumar, B. V. K. Vijaya. "Partial Information Filters." Digital Signal Processing 4, no. 3 (1994): 147–53. http://dx.doi.org/10.1006/dspr.1994.1014.

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Newton, Nigel J. "Information geometric nonlinear filtering." Infinite Dimensional Analysis, Quantum Probability and Related Topics 18, no. 02 (2015): 1550014. http://dx.doi.org/10.1142/s0219025715500149.

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This paper develops information geometric representations for nonlinear filters in continuous time. The posterior distribution associated with an abstract nonlinear filtering problem is shown to satisfy a stochastic differential equation on a Hilbert information manifold. This supports the Fisher metric as a pseudo-Riemannian metric. Flows of Shannon information are shown to be connected with the quadratic variation of the process of posterior distributions in this metric. Apart from providing a suitable setting in which to study such information-theoretic properties, the Hilbert manifold has

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Horvath, Alexander, Michael Murböck, Roland Pail, and Martin Horwath. "Decorrelation of GRACE Time Variable Gravity Field Solutions Using Full Covariance Information." Geosciences 8, no. 9 (2018): 323. http://dx.doi.org/10.3390/geosciences8090323.

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In this study the feasibility and performance of time variable decorrelation (VADER) filters derived from covariance information on decadal Gravity Recovery and Climate Experiment (GRACE) time series are investigated. The VADER filter is based on publicly available data that are provided by several GRACE processing centers, and does not need its own Level-2 processing chain. Numerical closed loop simulations, incorporating stochastic and deterministic error budgets, serve as basis for the design of the filter setup, and the resulting filters are subsequently applied for real data processing. T

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Dávalos, Antonio, Meryem Jabloun, Philippe Ravier, and Olivier Buttelli. "The Impact of Linear Filter Preprocessing in the Interpretation of Permutation Entropy." Entropy 23, no. 7 (2021): 787. http://dx.doi.org/10.3390/e23070787.

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Permutation Entropy (PE) is a powerful tool for measuring the amount of information contained within a time series. However, this technique is rarely applied directly on raw signals. Instead, a preprocessing step, such as linear filtering, is applied in order to remove noise or to isolate specific frequency bands. In the current work, we aimed at outlining the effect of linear filter preprocessing in the final PE values. By means of the Wiener–Khinchin theorem, we theoretically characterize the linear filter’s intrinsic PE and separated its contribution from the signal’s ordinal information. W

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Srinivasa, K. G., N. Pramod, K. R. Venugopal, and L. M. Patnaik. "Effects of Information Filters." International Journal of Information Retrieval Research 2, no. 2 (2012): 1–12. http://dx.doi.org/10.4018/ijirr.2012040101.

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In the Internet era, information processing for personalization and relevance has been one of the key topics of research and development. It ranges from design of applications like search engines, web crawlers, learning engines to reverse image searches, audio processed search, auto complete, etc. Information retrieval plays a vital role in most of the above mentioned applications. A part of information retrieval which deals with personalization and rendering is often referred to as Information Filtering. The emphasis of this paper is to empirically analyze the information filters commonly see

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Cherepanov, Igor Vladimirovich. "Information filters of consciousness." Interactive science, no. 3 (13) (March 22, 2017): 149–52. http://dx.doi.org/10.21661/r-118099.

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SHUI, PENG-LANG, and XIAO-LONG WANG. "2M-BAND INTERLEAVED DFT MODULATED FILTER BANKS WITH PERFECT RECONSTRUCTION." International Journal of Wavelets, Multiresolution and Information Processing 06, no. 04 (2008): 499–520. http://dx.doi.org/10.1142/s021969130800246x.

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In this paper, we propose a new family of perfect reconstruction (PR) complex filter banks, named interleaved discrete Fourier transform modulated filter banks (Interleaved DFT-FBs). In the filter banks, the analysis filters are generated by interlaced exponential modulating two different analysis prototype filters, and the synthesis filters are generated by two different synthesis prototype filters via the same manner. The filter banks have a simple polyphase structure similar to DFT modulated filter banks (DFT-FBs). More importantly, the proposed Interleaved DFT-FBs can achieve critically sa

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Lefebvre, Carol, Julie Glanville, Sophie Beale, et al. "Assessing the performance of methodological search filters to improve the efficiency of evidence information retrieval: five literature reviews and a qualitative study." Health Technology Assessment 21, no. 69 (2017): 1–148. http://dx.doi.org/10.3310/hta21690.

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BackgroundEffective study identification is essential for conducting health research, developing clinical guidance and health policy and supporting health-care decision-making. Methodological search filters (combinations of search terms to capture a specific study design) can assist in searching to achieve this.ObjectivesThis project investigated the methods used to assess the performance of methodological search filters, the information that searchers require when choosing search filters and how that information could be better provided.MethodsFive literature reviews were undertaken in 2010/1

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Rohini, R., N. V. Satya Narayana, and Durgesh Nandan. "A Crystal View on the Design of FIR Filter." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 4235–38. http://dx.doi.org/10.1166/jctn.2020.9052.

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In audio and video signal processing main element is the FIR filter. This paper presents complete information regarding the FIR filters. It also focuses on the design of FIR filters which provide low-area, energy-delay, low-power consumption, high-speed, low critical path, and low complexity. Implementation of FIR filters with different methods like memory-based VLSI architecture, filters for sampling rate conversion, linear phase FIR filters, optimal hybrid form FIR filters, Nyquist filters, hybrid multiplier less FIR filters, low complexity FIR filters, variable partition hybrid form FIR fil

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Wang, Lijun, and Sisi Wang. "High Degree Cubature Federated Filter for Multisensor Information Fusion with Correlated Noises." Mathematical Problems in Engineering 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/5252487.

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This paper proposes an improved high degree cubature federated filter for the nonlinear fusion system with cross-correlation between process and measurement noises at the same time using the fifth-degree cubature rule and the decorrelated principle in its local filters. The master filter of the federated filter adopts the no-reset mode to fuse local estimates of local filters to generate a global estimate according to the scalar weighted rule. The air-traffic maneuvering target tracking simulations are performed between the proposed filter and the fifth-degree cubature federated filter. Simula

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Schauland, Sam, Joerg Velten, and Anton Kummert. "Detection of Moving Objects in Image Sequences using 3D Velocity Filters." International Journal of Applied Mathematics and Computer Science 18, no. 1 (2008): 21–31. http://dx.doi.org/10.2478/v10006-008-0002-2.

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Detection of Moving Objects in Image Sequences using 3D Velocity FiltersA movement analysis of objects contained in visual scenes can be performed by means of linear multidimensional filters, which have already been analyzed in the past. While the soundness of the results was convincing, interest in those systems declined due to the limited computational power of contemporary computers. Recent advances in design and implementation of integrated circuits and hardware architectures allow realizing velocity filters if then-D system is carefully adapted to the analyzed problem. In this paper, the

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Rowlett, Russell J. "Abstracts and other information filters." Journal of Chemical Information and Modeling 25, no. 3 (1985): 159–63. http://dx.doi.org/10.1021/ci00047a005.

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Arce-Guevara, Valdemar E., Alfonso Alba-Cadena, and Martín O. Mendez. "Study of quadrature FIR filters for extraction of low-frequency instantaneous information in biophysical signals." International Journal of Modern Physics C 28, no. 05 (2017): 1750065. http://dx.doi.org/10.1142/s0129183117500656.

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Quadrature bandpass filters take a real-valued signal and output an analytic signal from which the instantaneous amplitude and phase can be computed. For this reason, they represent a useful tool to extract time-varying, narrow-band information from electrophysiological signals such as electroencephalogram (EEG) or electrocardiogram. One of the defining characteristics of quadrature filters is its null response to negative frequencies. However, when the frequency band of interest is close to 0 Hz, a careless filter design could let through negative frequencies, producing distortions in the amp

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Kelly, Kate. "Applying the Narrow Forms of PubMed Methods-based and Topic-based Filters Increases Nephrologists’ Search Efficiency." Evidence Based Library and Information Practice 7, no. 3 (2012): 95. http://dx.doi.org/10.18438/b8cg7n.

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Objective – To determine whether the use of PubMed methods-based filters and topic-based filters, alone or in combination, improves physician searching.  Design – Mixed methods, survey questionnaire, comparative.  Setting – Canada.  Subjects – Random sample of Canadian nephrologists (n=153), responses (n=115), excluded (n=15), total (n=100).  Methods – The methods are described in detail in a previously published study protocol by a subset of the authors (Shariff et al., 2010).   One hundred systematic reviews on renal therapy were id

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Breda, I. L., L. Ramsay, D. A. Søborg, R. Dimitrova, and P. Roslev. "Manganese removal processes at 10 groundwater fed full-scale drinking water treatment plants." Water Quality Research Journal 54, no. 4 (2019): 326–37. http://dx.doi.org/10.2166/wqrj.2019.006.

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Abstract Manganese (Mn) removal in drinking water filters is facilitated by biological and physico-chemical processes. However, there is limited information about the dominant processes for Mn removal in full-scale matured filters with different filter materials over filter depth. Water and filter material samples were collected from 10 full-scale drinking water treatment plants (DWTPs) to characterise the Mn removal processes, to evaluate the potential use of enhancers and to gain further insight on operational conditions of matured filters for the efficient Mn removal. The first-order Mn rem

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Li, J., and Z. Lu. "Developing Topic-specific Search Filters for PubMed with Click-through Data." Methods of Information in Medicine 52, no. 05 (2013): 395–402. http://dx.doi.org/10.3414/me12-01-0054.

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SummaryObjectives: Search filters have been developed and demonstrated for better information access to the immense and ever-growing body of publications in the biomedical domain. However, to date the number of filters remains quite limited because the current filter development methods require significant human efforts in manual document review and filter term selection. In this regard, we aim to investigate automatic methods for generating search filters.Methods: We present an automated method to develop topic-specific filters on the basis of users’ search logs in PubMed. Specifically, for a

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Al-Radaideh, Qasem A., Ahmed F. AlEroud, and Emad M. Al-Shawakfa. "A hybrid approach to detecting alerts in Arabic e-mail messages." Journal of Information Science 38, no. 1 (2012): 87–99. http://dx.doi.org/10.1177/0165551511423151.

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Detecting alert e-mails received daily by millions of subscribers from online news providers is a relatively new area of research which falls within the e-mail filtering field of research. Alert e-mails may address government, political issues, breaking news, and criminal attacks. This article proposes a hybrid approach based on both the Graham statistical filter and rule-based filters to detect and filter Arabic alert e-mails. The approach is basically language-independent. To test the performance of the proposed approach, several experiments have been conducted using a set of 1500 Arabic mes

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Psiaki, Mark L. "The Square Root Information Increment Ensemble Filter." Monthly Weather Review 144, no. 12 (2016): 4667–86. http://dx.doi.org/10.1175/mwr-d-15-0295.1.

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Abstract A new type of ensemble filter is developed, one that stores and updates its state information in an efficient square root information filter form. It addresses two shortcomings of conventional ensemble Kalman filters: the coarse characterization of random forecast model error effects and the overly optimistic approximation of the estimation error statistics. The new filter uses an assumed a priori covariance approximation that is full rank but sparse, possibly with a dense low-rank increment. This matrix can be used to develop a nominal square root information equation for the system

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Wang, Yintao, Junbing Li, and Qi Sun. "Coordinated Target Tracking by Distributed Unscented Information Filter in Sensor Networks with Measurement Constraints." Mathematical Problems in Engineering 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/402732.

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Tracking a target in a cluttered environment is a representative application of sensor networks. In this paper, we develop a distributed approach to estimate the motion states of a target using noisy measurements. Our method consists of two parts. In first phase, using the unscented sigma-point transformation techniques and information filter framework, a class of algorithms denoted as unscented information filters was developed to estimate the states of a target to be tracked. These techniques exhibit robustness and accuracy of sigma-point filters for nonlinear dynamic inference while being a

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21

de Raadt, J. D. R. "Cybernetic Filters and Management Information Systems." Kybernetes 21, no. 3 (1992): 16–32. http://dx.doi.org/10.1108/eb005926.

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Stevens, Curt. "Automating the creation of information filters." Communications of the ACM 35, no. 12 (1992): 48. http://dx.doi.org/10.1145/138859.138863.

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Stadnyk, Irene, and Robert Kass. "Modeling users' interests in information filters." Communications of the ACM 35, no. 12 (1992): 49–50. http://dx.doi.org/10.1145/138859.138864.

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Rowe, N. C., and A. Zaky. "Load balancing of parallelized information filters." IEEE Transactions on Knowledge and Data Engineering 14, no. 2 (2002): 456–61. http://dx.doi.org/10.1109/69.991730.

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Zhang, Huanchen, Hyeontaek Lim, Viktor Leis, et al. "Succinct Range Filters." ACM Transactions on Database Systems 45, no. 2 (2020): 1–31. http://dx.doi.org/10.1145/3375660.

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Ince, Ibrahim Furkan, Omer Faruk Ince, and Faruk Bulut. "MID Filter: An Orientation-Based Nonlinear Filter For Reducing Multiplicative Noise." Electronics 8, no. 9 (2019): 936. http://dx.doi.org/10.3390/electronics8090936.

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In this study, an edge-preserving nonlinear filter is proposed to reduce multiplicative noise by using a filter structure based on mathematical morphology. This method is called the minimum index of dispersion (MID) filter. MID is an improved and extended version of MCV (minimum coefficient of variation) and MLV (mean least variance) filters. Different from these filters, this paper proposes an extra-layer for the value-and-criterion function in which orientation information is employed in addition to the intensity information. Furthermore, the selection function is re-modeled by performing lo

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Vizilter, Y. V., A. Y. Rubis, and S. Y. Zheltov. "CHANGE DETECTION VIA SELECTIVE GUIDED CONTRASTING FILTERS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 403–10. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-403-2017.

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Change detection scheme based on guided contrasting was previously proposed. Guided contrasting filter takes two images (test and sample) as input and forms the output as filtered version of test image. Such filter preserves the similar details and smooths the non-similar details of test image with respect to sample image. Due to this the difference between test image and its filtered version (difference map) could be a basis for robust change detection. Guided contrasting is performed in two steps: at the first step some smoothing operator (SO) is applied for elimination of test image details

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NEUMANN, JULIA, and GABRIELE STEIDL. "DUAL-TREE COMPLEX WAVELET TRANSFORM IN THE FREQUENCY DOMAIN AND AN APPLICATION TO SIGNAL CLASSIFICATION." International Journal of Wavelets, Multiresolution and Information Processing 03, no. 01 (2005): 43–65. http://dx.doi.org/10.1142/s0219691305000749.

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We examine Kingsbury's dual-tree complex wavelet transform in the frequency domain where it can be formulated for standard wavelet filters without special filter design. We prove that the dual-tree filter bank construction leads to wavelets with vanishing negative frequency parts, present numerical examples illustrating the improvement of translation and rotation invariance for various standard wavelet filters and apply the method to the classification of signals.

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Chang, R. J. "Precomputed-Gain Nonlinear Filters for Nonlinear Systems With State-Dependent Noise." Journal of Dynamic Systems, Measurement, and Control 112, no. 2 (1990): 270–75. http://dx.doi.org/10.1115/1.2896135.

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Two precomputed-gain nonlinear filters are proposed for estimating the states of nonlinear systems corrupted by both external and parametric noises and subjected to linear noisy measurement systems. The exact nonlinear filters are first formulated through the Kolmogorov and Kushner’s equations. The concepts of equivalent external excitation combined with statistical linearization or local linearization are then employed to derive two precomputed-gain nonlinear filters. The resulting filters are shown to have the same structure as that of extended Kalman filter but filter-gain histories can be

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Sun, Z., and Y. Song. "STRUCTURAL INFORMATION DETECTION BASED FILTER FOR GF-3 SAR IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 1617–21. http://dx.doi.org/10.5194/isprs-archives-xlii-3-1617-2018.

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GF-3 satellite with high resolution, large swath, multi-imaging mode, long service life and other characteristics, can achieve allweather and all day monitoring for global land and ocean. It has become the highest resolution satellite system in the world with the C-band multi-polarized synthetic aperture radar (SAR) satellite. However, due to the coherent imaging system, speckle appears in GF-3 SAR images, and it hinders the understanding and interpretation of images seriously. Therefore, the processing of SAR images has big challenges owing to the appearance of speckle. The high-resolution SA

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Meslati, Djamel. "On ASPECTJ and Composition Filters: A Mapping of Concepts." Informatica 20, no. 4 (2009): 555–78. http://dx.doi.org/10.15388/informatica.2009.266.

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Rokke, Carolyn M. "Internet Filters." Journal of Interlibrary Loan, Document Delivery & Information Supply 9, no. 4 (1999): 15–18. http://dx.doi.org/10.1300/j110v09n04_03.

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HUANG, CHAO, LIHUA YANG, and YANG WANG. "CONVERGENCE OF A CONVOLUTION-FILTERING-BASED ALGORITHM FOR EMPIRICAL MODE DECOMPOSITION." Advances in Adaptive Data Analysis 01, no. 04 (2009): 561–71. http://dx.doi.org/10.1142/s1793536909000205.

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Lin et al. propose the iterative Toeplitz filters algorithm as an alternative iterative algorithm for Empirical Mode Decomposition (EMD). In this alternative algorithm, the average of the upper and lower envelopes is replaced by certain "moving average" obtained through a low-pass filter. Performing the traditional sifting algorithm with such moving averages is equivalent to iterating certain convolution filters (finite length Toeplitz filters). This paper studies the convergence of this algorithm for signals of continuous variables, and proves that the limit function of this iterative algorit

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Breslow, Alex D., and Nuwan S. Jayasena. "Morton filters: fast, compressed sparse cuckoo filters." VLDB Journal 29, no. 2-3 (2019): 731–54. http://dx.doi.org/10.1007/s00778-019-00561-0.

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Sivakumar, K., Sakthiraam B, Santosh Snehal. V, and Yogashivasankarri S. "Comparative analysis of elementary and edge-preserving spatial filters in noise removal – a comprehensive study." Journal of University of Shanghai for Science and Technology 23, no. 06 (2021): 1244–51. http://dx.doi.org/10.51201/jusst/21/06448.

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Preserving the edges and information is one of the main purposes of edge-preserving filters. That is, they’re employed to smooth a picture, and minimize halos, phantoms, and edge blur over the edge. They have a nonlinear relationship between one thing and another. Bilateral filters, anisotropic diffusion filters, directed filters, and trilateral filters are all types of example filters. The filter family may be used in a wide range of image processing tasks, such as denoising, video abstraction, demosaicing, optical flow estimation, stereo matching, tone mapping, style transfer, relighting, an

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Li, Mingai, Ruotu Wang, Jinfu Yang, and Lijuan Duan. "An Improved Refined Composite Multivariate Multiscale Fuzzy Entropy Method for MI-EEG Feature Extraction." Computational Intelligence and Neuroscience 2019 (March 28, 2019): 1–12. http://dx.doi.org/10.1155/2019/7529572.

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Feature extraction of motor imagery electroencephalogram (MI-EEG) has shown good application prospects in the field of medical health. Also, multivariate entropy-based feature extraction methods have been gradually applied to analyze complex multichannel biomedical signals, such as EEG and electromyography. Compared with traditional multivariate entropies, refined composite multivariate multiscale fuzzy entropy (RCmvMFE) overcomes the defect of unstable entropy values caused by the scale factor increase and is beneficial towards obtaining richer feature information. However, the coarse-grained

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Zhang, Huanchen, Hyeontaek Lim, Viktor Leis, David G. Andersen, Kimberly Keeton, and Andrew Pavlo. "Succinct Range Filters." ACM SIGMOD Record 48, no. 1 (2019): 78–85. http://dx.doi.org/10.1145/3371316.3371335.

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Aguilar-Saborit, J., P. Trancoso, V. Muntes-Mulero, and J. L. Larriba-Pey. "Dynamic count filters." ACM SIGMOD Record 35, no. 1 (2006): 26–32. http://dx.doi.org/10.1145/1121995.1122000.

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Stelmach, Jacek. "On Using a Genetic Algorithm in the Designing of Linear Digital Filters." Acta Universitatis Lodziensis. Folia Oeconomica 1, no. 346 (2020): 113–24. http://dx.doi.org/10.18778/0208-6018.346.07.

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Digital filters, either as filters with moving average (Finite Impulse Response) or autoregressive filters (Infinite Impulse Response), are widely used in noise suppression, signal processing or extracting information from data streams. Although well‑known theory allows for optimal parameter selection, there still exist such real applications where requirements limit the use of digital filters. One of the most important limitations is the response time delay caused by too many used lagged input signals. The method proposed in the article allows us to estimate filter parameters with a genetic a

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Chen, Nan, and Andrew J. Majda. "Model Error in Filtering Random Compressible Flows Utilizing Noisy Lagrangian Tracers." Monthly Weather Review 144, no. 11 (2016): 4037–61. http://dx.doi.org/10.1175/mwr-d-15-0438.1.

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Abstract Lagrangian tracers are drifters and floaters that collect real-time information of fluid flows. This paper studies the model error in filtering multiscale random rotating compressible flow fields utilizing noisy Lagrangian tracers. The random flow fields are defined through random amplitudes of Fourier eigenmodes of the rotating shallow-water equations that contain both incompressible geostrophically balanced (GB) flows and rotating compressible gravity waves, where filtering the slow-varying GB flows is of primary concern. Despite the inherent nonlinearity in the observations with mi

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Smith, Benjamin, Steven Hoff, Jay Harmon, Daniel Andersen, Jeffrey Zimmerman, and John Stinn. "Quantification of Site Layout and Filter Characteristics on Primary Filter Airflow Reduction on Commercial Swine Sites in Iowa." AgriEngineering 1, no. 2 (2019): 291–302. http://dx.doi.org/10.3390/agriengineering1020022.

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Fresh air intake filtration is used on commercial swine breeding-gestation-farrowing farms to reduce the frequency of airborne infectious agents. For swine producers, porcine reproductive and respiratory syndrome virus (PRRSV), influenza A virus and Mycoplasma hyopneumoniae are considered the most economically challenging airborne pathogens. Reduced frequency of disease outbreaks has been attributed to retrofitting existing systems with filtration. Economic analysis of operating costs includes energy use, maintenance and replacement of filters. Filter replacement, the largest operational cost,

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You, Yanan, Rui Wang, and Wenli Zhou. "An Optimized Filtering Method of Massive Interferometric SAR Data for Urban Areas by Online Tensor Decomposition." Remote Sensing 12, no. 16 (2020): 2582. http://dx.doi.org/10.3390/rs12162582.

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The filtering of multi-pass synthetic aperture radar interferometry (InSAR) stack data is a necessary preprocessing step utilized to improve the accuracy of the object-based three-dimensional information inversion in urban area. InSAR stack data is composed of multi-temporal homogeneous data, which is regarded as a third-order tensor. The InSAR tensor can be filtered by data fusion, i.e., tensor decomposition, and these filters keep balance in the noise elimination and the fringe details preservation, especially with abrupt fringe change, e.g., the edge of urban structures. However, tensor dec

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RECIOUI, Abdelmadjid, Fatma Zohra HAMRIOUI, Kenza BENAMROUCHE, and Oussama MERABET. "Analog Filter Design: A Succinct Investigation." Algerian Journal of Signals and Systems 3, no. 4 (2018): 174–89. http://dx.doi.org/10.51485/ajss.v3i4.74.

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In many systems, it is essential to extract or enhance the desired information and remove the unwanted components. This is the simplest aim of signal processing where the filter turns out to be the key element. The objective of this paper is to investigate the characteristics of analog passive and active filters. Particularly, the interest goes to the conventional Butterworth, Chebychev and Bessel filter. A comparative study of these filters is done. The different circuits are simulated using the MULTISIM software to visualize the magnitude and phase responses. The procedure of designing the d

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Shamir, Joseph, H. John Caulfield, and Joseph Rosen. "Pattern recognition using reduced information content filters." Applied Optics 26, no. 12 (1987): 2311. http://dx.doi.org/10.1364/ao.26.002311.

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Davis, Jeffrey A., Don M. Cottrell, Juan Campos, María J. Yzuel, and Ignacio Moreno. "Encoding amplitude information onto phase-only filters." Applied Optics 38, no. 23 (1999): 5004. http://dx.doi.org/10.1364/ao.38.005004.

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Divakaran, A., and W. A. Pearlman. "Information-theoretic performance of quadrature mirror filters." IEEE Transactions on Information Theory 41, no. 6 (1995): 2094–100. http://dx.doi.org/10.1109/18.476343.

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Wang, Junnan, Zhenhong Jia, Huicheng Lai, Jie Yang, and Nikola K. Kasabov. "A Multi-Information Fusion Correlation Filters Tracker." IEEE Access 8 (2020): 162022–40. http://dx.doi.org/10.1109/access.2020.3021235.

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Krivotsyuk, V. I., A. A. Matveev, and V. N. Popov. "Adaptive digital filters in information measurement systems." Measurement Techniques 30, no. 1 (1987): 5–8. http://dx.doi.org/10.1007/bf00865713.

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Li, Juan, Hui Juan Hao, and Mao Li Wang. "The Particle Filter Algorithm Research for Target Tracking Based on Information Fusion." Advanced Materials Research 628 (December 2012): 440–44. http://dx.doi.org/10.4028/www.scientific.net/amr.628.440.

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This paper researches the particle filters Algorithms for target tracking based on Information Fusion, it combines the traditional Kalman filter with the particle filter. For multi-sensor and multi-target tracking system with complex application background, which is nonlinear and non-gaussian system, the paper proposes an effective particle filtering algorithm based on information fusion for distributed sensor, this algorithm contributes to the solution of particle degradation problems and the phenomenon of particle lack, and achieve high precision for target tracking.

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Lee, Deok Jin, Kil To Chong, and Dong Pyo Hong. "Target Tracking in Sensor Networks Using Additive Divided Difference Information Filtering Method." Applied Mechanics and Materials 433-435 (October 2013): 503–9. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.503.

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This paper represents a new multiple sensor information fusion algorithm in distributed sensor networks using an additive divided difference information filter for nonlinear estimation and tracking applications. The newly proposed multi-sensor fusion algorithm is derived by utilizing an efficient new additive divided difference filtering algorithm with embedding statistical error propagation method into an information filtering architecture. The new additive divided difference information filter achieves not only the accurate nonlinear estimation solution, but also the flexibility of multiple

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