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Weighted Iterative Truncated Mean Filter

Zhenwei Miao, Xudong Jiang
2013 IEEE Transactions on Signal Processing  
The iterative truncated arithmetic mean (ITM) filter was proposed recently. It offers a way to estimate the sample median by simple arithmetic computing instead of the time consuming data sorting.  ...  In this paper, a rich class of filters named weighted ITM (WITM) filters are proposed. By iteratively truncating the extreme samples, the output of the WITM filter converges to the weighted median.  ...  Edge preservation and noise suppression can be achieved within just a few iterations. It also provides an approach to estimate the median by a simple arithmetic computing algorithm.  ... 
doi:10.1109/tsp.2013.2267739 fatcat:qczragxqbzgy3ft25syfa24ume

Additive and exclusive noise suppression by iterative trimmed and truncated mean algorithm

Zhenwei Miao, Xudong Jiang
2014 Signal Processing  
Compared to the median filter and the iterative truncated arithmetic mean (ITM) filter, the proposed ITTM filter suppresses noise more effectively in some cases and has lower computational complexity.  ...  An iterative trimmed and truncated arithmetic mean (ITTM) algorithm is proposed, and the ITTM filters are developed.  ...  The proposed trimming and truncating rules guarantee the filters' outputs approaching the median by increasing the number of iterations.  ... 
doi:10.1016/j.sigpro.2013.12.002 fatcat:urgoerfpera5bkiipgdzfpj4ce

Iterative Truncated Arithmetic Mean Filter and Its Properties

Xudong Jiang
2012 IEEE Transactions on Image Processing  
Although the proposed iterative truncated mean (ITM) algorithm is not aimed at the median, it offers a way to estimate the median by simple arithmetic computing.  ...  Some dynamic truncation thresholds are proposed that guarantee the filter output, starting from the mean, to approach the median of the input samples.  ...  Similar to the ITM filter, the myriad filter also needs an iterative algorithm, whose computational complexity is, however, much greater than the ITM filter.  ... 
doi:10.1109/tip.2011.2172805 pmid:22020689 fatcat:lz36tpt6vrexdammjwusyoxata

Robust direction-of-arrival estimation for FM sources in the presence of impulsive noise

Waqas Sharif, Philipp Heidenreich, Abdelhak M. Zoubir
2010 2010 IEEE International Conference on Acoustics, Speech and Signal Processing  
Time-frequency methods can utilize the non-stationarity of signals to enhance the resolution capability and accuracy in direction-of-arrival estimation.  ...  We apply a robust time-frequency method in combination with morphological image processing to estimate the instantaneous frequency of the sources.  ...  In [5] the author has defined a myriadized filtering approach to obtain a robust TFD. In this paper, we consider the problem of DOA estimation for FM signals under heavy tailed noise.  ... 
doi:10.1109/icassp.2010.5495886 dblp:conf/icassp/SharifHZ10 fatcat:5cgtoj4sivhmxma6v65wxddfk4

Robust L-estimation based forms of signal transforms and time-frequency representations

I. Djurovic, L.J. Stankovic, J.F. Bohme
2003 IEEE Transactions on Signal Processing  
The standard signal transforms follow as the maximum likelihood solutions for the Gaussian additive noise environment.  ...  In this case, the L-estimation based signal representations can produce the best results. These transforms and TF representations give the standard and the median based forms as special cases.  ...  Recently, it has been shown that a form of the robust Fourier transform can be obtained without iterative procedures, by using the median filter approach [8] .  ... 
doi:10.1109/tsp.2003.812739 fatcat:g2mtldty7bhfzcq4thpklhilc4

The handling qualities simulation program for the augmentor wing jet STOL research aircraft

William B. Cleveland
1971 Proceedings of the May 16-18, 1972, spring joint computer conference on - AFIPS '72 (Spring)  
This scheme in all other respects acts as the original more crude iterative scheme for conventional aircraft trim, iterating until the three accelerations are nulled.  ...  Theoretically the analog computer was not needed since no part of the aircraft was simulated on it but with the myriad of devices requiring data transfer to and from the digital computer it is impractical  ... 
doi:10.1145/1479064.1479108 dblp:conf/afips/Cleveland71 fatcat:x7i5uh3zonbz7jc47n54ws54rq

Wōtan: Comprehensive Time-series Detrending in Python

Michael Hippke, Trevor J. David, Gijs D. Mulders, René Heller
2019 Astronomical Journal  
We conclude that the ideal method is a time-windowed slider with an iterative robust location estimator based on Tukey's biweight.  ...  The full parameter range is explored for each method to determine the best choices for planet discovery.  ...  CoFiAM uses a sum-of-(co)sines approach, where the optimal detrending is determined iteratively.  ... 
doi:10.3847/1538-3881/ab3984 fatcat:ezqyy5fl4rfrzoxt22misvnpgi

Robust DFT-based filtering of pulse-like FM signals corrupted by impulsive noise

Igor Djurović, Vladimir V. Lukin
2007 Signal, Image and Video Processing  
Filtered signals from the intervals are obtained by applying the standard inverse DFT for the robust DFTs applied to input data.  ...  Computational complexity analysis is also provided.  ...  The weighted median/myriad filters admitting negative weights require iterative or learning procedures for determination of weights that could be relatively complex.  ... 
doi:10.1007/s11760-007-0005-8 fatcat:ibtr6pmu3ncvfemls2ibt2xqny

Deep Neural Network: An Efficient and Optimized Machine Learning Paradigm for Reducing Genome Sequencing Error [article]

Ferdinand Kartriku, Dr. Robert Sowah, Charles Saah
2020 arXiv   pre-print
On the two main types of genome errors - substitution and indels - our work is focused on correcting indels. A deep learning approach was used to correct the errors in sequencing the chosen dataset  ...  This means that the analysis and inferences generated from these data may have some errors that need to be corrected.  ...  The application of the advancement in data science, mathematics and computer science in biology has brought on board a myriad of attempts aimed at solving this problem.  ... 
arXiv:2010.03420v1 fatcat:fdqqac4trzghrifxihv6vqla6y

Boosting the Hodrick-Prescott Filter

Peter C. B. Phillips, Zhentao Shi
2019 Social Science Research Network  
We call this iterated HP technique the boosted HP filter in view of its connection to L 2 -boosting in machine learning.  ...  This paper proposes an easyto-implement practical procedure of iterating the HP smoother that is intended to make the filter a smarter smoothing device for trend estimation and trend elimination.  ...  The end points are trimmed in M n to accommodate start-up in the AR(4) process and end points in the HP filter.  ... 
doi:10.2139/ssrn.3447546 fatcat:5nesg5p43bg6fni7pjya3d7k5e

Differential expression analysis of log-ratio transformed counts: benchmarking methods for RNA-Seq data [article]

Thomas Quinn, Tamsyn Crowley, Mark Richardson
2017 bioRxiv   pre-print
The latter was previously used to benchmark dozens of conventional RNA-Seq differential expression methods, enabling us to directly compare transformation-based approaches.  ...  Instead, the data are constrained to an arbitrary "library size" by the sequencing depth of the assay, and typically must be normalized prior to statistical analysis.  ...  Although the computational basis of "quasi-mapping" differs from other approaches, this method produces (pseudo-)counts that appear to work well for trimmed M of means (TMM) normalization (used by edgeR  ... 
doi:10.1101/231175 fatcat:6gr5ck2xurbvrd2rowe2g5qg7e

Benchmarking differential expression analysis tools for RNA-Seq: normalization-based vs. log-ratio transformation-based methods

Thomas P. Quinn, Tamsyn M. Crowley, Mark F. Richardson
2018 BMC Bioinformatics  
One of the latter was previously used to benchmark dozens of conventional RNA-Seq differential expression methods, enabling us to directly compare transformation-based approaches.  ...  Instead, the data are constrained to an arbitrary "library size" by the sequencing depth of the assay, and typically must be normalized prior to statistical analysis.  ...  Although the computational basis of "quasi-mapping" differs from other approaches, this method produces (pseudo-)counts that appear to work well for trimmed M of means (TMM) normalization (used by edgeR  ... 
doi:10.1186/s12859-018-2261-8 pmid:30021534 pmcid:PMC6052553 fatcat:sc6jt3ddsvhproroidxcc4vh5a

Preprocessing of compressed digital video

C. Andrew Segall, Passant V. Karunaratne, Aggelos K. Katsaggelos, Bernd Girod, Charles A. Bouman, Eckehard G. Steinbach
2000 Visual Communications and Image Processing 2001  
Results explore the effect of several standard filters on the DFD. An adaptive technique is then considered.  ...  Unfortunately, determining the appropriate amount of pre-filtering is a difficult problem, as it depends on both the content of an image as well as the target bit-rate of compression algorithm.  ...  To facilitate an iterative approach to selecting the pre-processing parameters, we advocate a pre-filter that is located directly before the quantization operator of the encoder.  ... 
doi:10.1117/12.411794 fatcat:z4qv4p3wpzbvvhsiasurn7ks3m

Selection weighted vector directional filters

Rastislav Lukac, Bogdan Smolka, Konstantinos N Plataniotis, Anastasios N Venetsanopoulos
2004 Computer Vision and Image Understanding  
The WVDF output minimizes the sum of weighted angular distances to other input samples from the filtering window.  ...  Dependent on the weighting coefficients, the class of the WVDFs can be designed to perform a number of smoothing operations with different properties, which can be applied for specific filtering scenarios  ...  Hybrid filtering schemes Developed later, the DFF [18] and the HVFs [12] techniques combine both ordering criteria (18) and (22) . This causes both approaches to be computationally demanding.  ... 
doi:10.1016/j.cviu.2003.10.013 fatcat:7qrxyjuoobfztc3md3aiy66ztq

Boosting: Why You Can Use the HP Filter [article]

Peter C.B. Phillips, Zhentao Shi
2020 arXiv   pre-print
We call this iterated HP technique the boosted HP filter in view of its connection to L_2-boosting in machine learning.  ...  This paper proposes an easy-to-implement practical procedure of iterating the HP smoother that is intended to make the filter a smarter smoothing device for trend estimation and trend elimination.  ...  The end points are trimmed in M n to accommodate start-up in the AR(4) process and end points in the HP filter.  ... 
arXiv:1905.00175v3 fatcat:3ljmg6deevcmzgvs4hykmlqcx4
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