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Journal articles on the topic 'II. Filtering'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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1

Ersoy, Okan K. "Nonlinear matched filtering II." Optical Engineering 29, no. 9 (1990): 1002. http://dx.doi.org/10.1117/12.55697.

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Banik, N. C., I. Lerche, J. R. Resnick, and R. T. Shuey. "Stratigraphic filtering, Part II: Model spectra." GEOPHYSICS 50, no. 12 (1985): 2775–83. http://dx.doi.org/10.1190/1.1441898.

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We describe filtering by short‐period multiples in one dimension using a combination of the O’Doherty‐Anstey (1971) formula with a stochastic model in which the autocorrelation of acoustic impedance decreases exponentially with lag [Formula: see text] while the spectrum of reflection coefficients rises with frequency up to a corner, then is approximately constant, [Formula: see text] An impedance log with these statistics is a generalization of the classic random telegraph wave. The parameter [Formula: see text], the mean‐square fractional fluctuation of impedance, is typically less than 1 per

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Li, Shaozhong, and Jacob B. Khurgin. "Carrier filtering in type II superlattices." Solid State Communications 85, no. 6 (1993): 535–38. http://dx.doi.org/10.1016/0038-1098(93)90014-e.

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Belavkin, V. P. "Measurement and Filtering of Quantum Diffusion II." Theory of Probability & Its Applications 39, no. 3 (1995): 363–78. http://dx.doi.org/10.1137/1139026.

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Politsch, Collin A., Jessi Cisewski-Kehe, Rupert A. C. Croft, and Larry Wasserman. "Trend filtering – II. Denoising astronomical signals with varying degrees of smoothness." Monthly Notices of the Royal Astronomical Society 492, no. 3 (2020): 4019–32. http://dx.doi.org/10.1093/mnras/staa110.

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ABSTRACT Trend filtering – first introduced into the astronomical literature in Paper I of this series – is a state-of-the-art statistical tool for denoising 1D signals that possess varying degrees of smoothness. In this work, we demonstrate the broad utility of trend filtering to observational astronomy by discussing how it can contribute to a variety of spectroscopic and time-domain studies. The observations we discuss are (1) the Lyman-α (Lyα) forest of quasar spectra; (2) more general spectroscopy of quasars, galaxies, and stars; (3) stellar light curves with planetary transits; (4) eclips

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Hansen, C. "Digital image processing for clinicians, part II: Filtering." Journal of Nuclear Cardiology 9, no. 4 (2002): 429–37. http://dx.doi.org/10.1067/mnc.2002.122898.

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Nelson, Daniel B., and Dean P. Foster. "Filtering and forecasting with misspecified ARCH models II." Journal of Econometrics 67, no. 2 (1995): 303–35. http://dx.doi.org/10.1016/0304-4076(94)01635-d.

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Bujjibabu P. "Optimizing Integrated Circuit Applications with Digital IIR Filtering Architectures." Communications on Applied Nonlinear Analysis 31, no. 8s (2024): 01–11. http://dx.doi.org/10.52783/cana.v31.1442.

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In this research, a high-performance IIR filter for low-power DSP applications is implemented and realized using a MATLAB system generator. There are numerous ways to implement IIR filters, including the Direct Form-I(DF-I), Direct Form-II(DF-II), Cascade, and Parallel Forms. All of these structures offer a selection area for a suitable realization that will decrease power consumption and increase the speed of digital filters. This particular work uses a Xilinx FPGA device to implement a 5th order Low pass IIR filter in DF-I, DF-II, and Cascade Form (DF-I/DF-II). Cascade (Direct Form-I) realiz

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Ruano-Ordás, David. "Model for optimising the execution of anti-spam filters." Inteligencia Artificial 19, no. 58 (2016): 45. http://dx.doi.org/10.4114/intartif.vol19iss58pp45-48.

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During last years, the combination of several filtering techniques for the development of anti-spam systems has gained a enormous popularity. However, although the accuracy achieved by these models has increased considerably, its use has entailed the emergence of new challenges such as the need to reduce the excessive use of computational resources, the increase of filtering speed and the adjustment of the weights used for the combination of several filtering techniques. In order to achieve this goal we have been refined several aspects including: (i) the design and development of small techni

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Perko, R., H. Raggam, K. H. Gutjahr, and M. Schardt. "ADVANCED DTM GENERATION FROM VERY HIGH RESOLUTION SATELLITE STEREO IMAGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W4 (March 11, 2015): 165–72. http://dx.doi.org/10.5194/isprsannals-ii-3-w4-165-2015.

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This work proposes a simple filtering approach that can be applied to digital surface models in order to extract digital terrain models. The method focusses on robustness and computational efficiency and is in particular tailored to filter DSMs that are extracted from satellite stereo images. It represents an evolution of an existing DTM generation method and includes distinct advancement through the integration of multi-directional processing as well as slope dependent filtering, thus denoted “MSD filtering”. The DTM generation workflow is fully automatic and requires no user interaction. Exe

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Lu, Yang, and Xiaoli Wang. "EFFECT OF METABOLIC ENZYMES ON ACCELERATION ABILITY IN EXERCISE FATIGUE." Revista Brasileira de Medicina do Esporte 27, no. 3 (2021): 257–61. http://dx.doi.org/10.1590/1517-8692202127032021_0128.

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ABSTRACT Introduction Study the relationship between the metabolic enzyme and the biological image, filtered by an adaptive filtering algorithm. Objective The research aims to In this study, human metabolic enzymes were evaluated by electrocardiogram and electromyogram images, and an adaptive filtering algorithm removed the noises in the images. Methods The electrocardiogram and electromyogram images at different periods were obtained, and the calculation method and application scope of the adaptive filtering algorithm were analysed. Results Adaptive filter was designed by the combination of a

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K. Alkhafaji, Mohammed, and Mohammed Al-Momin. "Design of Dual-Passband Microstrip Filtering Antenna Using Dual-Mode Closed Loop Resonators and Defected Ground Structure." Iraqi Journal for Electrical and Electronic Engineering 21, no. 1 (2024): 162–67. https://doi.org/10.37917/ijeee.21.1.16.

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This paper presents a new microstrip dual-mode closed-loop resonator (DMCLR) that is used to design lower insertion loss and better transmission dual-passband filtering antenna. The dual passband center frequencies of the presented filtering antenna are located at f_o^I=5.52 GHz and f_o^II= 6.65 GHz. The presented dual-mode, dual-passband microstrip filtering antenna results are simulated and optimized by using Computer Simulation Technology (CST) software and defected ground structure technique. Three modes of dual-mode resonators have been utilized to design the dual-passband microstrip filt

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TRIANA, ARJUNA NENI, and MEGA ARIANA. "Perancangan Biosand Filtration untuk Kualitas Air Berdasarkan Tekanan Pompa dari Limbah Industri Kelapa Sawit." Jurnal Teknologi Lingkungan 24, no. 2 (2023): 242–49. http://dx.doi.org/10.55981/jtl.2023.991.

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ABSTRACT The Noman River, the main river that crosses Muaraenim Regency, South Sumatra Province, has been polluted by the liquid waste from the palm oil industry. This study aimed to create a filter device for treating the polluted water waste. This was achieved by designing a pump pressure setting on the filter device with various filter media arrangements. The method used was descriptive, presenting data in graphs and tables. The research and tool design to create a filter device for treating the polluted water waste process involved several stages: tool planning, manufacture and assembly, t

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DOI, Shigeki, Haruo TAKAHASHI, Eiji SHIMIZU, and Minoru MATSUDA. "Scale-space filtering on the underwater information transmission part II." Journal of the Marine Acoustics Society of Japan 17, no. 4 (1990): 238–45. http://dx.doi.org/10.3135/jmasj.17.238.

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Mohammad, Sohana Parveen1 Poonam Swami2 &. C.Deepika3. "AN FPGA IMPLEMENTATION OF PARALLEL 2-D MRI IMAGE FILTERING ALGORITHM USING QUARTUS-II." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 5, no. 6 (2018): 258–65. https://doi.org/10.5281/zenodo.1309261.

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In implementing parallel multi-dimensional image filtering algorithms, field programmable gate array (FPGA) provide beyond the low-level line-by-line hardware description language programming. High level abstract hardware-oriented parallel programming method can structurally bridge this gap. Currently, power is a major factor for implementing any algorithm. In this paper, image filtering algorithm is implemented on cyclone-IV FPGA device. By this, lower power consumption of 0.97W down to 0.39W respectively at maximum sampling frequency of up to 230 MHZ .the functional implementation of all pro

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Guo, Jinsong, Aditya Jami, Markus Kröll, et al. "When Automatic Filtering Comes to the Rescue: Pre-Computing Company Competitor Pairs in Owler." Proceedings of the ACM on Management of Data 1, no. 2 (2023): 1–23. http://dx.doi.org/10.1145/3589787.

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Competitor data constitutes information significantly valuable for many business applications. Meltwater provides users with access to a large Company Information System (CIS), Owler, which contains competitor pairs and other useful information about companies. Meltwater has been seeking a practical solution to discover more competitor pairs in Owler. The first attempt, a fully-manual workflow (called MW_Manual) for finding more competitor pairs in Owler consisted of two manual steps: a filtering step that excludes obvious non-competitor company pairs, and a further inspection process that ins

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Kabius, B., V. Seybold, S. Hiller, A. Rilk, E. Zellmann, and W. Probst. "Energy-Filtering Techniques for Thick Samples." Microscopy and Microanalysis 6, S2 (2000): 166–67. http://dx.doi.org/10.1017/s1431927600033328.

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Imaging of sample regions with a thickness significantly larger than the extinction length and strong thickness variations introduces two major problems for transmission electron microscopy (TEM) : (i) inelastic scattering increases the energy width of the transmitted electrons and therefore the resolution decreases (ii) the contrast differences caused by thickness variations can be higher than the dynamic range of the detector system.Both problems can be solved by using energy filtering techniques. The advantage here is that for energy filtered imaging the resolution limit is not determined b

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Leroux, C., H. Jones, A. Clenet, B. Dreux, M. Becu, and B. Tisseyre. "Simulating yield datasets: an opportunity to improve data filtering algorithms." Advances in Animal Biosciences 8, no. 2 (2017): 600–605. http://dx.doi.org/10.1017/s2040470017000899.

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Yield maps are a powerful tool with regard to managing upcoming crop productions but can contain a large amount of defective data that might result in misleading decisions. The objective of this work is to help improve and compare yield data filtering algorithms by generating simulated datasets as if they had been acquired directly in the field. Two stages were implemented during the simulation process (i) the creation of spatially correlated datasets and (ii) the addition of known yield sources of errors to these datasets. A previously published yield filtering algorithm was applied on these

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Kleinert, M., and U. Stilla. "INFORMATION FILTERING WITH SUBMAPS FOR INERTIAL AIDED VISUAL ODOMETRY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W4 (March 11, 2015): 87–94. http://dx.doi.org/10.5194/isprsannals-ii-3-w4-87-2015.

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This work is concerned with the fusion of inertial measurements (accelerations and angular velocities) with imagery data (feature points extracted in a video stream) in a recursive bundle adjustment framework for indoor position and attitude estimation. Recursive processing is achieved by a combination of local submaps and the Schur complement. The Schur complement is used to reduce the problem size at regular intervals while retaining the information provided by past measurements. Local submaps provide a way to propagate the gauge constraints and thereby to alleviate the detrimental effects o

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Zheng, Zhen, Bingting Zha, Yu Zhou, Jinbo Huang, Youshi Xuchen, and He Zhang. "Single-Stage Adaptive Multi-Scale Point Cloud Noise Filtering Algorithm Based on Feature Information." Remote Sensing 14, no. 2 (2022): 367. http://dx.doi.org/10.3390/rs14020367.

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This paper proposes a single-stage adaptive multi-scale noise filtering algorithm for point clouds, based on feature information, which aims to mitigate the fact that the current laser point cloud noise filtering algorithm has difficulty quickly completing the single-stage adaptive filtering of multi-scale noise. The feature information from each point of the point cloud is obtained based on the efficient k-dimensional (k-d) tree data structure and amended normal vector estimation methods, and the adaptive threshold is used to divide the point cloud into large-scale noise, a feature-rich regio

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Smirnova, Ekaterina, Snehalata Huzurbazar, and Farhad Jafari. "PERFect: PERmutation Filtering test for microbiome data." Biostatistics 20, no. 4 (2018): 615–31. http://dx.doi.org/10.1093/biostatistics/kxy020.

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Summary The human microbiota composition is associated with a number of diseases including obesity, inflammatory bowel disease, and bacterial vaginosis. Thus, microbiome research has the potential to reshape clinical and therapeutic approaches. However, raw microbiome count data require careful pre-processing steps that take into account both the sparsity of counts and the large number of taxa that are being measured. Filtering is defined as removing taxa that are present in a small number of samples and have small counts in the samples where they are observed. Despite progress in the number a

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Toma, Cristian. "Filtering Method Based on Symmetrical Second Order Systems." Symmetry 11, no. 6 (2019): 813. http://dx.doi.org/10.3390/sym11060813.

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This study presents a filtering and sampling structure based on symmetrical second order systems working on half-period. It is shown that undamped second order oscillating systems working on half-period could provide: (i) a large attenuation coefficient for an alternating signal (due to the filtering second order system), and (ii) a robust sampling procedure (the slope of the generated output being zero at the sampling time moment). Unlike previous studies on the same topics, these results are achieved without the use of an additional integrator.

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Pérez Hernández, F., and J. Christensen-Dalsgaard. "The phase function for stellar acoustic oscillations – II. Effects of filtering." Monthly Notices of the Royal Astronomical Society 267, no. 1 (1994): 111–24. http://dx.doi.org/10.1093/mnras/267.1.111.

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Braun, Nils, and Thomas Kuhr. "Software for online reconstruction and filtering at the Belle II experiment." International Journal of Modern Physics A 35, no. 33 (2020): 2043001. http://dx.doi.org/10.1142/s0217751x20430010.

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The Belle II experiment is designed to collect 50 times more data than its predecessor. For a smooth collection of high-quality data, a robust and automated data transport and processing pipeline has been established. We describe the basic software components employed by the high level trigger. It performs a reconstruction of all events using the same algorithms as offline, classifies the events according to physics criteria, and provides monitoring information. The improved system described in this paper has been deployed successfully since 2019.

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Urteaga, Inigo, and Petar M. Djuric. "Sequential Estimation of Hidden ARMA Processes by Particle Filtering—Part II." IEEE Transactions on Signal Processing 65, no. 2 (2017): 494–504. http://dx.doi.org/10.1109/tsp.2016.2598324.

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Yau, Shing-Tung, and Stephen S. T. Yau. "Real Time Solution of the Nonlinear Filtering Problem without Memory II." SIAM Journal on Control and Optimization 47, no. 1 (2008): 163–95. http://dx.doi.org/10.1137/050648353.

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Hubbert, J. C., M. Dixon, and S. M. Ellis. "Weather Radar Ground Clutter. Part II: Real-Time Identification and Filtering." Journal of Atmospheric and Oceanic Technology 26, no. 7 (2009): 1181–97. http://dx.doi.org/10.1175/2009jtecha1160.1.

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Abstract The identification and mitigation of anomalous propagation (AP) and normal propagation (NP) ground clutter is an ongoing problem in radar meteorology. Scatter from ground-clutter targets routinely contaminates radar data and masks weather returns causing poor data quality. The problem is typically mitigated by applying a clutter filter to all radar data, but this also biases weather data at near-zero velocity. Modern radar processors make possible the real-time identification and filtering of AP clutter. A fuzzy logic algorithm is used to distinguish between clutter echoes and precipi

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Burratti, Luca, Marco Zannotti, Valentin Maranges, et al. "Poly(Ethylene Glycol) Diacrylate Hydrogel with Silver Nanoclusters for Water Pb(II) Ions Filtering." Gels 9, no. 2 (2023): 133. http://dx.doi.org/10.3390/gels9020133.

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Poly(ethylene glycol) diacrylate (PEGDA) hydrogels modified with luminescent silver nanoclusters (AgNCs) are synthesized by a photo-crosslinking process. The hybrid material thus obtained is employed to filter Pb(II) polluted water. Under the best conditions, the nanocomposite is able to remove up to 80–90% of lead contaminant, depending on the filter composition. The experimental results indicate that the adsorption process of Pb(II) onto the modified filter can be well modeled using the Freundlich isotherm, thus revealing that the chemisorption is the driving process of Pb(II) adsorption. In

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Amalia, Vina, Tety Sudiarti, Rafa Mufidah, Yuliarti Yuliarti, Yusrina Nisrin, and Yusuf Rohmatulloh. "Characteristics of Cellulose Acetate Composite Membranes (Ca/Cs, Ca/Pva, Ca/Peg) As Cu(Ii) Metal Ion Filtration Membranes." al Kimiya 11, no. 1 (2024): 45–50. http://dx.doi.org/10.15575/ak.v11i1.34722.

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Industrial development in Indonesia has caused increased pollution, including water pollution by heavy metals, one of which is the metal ion Cu(II). Cellulose acetate composite membranes have been widely used to overcome the problem of Cu(II) metal ion content in water, however, studies on the performance of cellulose acetate membranes with various types of chitosan, polyvinyl alcohol (PVA) and polyethylene glycol (PEG) composites have not been widely reported. This research aims to analyze the characteristics of cellulose acetate composite membranes with chitosan, PEG, and PVA using FTIR and

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Samsudin, Nooraisyah N., Dr Suhaila Isaak, and Dr Norlina Paraman. "Implementation of Optimized Low Pass Filter for ECG filtering using Verilog." Journal of Physics: Conference Series 2312, no. 1 (2022): 012049. http://dx.doi.org/10.1088/1742-6596/2312/1/012049.

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Abstract Electrocardiogram is a standard method used for the diagnosis of heart related disease. QRS complex plays an important role in Electrocardiogram signal processing since it is the prominent feature of Electrocardiogram signal. One of the important modules in the QRS detection algorithm is filtering. Electrocardiogram signal is processed to filter out unwanted signal through digital filtering. The main objective of this paper is to compare the resource utilization of hardware realization consumed between Direct Form I structure and Direct Form II structure. In this work, Infinite Impuls

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Yanushevskaya, E. I., V. I. Suprunchuk, and E. V. Ivanyuk. "Impact of polyhexamethylene guanidine on filtering of Pb(II) and Cd(II) hydroxides from aqueous solutions." Journal of Water Chemistry and Technology 38, no. 5 (2016): 273–79. http://dx.doi.org/10.3103/s1063455x16050052.

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Lee, Byong-Ju, Deg-Hyo Bae, and Eylon Shamir. "Stochastic Continuous Storage Function Model with Ensemble Kalman Filtering (II) : Application and Verification." Journal of Korea Water Resources Association 42, no. 11 (2009): 963–72. http://dx.doi.org/10.3741/jkwra.2009.42.11.963.

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Maltezos, E., and C. Ioannidis. "AUTOMATIC DETECTION OF BUILDING POINTS FROM LIDAR AND DENSE IMAGE MATCHING POINT CLOUDS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W5 (August 19, 2015): 33–40. http://dx.doi.org/10.5194/isprsannals-ii-3-w5-33-2015.

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This study aims to detect automatically building points: (a) from LIDAR point cloud using simple techniques of filtering that enhance the geometric properties of each point, and (b) from a point cloud which is extracted applying dense image matching at high resolution colour-infrared (CIR) digital aerial imagery using the stereo method semi-global matching (SGM). At first step, the removal of the vegetation is carried out. At the LIDAR point cloud, two different methods are implemented and evaluated using initially the normals and the roughness values afterwards: (1) the proposed scan line smo

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Cepec, Jaka, and Peter Grajzl. "Measuring the effectiveness of bankruptcy institutions: filtering failures in Slovenian financial reorganizations." Journal of Institutional Economics 15, no. 3 (2019): 553–67. http://dx.doi.org/10.1017/s1744137418000437.

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AbstractWe examine the effectiveness of bankruptcy institutions at promoting socially efficient allocation of resources. Under the Slovenian simplified reorganization procedure, firms with rejected reorganization proposals are not automatically liquidated. This unique institutional feature facilitates an estimation of the extent of different types of filtering failures. Based on an ex-post conceptualization of firm viability, Type I errors (the acceptance of plans by non-viable firms) are more likely than Type II errors (the rejection of plans by viable firms) and the overall incidence of filt

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Hu, Grace X., David R. Kuipers, and Yong Zeng. "Bayesian Inference via Filtering Equations for Ultrahigh Frequency Data (II): Model Selection." SIAM/ASA Journal on Uncertainty Quantification 6, no. 1 (2018): 61–86. http://dx.doi.org/10.1137/16m1094774.

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Chu, Dongsheng, Meng Liang, Xin Shi, and Ling Zhang. "Optimal filtering algorithm for stochastic 2-D FMM II with multiplicative noise." Journal of Ocean University of China 3, no. 1 (2004): 106–10. http://dx.doi.org/10.1007/s11802-004-0018-7.

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GHOSH, N., R. S. WADHWA, B. S. SHROTRI, and D. PATELLA. "LOW-PASS FILTERING OF NOISY FIELD SCHLUMBERGER SOUNDING CURVES PART II: APPLICATION*." Geophysical Prospecting 34, no. 1 (1986): 124–29. http://dx.doi.org/10.1111/j.1365-2478.1986.tb00457.x.

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Majda, George. "Filtering Techniques for Systems of Stiff Ordinary Differential Equations II. Error estimates." SIAM Journal on Numerical Analysis 22, no. 6 (1985): 1116–34. http://dx.doi.org/10.1137/0722067.

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Hespel, Laurent, André Delfour, and Bernard Guillame. "Mie light-scattering granulometer with an adaptive numerical filtering method II Experiments." Applied Optics 40, no. 6 (2001): 974. http://dx.doi.org/10.1364/ao.40.000974.

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Kolokoltsov, Vassili. "CTRW modeling of quantum measurement and fractional equations of quantum stochastic filtering and control." Fractional Calculus and Applied Analysis 25, no. 1 (2022): 128–65. http://dx.doi.org/10.1007/s13540-021-00002-2.

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AbstractInitially developed in the framework of quantum stochastic calculus, the main equations of quantum stochastic filtering were later on derived as the limits of Markov models of discrete measurements under appropriate scaling. In many branches of modern physics it became popular to extend random walk modeling to the continuous time random walk (CTRW) modeling, where the time between discrete events is taken to be non-exponential. In the present paper we apply the CTRW modeling to the continuous quantum measurements yielding the new fractional in time evolution equations of quantum filter

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Lv, Jun-Yi, Jun-Ming Zhang, Peng-Fei Lv, and Li-Xin Xu. "A Dual-Band Patch Antenna with Combined Self-Decoupling and Filtering Properties and Its Application in Dual/Squad-Band Two-Element MIMO Array." Sensors 24, no. 21 (2024): 6833. http://dx.doi.org/10.3390/s24216833.

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This paper proposes a dual-band patch antenna with combined self-decoupling and filtering properties, designed to suppress mutual coupling between two antenna elements both within the same dual-band and across different dual-bands. Initially, a dual-band aperture-coupled filtering patch antenna is designed, featuring a forked short-circuited SIR feedline with a quarter-wavelength open-ended stub and a U-shaped patch with two U-slots, which generate three controllable radiation nulls while introducing two additional resonant modes. The design steps are also provided in detail. Subsequently, the

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Ménétrier, Benjamin, Thibaut Montmerle, Yann Michel, and Loïk Berre. "Linear Filtering of Sample Covariances for Ensemble-Based Data Assimilation. Part II: Application to a Convective-Scale NWP Model." Monthly Weather Review 143, no. 5 (2015): 1644–64. http://dx.doi.org/10.1175/mwr-d-14-00156.1.

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Abstract In Part I of this two-part study, a new theory for optimal linear filtering of covariances sampled from an ensemble of forecasts was detailed. This method, especially designed for data assimilation (DA) schemes in numerical weather prediction (NWP) systems, has the advantage of using optimality criteria that involve sample estimated quantities and filter output only. In this second part, the theory is tested with real background error covariances computed using a large ensemble data assimilation (EDA) at the convective scale coupled with a large EDA at the global scale, based respecti

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Brédif, M. "Projective Texturing Uncertain Geometry: silhouette-aware box-filtered blending using integral radial images." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3 (August 7, 2014): 17–23. http://dx.doi.org/10.5194/isprsannals-ii-3-17-2014.

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Projective texturing is a commonly used image based rendering technique that enables the synthesis of novel views from the blended reprojection of nearby views on a coarse geometry proxy approximating the scene. When scene geometry is inexact, aliasing artefacts occur. This introduces disturbing artefacts in applications such as street-level immersive navigation in mobile mapping imagery, since a pixel-accurate modelling of the scene geometry and all its details is most of the time out of question. The filtered blending approach applies the necessary 1D low-pass filtering on the projective tex

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DOUGHERTY, EDWARD R., and ROBERT P. LOCE. "ROBUST MORPHOLOGICALLY CONTINUOUS FOURIER DESCRIPTORS II: CONTINUITY AND OCCLUSION ANALYSIS." International Journal of Pattern Recognition and Artificial Intelligence 06, no. 05 (1992): 893–911. http://dx.doi.org/10.1142/s021800149200045x.

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Fourier descriptors based upon the waveform induced by a pattern's projection overcome a number of classic difficulties with Fourier-descriptor methodology. Not only are the descriptors invariant with respect to scale, translation, and rotation (as is usually the case), they are also continuous in the Hausdorff metric and robust with respect to both point noise and occlusion; insensitivity with respect to minimum occlusions is perhaps their most significant advantage. Continuity in the Hausdorff metric allows prediction of the effect on the descriptors when morphologically filtering a pattern.

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Rennie, K. J., A. J. Ricci, and M. J. Correia. "Electrical filtering in gerbil isolated type I semicircular canal hair cells." Journal of Neurophysiology 75, no. 5 (1996): 2117–23. http://dx.doi.org/10.1152/jn.1996.75.5.2117.

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1. Membrane potential responses of dissociated gerbil type I semicircular canal hair cells to current injections in whole cell current-clamp have been measured. The input resistance of type I cells was 21.4 +/- 14.3 (SD) M omega, (n = 25). Around the zero-current potential (Vz = -66.6 +/- 9.3 mV, n = 25), pulsed current injections (from approximately -200 to 750 pA) produced only small-amplitude, pulse-like changes in membrane potential. 2. Injecting constant current to hyperpolarize the membrane to around -100 mV resulted in a approximately 10-fold increase in membrane resistance. Current pul

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Hirpara, Ravish H. "Filtering theory for an Ornstein-Uhlenbeck process driven power system dynamics." Control and Cybernetics 53, no. 2 (2024): 355–70. https://doi.org/10.2478/candc-2024-0015.

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Abstract This paper revisits the non-Markovian state vector of an Ornstein-Uhlenbeck process-driven power system dynamics in non-linear filtering framework. The Fokker-Planck setting accounts for the process noise correction term and ignores the observation noise correction term in the analysis of stochastic systems. This paper introduces the notion of the ‘Kushner-Stratonovich setting’, which accounts for the process noise as well as observation noise correction terms in the conditional moment evolution equation. The Kushner-Stratonovich setting is the cornerstone formalism of nonlinear filte

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Kemao, Qian, and Seah Hock Soon. "A Simple Phase Unwrapping Approach Based on Filtering by Windowed Fourier Transform (II)." Key Engineering Materials 326-328 (December 2006): 67–70. http://dx.doi.org/10.4028/www.scientific.net/kem.326-328.67.

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Phase unwrapping is an important and challenging process in optical interferometry. Difficulties in phase unwrapping are usually caused by either noise (“bad” pixels) or invalid areas (“bad” regions). If the “bad” pixels can be removed, the problems due to the noise are solved. Further, if the “bad” regions can be identified, they can be avoided in phase unwrapping. In our previous work the noise can be successfully removed using a windowed Fourier transform [Optics and Lasers Technology, 37:458-462 (2005)]. In this paper we will show that the invalid areas can be identified by the same window

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Sacher, William, and Peter Bartello. "Sampling Errors in Ensemble Kalman Filtering. Part II: Application to a Barotropic Model." Monthly Weather Review 137, no. 5 (2009): 1640–54. http://dx.doi.org/10.1175/2008mwr2685.1.

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Abstract In the current study, the authors are concerned with the comparison of the average performance of stochastic versions of the ensemble Kalman filter with and without covariance inflation, as well as the double ensemble Kalman filter. The theoretical results obtained in Part I of this study are confronted with idealized simulations performed with a perfect barotropic quasigeostrophic model. Results obtained are very consistent with the analytic expressions found in Part I. It is also shown that both the double ensemble Kalman filter and covariance inflation techniques can avoid filter d

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Prasad, S., and S. D. Joshi. "A new recursive pseudo least squares algorithm for ARMA filtering and modeling. II." IEEE Transactions on Signal Processing 40, no. 11 (1992): 2775–83. http://dx.doi.org/10.1109/78.165664.

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Sadeghi, Roksana, Arathy Kartha, Michael P. Barry, et al. "Thermal and Distance image filtering improve independent mobility in Argus II retinal implant." Journal of Vision 19, no. 15 (2019): 23. http://dx.doi.org/10.1167/19.15.23.

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