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Статті в журналах з теми "SQUARE FILTER"

Автор: Grafiati

Опубліковано: 11 вересня 2023

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1

Nerger, Lars, Tijana Janjić, Jens Schröter, and Wolfgang Hiller. "A Unification of Ensemble Square Root Kalman Filters." Monthly Weather Review 140, no. 7 (2012): 2335–45. http://dx.doi.org/10.1175/mwr-d-11-00102.1.

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Abstract In recent years, several ensemble-based Kalman filter algorithms have been developed that have been classified as ensemble square root Kalman filters. Parallel to this development, the singular “evolutive” interpolated Kalman (SEIK) filter has been introduced and applied in several studies. Some publications note that the SEIK filter is an ensemble Kalman filter or even an ensemble square root Kalman filter. This study examines the relation of the SEIK filter to ensemble square root filters in detail. It shows that the SEIK filter is indeed an ensemble square root Kalman filter. Furth

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2

Matei, Radu. "Design of Adjustable Square-Shaped 2D IIR Filters." ISRN Signal Processing 2013 (September 11, 2013): 1–10. http://dx.doi.org/10.1155/2013/796830.

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This paper proposes an analytical design method for two-dimensional square-shaped IIR filters. The designed 2D filters are adjustable since their bandwidth and orientation are specified by parameters appearing explicitly in the filter matrices. The design relies on a zero-phase low-pass 1D prototype filter. To this filter a frequency transformation is next applied, which yields a 2D filter with the desired square shape in the frequency plane. The proposed method combines the analytical approach with numerical approximations. Since the prototype transfer function is factorized into partial func

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3

Tengger, Billy Arifa, and Ropiudin Ropiudin. "Pemanfaatan Metode Kalman Filter Diskrit untuk Menduga Suhu Udara." Square : Journal of Mathematics and Mathematics Education 1, no. 2 (2019): 127. http://dx.doi.org/10.21580/square.2019.1.2.4202.

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Suhu adalah variabel fisik yang perlu diketahui secara tepat untuk penggunaan tertentu. Suhu adalah derajat panas dan dingin suatu benda. Derajat panas dan dingin ini dipengaruhi oleh enthalpi (energi) yang dimilki suatu zat. Pendugaan suhu udara dapat memberikan manfaat untuk aktivitas pada beberapa bidang, seperti: pertanian, peternakan, perikanan, kesehatan, dan kegiatan-kegiatan lainnya. Metode Kalman Filter Diskrit merupakan salah satu metode matematika yang dapat digunakan untuk menduga data di masa yang akan datang. Kalman Filter Diskrit memiliki keunggulan mampu menduga suatu kondisi b

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4

Huang, Yulong, Yonggang Zhang, Ning Li, and Lin Zhao. "Improved square-root cubature information filter." Transactions of the Institute of Measurement and Control 39, no. 4 (2016): 579–88. http://dx.doi.org/10.1177/0142331215608428.

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In this paper, a theoretical comparison between existing the sigma-point information filter (SPIF) framework and the unscented information filter (UIF) framework is presented. It is shown that the SPIF framework is identical to the sigma-point Kalman filter (SPKF). However, the UIF framework is not identical to the classical SPKF due to the neglect of one-step prediction errors of measurements in the calculation of state estimation error covariance matrix. Thus SPIF framework is more reasonable as compared with UIF framework. According to the theoretical comparison, an improved cubature inform

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5

Yang, X., and T. DelSole. "The diffuse ensemble filter." Nonlinear Processes in Geophysics 16, no. 4 (2009): 475–86. http://dx.doi.org/10.5194/npg-16-475-2009.

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Abstract. A new class of ensemble filters, called the Diffuse Ensemble Filter (DEnF), is proposed in this paper. The DEnF assumes that the forecast errors orthogonal to the first guess ensemble are uncorrelated with the latter ensemble and have infinite variance. The assumption of infinite variance corresponds to the limit of "complete lack of knowledge" and differs dramatically from the implicit assumption made in most other ensemble filters, which is that the forecast errors orthogonal to the first guess ensemble have vanishing errors. The DEnF is independent of the detailed covariances assu

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6

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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7

Altaf, M. U., T. Butler, T. Mayo, et al. "A Comparison of Ensemble Kalman Filters for Storm Surge Assimilation." Monthly Weather Review 142, no. 8 (2014): 2899–914. http://dx.doi.org/10.1175/mwr-d-13-00266.1.

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Abstract This study evaluates and compares the performances of several variants of the popular ensemble Kalman filter for the assimilation of storm surge data with the advanced circulation (ADCIRC) model. Using meteorological data from Hurricane Ike to force the ADCIRC model on a domain including the Gulf of Mexico coastline, the authors implement and compare the standard stochastic ensemble Kalman filter (EnKF) and three deterministic square root EnKFs: the singular evolutive interpolated Kalman (SEIK) filter, the ensemble transform Kalman filter (ETKF), and the ensemble adjustment Kalman fil

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8

Mu, Jing, Yuan Li Cai, and Jun Min Zhang. "Square Root Cubature Particle Filter." Advanced Materials Research 219-220 (March 2011): 727–31. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.727.

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The square root cubature particle filter (SRCPF) uses the square root cubature Kalman filter (SRCKF) for generating the proposal distribution. The SRCPF algorithm is easy to be implemented and has numerical stability. Moreover, the SRCKF based proposal distribution approximates the optimal importance distribution by incorporating the current measurement. Simulation results demonstrate that the SRCPF algorithm has the better performance for state estimation than the generic particle filter (GPF), extended particle filter (EPF) and unscented particle filter (UPF), and its calculation cost decrea

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9

Tödter, Julian, and Bodo Ahrens. "A Second-Order Exact Ensemble Square Root Filter for Nonlinear Data Assimilation." Monthly Weather Review 143, no. 4 (2015): 1347–67. http://dx.doi.org/10.1175/mwr-d-14-00108.1.

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Abstract The ensemble Kalman filter (EnKF) and its deterministic variants, mostly square root filters such as the ensemble transform Kalman filter (ETKF), represent a popular alternative to variational data assimilation schemes and are applied in a wide range of operational and research activities. Their forecast step employs an ensemble integration that fully respects the nonlinear nature of the analyzed system. In the analysis step, they implicitly assume the prior state and observation errors to be Gaussian. Consequently, in nonlinear systems, the analysis mean and covariance are biased, an

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10

Bastioli, Simone, Luca Marcaccioli, and Roberto Sorrentino. "Compact dual-mode rectangular waveguide filters using square ridge resonators." International Journal of Microwave and Wireless Technologies 1, no. 4 (2009): 241–47. http://dx.doi.org/10.1017/s1759078709990286.

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A new class of compact rectangular waveguide filters is proposed in this paper. The key element is a square ridge resonator realized within a rectangular waveguide supporting the fundamental TE10 mode. The square ridge can support two modes resonating along orthogonal directions in the gap between the ridge and the opposite waveguide wall. This structure enables dual-mode degeneracy without the need of oversized cavities, thus allowing for considerable size reduction with respect to the conventional dual-mode implementations. Different filter structures employing one or more ridges within shor

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11

Chandra, Kumar Pakki Bharani, Da-Wei Gu, and Ian Postlethwaite. "Square Root Cubature Information Filter." IEEE Sensors Journal 13, no. 2 (2013): 750–58. http://dx.doi.org/10.1109/jsen.2012.2226441.

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12

Pratiwi, Nor Kumalasari Caecar, Rita Magdalena, Yunendah Nur Fuadah, Sofia Saidah, Syamsul Rizal, and Muhamad Rokhmat Isnaini. "Denoising Sinyal EEG dengan Algoritma Recursive Least Square dan Least Mean Square." TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol 5, no. 2 (2019): 122–29. http://dx.doi.org/10.15575/telka.v5n2.122-129.

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EEG mengukur fluktuasi tegangan yang dihasilkan dari arus ionik yang beredar sepanjang neuron otak. Dalam pengaturan eksperimental, sinyal EEG sering terkontaminasi dengan berbagai noise akibat gerakan otot dan jantung. Noise dengan magnitudo yang lebih tinggi dari sinyal aslinya akan merusak sinyal EEG dan bisa berakibat fatal dalam analisis diagnosa. Sehingga diperlukan sebuah sistem denoising yang mampu secara maksimal mengurangi noise, tanpa menghilangkan komponen informasi penting dari sinyal EEG. Salah satu algoritma yang dapat digunakan dalam mereduksi noise pada sinyal biomedis adalah

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13

Shao, Teng. "Distributed filtering in sensor networks based on linear minimum mean square error criterion with limited sensing range." International Journal of Distributed Sensor Networks 18, no. 7 (2022): 155013292211108. http://dx.doi.org/10.1177/15501329221110810.

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One of the fundamental problems in sensor networks is to estimate and track the target states of interest that evolve in the sensing field. Distributed filtering is an effective tool to deal with state estimation in which each sensor only communicates information with its neighbors in sensor networks without the requirement of a fusion center. However, in the majority of the existing distributed filters, it is assumed that typically all sensors possess unlimited field of view to observe the target states. This is quite restrictive since practical sensors have limited sensing range. In this art

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14

El Hafidi, Mustapha, Latifa Mouhir, Mohamed Laaouan, Amal Kabbour, and Laila Saafadi. "Domestic wastewater treatment by vertical filter planted with Papyrus Cyperus: the plant adaptation in the new environment." E3S Web of Conferences 150 (2020): 02014. http://dx.doi.org/10.1051/e3sconf/202015002014.

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The wastewater from rural areas or small agglomerations usually discharged in an unsuitable manner requires an appropriate treatment. The constructed wetland has revealed a great potential due to the good performance, reasonable investment and easier management. The aim of this article is to present the results of the adaptation period (45 days) of a substitute plant, Papyrus Cyperus, in the new environment. Investigations were carried out on a concrete vertical filter of 12 m2 filled with gravel available on the local market. Monitoring was provided mainly through two squares of 1 m2 each. Th

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15

Rahman, Aviv Yuniar, Mamba’us Sa’adah, and Istiadi. "Noise Reduction in RTL-SDR using Least Mean Square and Recursive Least Square." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 4, no. 2 (2020): 286–95. http://dx.doi.org/10.29207/resti.v4i2.1667.

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Noise reduction is an important process in a communication system, one of which is radio communication. In the process of broadcasting radio Frequency Modulation (FM) often encountered noise so that listeners find it difficult to understand the information provided. In the past, noise reduction used traditional filters that were only able to filter certain frequencies. However, for future technologies an adaptive filter is needed that can dynamically reduce noise effectively. Register Level-Software Defined Radio (RTL-SDR) can capture signals with a very wide frequency range but has a less cle

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16

Wu, Yunfeng, and Rangaraj M. Rangayyan. "An Unbiased Linear Adaptive Filter with Normalized Coefficients for the Removal of Noise in Electrocardiographic Signals." International Journal of Cognitive Informatics and Natural Intelligence 3, no. 4 (2009): 73–90. http://dx.doi.org/10.4018/jcini.2009062305.

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The authors propose an unbiased linear adaptive filter (ULAF) to eliminate high-frequency random noise in electrocardiographic (ECG) signals. The ULAF does not contain a bias in its summation unit, and the filter coefficients are normalized. During the adaptation process, the normalized coefficients are updated with the steepest-descent algorithm in order to achieve efficient filtering of noisy ECG signals. The authors tested the ULAF with ECG signals recorded from 16 subjects, and compared the performance of the ULAF with that of the least-mean-square (LMS) and recursive-least-squares (RLS) a

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17

Ali, Randall, Hannes Rosseel, and Toon van Waterschoot. "Design and implementation of a least-mean-square adaptive notch filter." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A215. http://dx.doi.org/10.1121/10.0018697.

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The task of removing sinusoidal components from observed signals can be accomplished by using a notch filter with a specific attenuation at a particular frequency. In some applications, however, such as acoustic feedback control, the frequency at which attenuation is required is unknown and possibly time-varying, and hence an adaptive notch filter is a more appropriate solution. Transitioning from a fixed notch filter to an adaptive one is by no means trivial and involves the understanding of a range of digital signal processing (DSP) topics from pole-zero placement techniques for designing in

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18

Li, Jing, and Jiaxu Zhang. "Vehicle Sideslip Angle Estimation Based on Hybrid Kalman Filter." Mathematical Problems in Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/3269142.

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Vehicle sideslip angle is essential for active safety control systems. This paper presents a new hybrid Kalman filter to estimate vehicle sideslip angle based on the 3-DoF nonlinear vehicle dynamic model combined with Magic Formula tire model. The hybrid Kalman filter is realized by combining square-root cubature Kalman filter (SCKF), which has quick convergence and numerical stability, with square-root cubature based receding horizon Kalman FIR filter (SCRHKF), which has robustness against model uncertainty and temporary noise. Moreover, SCKF and SCRHKF work in parallel, and the estimation ou

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19

Xia, Yuanqing, Zirui Xing, and Liansheng Wang. "Comparison of Several Nonlinear Filters for Mars Entry Navigation Using Radiometric Measurements." Journal of Navigation 70, no. 5 (2017): 983–1001. http://dx.doi.org/10.1017/s0373463317000170.

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This paper studies the application of several nonlinear filters for the problem of Mars entry navigation by using radiometric measurements from Mars orbiters and Mars Surface Beacons (MSBs). A suitable dynamic model of Mars entry is developed. The movement of MSBs due to Mars rotation is also considered in the measurement model. The performance of an Extended Kalman Filter (EKF), First-order Divided Difference Filter (DDF1), Unscented Kalman Filter (UKF), and Particle Filter (PF) is compared in terms of estimation capability and computation costs. The theoretical Cramer-Rao Lower Bound (CRLB)

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20

Alqaisy, Mushtaq, Chandan K. Chakrabraty, Jawad K. Ali, Adam Reda Alhawari, and Tale Saeidi. "Switchable square ring bandpass to bandstop filter for ultra-wideband applications." International Journal of Microwave and Wireless Technologies 9, no. 1 (2015): 51–60. http://dx.doi.org/10.1017/s1759078715001373.

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In this manuscript, serial-shunt of square ring resonators with step-impedance open circuited stub resonators to produce a new on-off switchable bandpass to bandstop response in the same ultra-wideband microstrip filter structure is proposed. The closed ring of series-shunt square ring resonators with a combine stubs are introduced to excite the bandpass response while bandstop characteristic excited when gaps are embedded in the corners of the square ring resonators. The main advantage of this microstrip filter is its capability to switch from bandpass-to-bandstop operation using open-short g

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21

Kim, Pyung Soo. "Selective Finite Memory Structure Filtering Using the Chi-Square Test Statistic for Temporarily Uncertain Systems." Applied Sciences 9, no. 20 (2019): 4257. http://dx.doi.org/10.3390/app9204257.

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In this paper, a finite memory structure (FMS) filtering with two kinds of measurement windows is proposed using the chi-square test statistic to cover nominal systems as well as temporarily uncertain systems. First, the simple matrix form for the FMS filter is developed from the conditional density of the current state given finite past measurements. Then, one of the two FMS filters, the primary FMS filter or the secondary FMS filter, with different measurement windows is operated selectively according to the presence or absence of uncertainty, to obtain a valid estimate. The primary FMS filt

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22

Geeraert, Jeroen L., and Jay W. McMahon. "Square-Root Unscented Schmidt–Kalman Filter." Journal of Guidance, Control, and Dynamics 41, no. 1 (2018): 280–87. http://dx.doi.org/10.2514/1.g002921.

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23

Oerder, M., and H. Meyr. "Digital filter and square timing recovery." IEEE Transactions on Communications 36, no. 5 (1988): 605–12. http://dx.doi.org/10.1109/26.1476.

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24

Bhaumik, Shovan. "Square-Root Cubature-Quadrature Kalman Filter." Asian Journal of Control 16, no. 2 (2013): 617–22. http://dx.doi.org/10.1002/asjc.704.

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25

Pang, Ying Zhou, Xing Yong Zhang, and Jian Tao Tian. "The SOC Estimation for Power Battery Using KF Method which Parameters are Updated by Least Square Method." Applied Mechanics and Materials 694 (November 2014): 67–72. http://dx.doi.org/10.4028/www.scientific.net/amm.694.67.

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In this article we first introduced some methods for estimating battery’s SOC and their advantages and shortcomings respectively. With experimental data, we proved that parameters of battery model are time variant. So fixed parameter Kalman Filter (FPKF) will not be suitable, then we came up with a new algorithm named adaptive Kalman Filter (APKF),which associated two algorithms—Kalman Filter and Least Square method. Kalman Filer estimates SOC of battery, while Least Square method updates parameters used in Kalman Filter. Then we used battery’s discharging data to test whether this new algorit

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26

Simandl, Miroslav, and Jindrich Duník. "SIGMA POINT GAUSSIAN SUM FILTER DESIGN USING SQUARE ROOT UNSCENTED FILTERS." IFAC Proceedings Volumes 38, no. 1 (2005): 1000–1005. http://dx.doi.org/10.3182/20050703-6-cz-1902.00168.

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27

Qian, Guobing, Dan Luo, and Shiyuan Wang. "A Robust Adaptive Filter for a Complex Hammerstein System." Entropy 21, no. 2 (2019): 162. http://dx.doi.org/10.3390/e21020162.

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The Hammerstein adaptive filter using maximum correntropy criterion (MCC) has been shown to be more robust to outliers than the ones using the traditional mean square error (MSE) criterion. As there is no report on the robust Hammerstein adaptive filters in the complex domain, in this paper, we develop the robust Hammerstein adaptive filter under MCC to the complex domain, and propose the Hammerstein maximum complex correntropy criterion (HMCCC) algorithm. Thus, the new Hammerstein adaptive filter can be used to directly handle the complex-valued data. Additionally, we analyze the stability an

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28

Lian, Feng, Chen Li, Chongzhao Han, and Hui Chen. "Convergence Analysis for the SMC-MeMBer and SMC-CBMeMBer Filters." Journal of Applied Mathematics 2012 (2012): 1–25. http://dx.doi.org/10.1155/2012/584140.

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The convergence for the sequential Monte Carlo (SMC) implementations of the multitarget multi-Bernoulli (MeMBer) filter and cardinality-balanced MeMBer (CBMeMBer) filters is studied here. This paper proves that the SMC-MeMBer and SMC-CBMeMBer filters, respectively, converge to the true MeMBer and CBMeMBer filters in the mean-square sense and the corresponding bounds for the mean-square errors are given. The significance of this paper is in theory to present the convergence results of the SMC-MeMBer and SMC-CBMeMBer filters and the conditions under which the two filters satisfy mean-square conv

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29

S. Khanande, Sachin, and S. J. Honade. "Design and Implementation of Recursive Least Square Adaptive Filter Using Block DCD approach." International Journal of Reconfigurable and Embedded Systems (IJRES) 4, no. 3 (2015): 209. http://dx.doi.org/10.11591/ijres.v4.i3.pp209-212.

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<p>Due to the explosive growth of multimedia application and tremendous demands in Very Large Scale Integrated (VLSI), there is a need of high speed and low power digital filters for digital signal processing applications. In Digital Signal Processing (DSP) systems, Finite Impulse Response (FIR) filters are one of the most common components which is used, by convolving the input data samples with the desired unit sample response of the filter. The proposed work deals with the design and implementation of RLS adaptive filter using block DCD approach. The evaluation of speed, area and powe

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30

ÖLMEZ, SİNEM, and UĞUR ÇAM. "REALIZATION OF SQUARE ROOT DOMAIN TOW–THOMAS BIQUADRATIC FILTER." Journal of Circuits, Systems and Computers 19, no. 05 (2010): 1015–24. http://dx.doi.org/10.1142/s0218126610006578.

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In this paper, a Tow–Thomas biquadratic filter designed in square root domain is proposed. The presented filter is constructed with a lossy integrator, a lossless integrator, and a summer block. To the best knowledge of the authors, the filter is the first square root domain Tow–Thomas filter in the literature. The state space synthesis method is used to design the biquadratic filter. The filter operated at 2.5 V supply voltage is simulated by using SPICE simulation program with 0.25 μm TSMC CMOS model parameters. Simulation results are in good agreement with theoretical results that the cut-o

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31

M., Dr Duraipandian. "Adaptive Algorithms for Signature Wavelet recognition in the Musical Sounds." Journal of Soft Computing Paradigm 2, no. 2 (2020): 120–29. http://dx.doi.org/10.36548/jscp.2020.2.005.

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The scaling and as well as the wavelet-functions of the wavelet is detected engaging the wavelet-filters that are empowered with the filter-bank principle that is utilized in recognizing the rough calculation and the feature co-efficient of the wavelet-filter. The coefficients recognized by the filter-bank for the musical sounds produced by the musical-instruments enables one to have a signature-wavelet of the sound signal. The signature-wavelet renovates the actual musical signal with insignificant disturbance. In order to recognize the factors (coefficients) the paper employs the least mean

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32

Zemskov, Y., E. Koptseva, A. Pankratova, S. Borodulina, and S. Kalinov. "Universal prediction algorithm in maneuvering target tracking." Journal of Physics: Conference Series 2176, no. 1 (2022): 012074. http://dx.doi.org/10.1088/1742-6596/2176/1/012074.

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Abstract The paper considers the methods to increase the accuracy of trajectory processing of the results of radar measurements in automated air traffic management systems (AATMS). The recursive filters traditionally used in the secondary processing path of radar information of modern AATMS systems are briefly considered: alpha-beta filter, linear and extended Kalman filters, multi-model filter. Along with multi-model Kalman filters it is proposed to use a universal filter based on the universal prediction theorem, the accuracy of which is asymptotically no worse than any other filter in the c

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33

KIRCAY, ALI, M. SERHAT KESERLIOGLU, and UGUR CAM. "A NEW CURRENT-MODE SQUARE-ROOT-DOMAIN GENERAL NOTCH FILTER." Journal of Circuits, Systems and Computers 22, no. 01 (2013): 1250072. http://dx.doi.org/10.1142/s0218126612500727.

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In this paper, a new current-mode second-order square-root-domain general notch filter is proposed. The design is based on the state-space synthesis method with two subcircuit; square-root and squarer/divider circuits. In the circuit, the input and the output values, and dominant variables are all currents. Only MOS transistors and grounded capacitors are required to realize the filter circuit. Three cases of the second-order notch filter were obtained. The regular notch was obtained when ωn = ωp, the lowpass notch was obtained when ωn > ωp, and the highpass notch was obtained when ωn <

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34

M. Africa, Aaron Don, John Arvin Mercado, and Joshua Kenichi Sim. "Development of an adaptive finite impulse response filter optimization algorithm using rough set theory." Indonesian Journal of Electrical Engineering and Computer Science 31, no. 1 (2023): 238. http://dx.doi.org/10.11591/ijeecs.v31.i1.pp238-247.

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Анотація:

Signal processing is crucial that as one sends information, there is a corresponding process to encode, decode, and clean the signal of unwanted noise and disruptions via use of filters. Due to the environment and how unpredictable it can be and how noise can come from almost anywhere, the typical filter to be used are adaptive filters. Adaptive filters are non-linear filters and have been used regularly regarding adaptive signal processing, this means that the filter changes accordingly and adapts to the environmental noise surrounding it. The world today has numerous applications for adaptiv

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35

Pichardo, Eduardo, Ángel Vázquez, Esteban R. Anides, et al. "A Dual Adaptive Filter Spike-Based Hardware Architecture for Implementation of a New Active Noise Control Structure." Electronics 10, no. 16 (2021): 1945. http://dx.doi.org/10.3390/electronics10161945.

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Presently, the technology development trend of active noise control (ANC) systems is focused on implementing advanced adaptive filters in resource-constrained electronic appliances. Recently, several authors have proved that the use of two adaptive filter algorithms significantly improves the overall adaptive filter performance. However, the computational cost of these approaches is significantly increased since they use two filters simultaneously. Consequently, these filters cannot be implemented in these devices. To solve this problem, we propose a new ANC structure with switching selection

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Ma, Run Xia, Xu Ming Zhang, Ming Yue Ding, and Qi Liu. "Comparative Study on Filter Methods of Medical Ultrasound Images." Advanced Materials Research 341-342 (September 2011): 467–71. http://dx.doi.org/10.4028/www.scientific.net/amr.341-342.467.

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This paper presents a comparative study on six despeckling methods such as modified hybrid median filter, gabor filter, speckle reducing anisotropic diffusion, homomorphic filter, non-local mean filter and squeeze box filter. We select eight objective evaluation parameters, such as signal-to-ratio, contrast signal–to–noise ratio, figure of merit, least absolute error, peak signal-to-noise ratio, edge protection factor, quantitative parameters of despeckling, signal-to-minimum mean square error ratio, to quantify the performance of these filters. The comparative study will provide a good guidan

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37

Krstic, Ivan. "Design of allpass-based IIR multi-notch filters with identical pole radiuses." Serbian Journal of Electrical Engineering 20, no. 1 (2023): 1–11. http://dx.doi.org/10.2298/sjee2301001k.

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A design method for the allpass-based infinite impulse response multi-notch filters with identical pole radiuses is derived in the paper. According to the standard procedure when design of the allpass-based filters is considered, the multi-notch filters? magnitude response specifications are first formulated as the phase response specifications of the corresponding allpass filter. Then, for the specified identical pole radiuses, it is shown that unknown allpass filter coefficients can be obtained determined from the square system of linear equations. On the other hand, the minimum value of the

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Prasetya, Budi, Yuyun Siti Rohmah, Dwi Andi Nurmantris, Sarah Mulyawati, and Reza Dipayana. "Band pass filter comparison of Hairpin line and square open-loop resonator method for digital TV community." Bulletin of Electrical Engineering and Informatics 10, no. 1 (2021): 101–10. http://dx.doi.org/10.11591/eei.v10i1.2003.

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The selection of the right filter design method is a very important first step for a radio frequency engineer. This paper presents the comparison of two methods of band pass filter design using hairpin-line and square open-loop resonator. Both methods were applied to obtain filter designs that can work for broadcasting system in digital television community. Band pass filter was simulated using design software and fabricated using epoxy FR-4 substrate. The results of simulation and measurement shown return loss value at 27.3 dB for hairpin line band pass filter and 25.901 for square open-loop

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Hu, Jian Wang, Peng Zhou, Hao Xie, Le Luo, and Hou Bo He. "Maneuvering Target Tracking Algorithm Based on IMMSCKF." Applied Mechanics and Materials 419 (October 2013): 145–50. http://dx.doi.org/10.4028/www.scientific.net/amm.419.145.

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Aiming at the tracking filters are liable to diverge and the tracking precision is low when tracking nonlinear maneuvering target, an Interacting Multiple Model Square-root Cubature Kalman Filter (IMMSCKF) is developed by introducing Square-root Cubature Kalman Filter (SCKF) into Interacting Multiple Model (IMM). This method uses SCKF for filtering each model, the weighted sum of the outputs of all parallel SCKF is taken as the output of IMMSCKF. Simulation shows that IMMSCKF has higher precision, quicker model switching speed, and smaller calculation cost compared with IMMUKF.

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Zhao, Snunyi, Yuriy Shmaliy, and Sanowar Khan. "Embedded Unbiasedness: Effect on Optimal FIR Filtering Estimates." EQUATIONS 1 (August 16, 2021): 55–61. http://dx.doi.org/10.37394/232021.2021.1.8.

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In this paper, we give an analysis of the embedded unbiasedness (EU) on optimal finite impulse response (OFIR) estimates. By minimizing the mean square error (MSE) constrained by the unbiasedness condition, a new OFIR-EU filter is derived. We show that the OFIR-EU filter does not require the initial conditions, and occupies an intermediate place between the UFIR and OFIR filters. It is also shown that the MSEs of the OFIR-EU and OFIR filters diminish with the estimation horizon. A numerical example has demonstrated that the OFIR-UE filter has better robustness against temporary model uncertain

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41

Mu, Jing, and Chang Yuan Wang. "Iterated Cubature Kalman Filter for State Estimation of Maneuver Reentry Vehicle." Advanced Materials Research 466-467 (February 2012): 1329–33. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.1329.

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We present the new filters named iterated cubature Kalman filter (ICKF). The ICKF is implemented easily and involves the iterate process for fully exploiting the latest measurement in the measurement update so as to achieve the high accuracy of state estimation We apply the ICKF to state estimation for maneuver reentry vehicle. Simulation results indicate ICKF outperforms over the unscented Kalman filter and square root cubature Kalman filter in state estimation accuracy.

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WANG, Cheng-xi, Yi-an LIU, and Qiang ZHANG. "Improved least mean square adaptive filter algorithm." Journal of Computer Applications 32, no. 7 (2013): 2078–81. http://dx.doi.org/10.3724/sp.j.1087.2012.02078.

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43

Buhagiar, David, and Mirna Džamonja. "Square compactness and the filter extension property." Fundamenta Mathematicae 252, no. 3 (2021): 325–42. http://dx.doi.org/10.4064/fm787-4-2020.

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44

De La Cruz-Blas, C. A., A. J. López-Martín, and A. Carlosena. "1.5 V tunable Square-Root Domain filter." Electronics Letters 40, no. 4 (2004): 213. http://dx.doi.org/10.1049/el:20040171.

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Zhang, Lei, Sheng Li, Enze Zhang, Qingwei Chen, and Jian Guo. "Improved square root adaptive cubature Kalman filter." IET Signal Processing 13, no. 7 (2019): 641–49. http://dx.doi.org/10.1049/iet-spr.2018.5029.

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Pavcnik, Dusan, Barry T. Uchida, Frederick S. Keller, Christopher L. Corless, and Josef Rösch. "Retrievable IVC square stent filter: Experimental study." CardioVascular and Interventional Radiology 22, no. 3 (1999): 239–45. http://dx.doi.org/10.1007/s002709900374.

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47

Lei, Jing, Peter Bickel, and Chris Snyder. "Comparison of Ensemble Kalman Filters under Non-Gaussianity." Monthly Weather Review 138, no. 4 (2010): 1293–306. http://dx.doi.org/10.1175/2009mwr3133.1.

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Abstract Recently various versions of ensemble Kalman filters (EnKFs) have been proposed and studied. This work concerns, in a mathematically rigorous manner, the relative performance of two major versions of EnKF when the forecast ensemble is non-Gaussian. The approach is based on the stability of the filtering methods against small model violations, using the expected squared L2 distance as a measure of the deviation between the updated distributions. Analytical and experimental results suggest that both stochastic and deterministic EnKFs are sensitive to the violation of the Gaussian assump

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48

Chen, Jing, Chang Yin Liu, and Xue Ping Li. "The Design and FPGA Implementation of a Polyphase SRRC FIR Filter in DTMB." Advanced Materials Research 791-793 (September 2013): 2122–26. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.2122.

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Polyphase FIR filters are applied in many practical Digital Signal Processing applications where the sampling rate needs to be changed. This paper focuses on the implementation of polyphase square root raised cosine (SRRC) FIR filter based on Field Programmable Gate Array (FPGA). The filter employs methods like filter's multiphase structure, symmetrical coefficients, I/Q channel multiplexing, pipeline addition and so on to design the SRRC filter. Compared with the traditional method, the designed FIR filter exhibits the advantages of high response speed and low hardware resource s consumption.

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Duarte Júnior, José Garibaldi, Valdemir Praxedes da Silva Neto, and Adaildo Gomes d’Assunção. "A new tunable bandstop filter square-ring resonator using varactor diodes." PLOS ONE 18, no. 9 (2023): e0290979. http://dx.doi.org/10.1371/journal.pone.0290979.

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This work presents the development of a bandstop filter with a tunable response. Varactor diodes are used as control elements. Studies and investigations demonstrate the influence of the variable capacitance on the input admittance and on the S-parameters frequency responses of the proposed square-ring resonator geometry. The design of the square-ring resonator is based on mathematical modeling of ideal transmission lines, considering parameters of characteristic admittance and electrical length for odd and even excitation modes. Based on S-parameters in ports, an equivalent circuit model of t

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Kircay, Ali, M. Serhat Keserlioglu, and F. Zuhal Adalar. "Electronically Tunable Current-Mode Third-Order Square-Root-Domain Filter Design." Journal of Circuits, Systems and Computers 27, no. 09 (2018): 1850136. http://dx.doi.org/10.1142/s0218126618501360.

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In this study, electronically-tunable, current-mode, square-root-domain, third-order low-pass filter is proposed. The study is carried out with three circuit designs. First circuit is third-order low-pass Butterworth filter, second circuit is third-order low-pass Chebyshev filter and the last circuit is third-order low-pass elliptic filter. All the input and output values of the filter circuit are current. Only grounded capacitors and MOSFETs are required in order to realize the filter circuit. Additionally, natural frequency [Formula: see text] of the current-mode filter can be adjusted elect

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