smoothn

버전 2.3 (9.47 KB) 작성자: Damien Garcia

SMOOTHN allows automatized and robust smoothing in arbitrary dimension w/wo missing values

http://www.biomecardio.com

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4.9

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다운로드 수: 16.7K

업데이트 날짜: 2020/6/20

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편집자 메모: This file was selected as MATLAB Central Pick of the Week

SMOOTHN provides a fast, unsupervised and robust discretized spline smoother for data of arbitrary dimension.

SMOOTHN(Y) automatically smoothes the uniformly-sampled array Y. Y can be any N-D multicomponent noisy array (e.g. time series, images, 3D data, 3D vector fields, tensors...).

To smooth a vector field or multi-component data, Y must be a cell array. For example, if you need to smooth a 3-D vectorial flow (Vx,Vy,Vz), use Y = {Vx,Vy,Vz}. The output Z is also a cell array which contains the smoothed components.

SMOOTHN can deal with missing (NaN) values (see screenshot and examples).

SMOOTHN(...,'robust') carries out a robust smoothing that minimizes the influence of outlying data (see screenshot and examples).

SMOOTHN is made unsupervised by the minimization of the generalized cross-validation score.

Enter "help smoothn" in the Matlab command window for complete instructions and 1-D to 3-D examples.

A series of 8 documented examples is available here:
http://www.biomecardio.com/matlab/smoothn_doc.html

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When using this algorithm, please refer to these 2 papers:
1) Garcia D. Robust smoothing of gridded data in one and higher dimensions with missing values.
Comput Statist Data Anal, 2010;54:1167-1178
http://www.biomecardio.com/publis/csda10.pdf
2) Garcia D. A fast all-in-one method for automated post-processing of PIV data.
Exp Fluids, 2011;50:1247-1259.
http://www.biomecardio.com/publis/expfluids11.pdf
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인용 양식

Damien Garcia (2024). smoothn (https://www.mathworks.com/matlabcentral/fileexchange/25634-smoothn), MATLAB Central File Exchange. 검색 날짜: 2024/11/24.

Garcia, Damien. “Robust Smoothing of Gridded Data in One and Higher Dimensions with Missing Values.” Computational Statistics & Data Analysis, vol. 54, no. 4, Elsevier BV, Apr. 2010, pp. 1167–78, doi:10.1016/j.csda.2009.09.020.

양식 더 보기

Garcia, Damien. “A Fast All-in-One Method for Automated Post-Processing of PIV Data.” Experiments in Fluids, vol. 50, no. 5, Springer Science and Business Media LLC, Oct. 2010, pp. 1247–59, doi:10.1007/s00348-010-0985-y.

양식 더 보기

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도움

도움 준 파일: PCG_unwrap_2D(ph_nii, ph_file, mask_nii, max_iter, epsi_con, N), Quick & easy smoothing, Robust smoothing for 1-D to N-D data (easy version of SMOOTHN), PIVsuite

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smoothn

버전	게시됨	릴리스 정보
2.3	2020/6/20	BSXFUN is no longer used (version thus must be >= R2017)	다운로드
2.2.1	2018/9/16	verLessThan('matlab','9.2'); instead of verLessThan('matlab','9.1');	다운로드
2.2	2018/9/5	- fixed bug in isstruct(varargin{end-1}) - no longer use BSXFUN w/ recent Matlab versions	다운로드
2.1.4.0	2017/9/21	updated links	다운로드
2.1.3.0	2017/9/21	updated links	다운로드
2.1.2.0	2017/9/21	updated links	다운로드
2.1.1.0	2016/7/25	.	다운로드
2.1.0.0	2016/7/25	minor updates: 1) use narginchk, 2) two warning messages slightly modified	다운로드
2.0.0.0	2016/7/25	minor update: 1) use narginchk, 2) some warning messages slightly modified	다운로드
1.37.0.0	2015/1/21	I noticed a minor error in one comment	다운로드
1.36.0.0	2014/10/12	.	다운로드
1.35.0.0	2014/10/12	.	다운로드
1.34.0.0	2014/10/12	Some modifications in the help text	다운로드
1.33.0.0	2014/2/10	To simplify the syntax, the termination parameters are now in a structure (OPTIONS).	다운로드
1.32.0.0	2013/12/20	Numerical adjustment in the leverage (for robust smoothing) in the case of unequal spacing increments.	다운로드
1.31.0.0	2013/12/19	SMOOTHN, by default, assumes that the spacing increments are constant and equal in all the directions (i.e. dx = dy = dz = ...). Spacing increments that differ from one direction to the other can now be used (enter "help smoothn" for details).	다운로드
1.30.0.0	2013/11/20	There was a non negligible bug in the new SMOOTHN function: d = ndims(y) => d = ndims(y{1}) Many thanks to Gianni Pedrizzetti.	다운로드
1.28.0.0	2013/11/11	Update of the help text	다운로드
1.27.0.0	2013/11/4	A minor bug in the "Initial Guess" criterion has been removed	다운로드
1.26.0.0	2013/9/11	A bug was present when dealing with complex numbers	다운로드
1.25.0.0	2013/8/27	A small bug was present in the subfunction InitialGuess (Thank you Jonathan!)	다운로드
1.24.0.0	2013/6/27	One bug has been fixed.	다운로드
1.23.0.0	2013/5/31	SMOOTHN now works with multicomponent data (e.g. 3D vector fields) by using cell arrays. See the help text for details.	다운로드
1.22.0.0	2013/4/30	DCTN and IDCTN are now included in SMOOTHN	다운로드
1.21.0.0	2012/4/11	some typos	다운로드
1.20.0.0	2011/11/25	3 optional weighting functions	다운로드
1.19.0.0	2011/11/23	3 optional weighting functions	다운로드
1.12.0.0	2010/11/8	minor modifications: mlint messages removed	다운로드
1.11.0.0	2010/6/10	Some options have been removed/added	다운로드
1.10.0.0	2010/4/26	fix a minor bug with the warning messages	다운로드
1.9.0.0	2010/2/25	Minor modification in the relaxation factor	다운로드
1.8.0.0	2010/1/27	A minor bug in error(nargchk(...))	다운로드
1.7.0.0	2010/1/19	Gamma was undefined when "isauto" variable was false.	다운로드
1.6.0.0	2010/1/15	The link to the manuscript has been modified.	다운로드
1.5.0.0	2009/12/17	A bug has been reported with a smoothness parameter input. Thank you B.S.	다운로드
1.3.0.0	2009/12/7	Very much faster now with weighted/missing data: 1) SOR 2) Initial guess from nearest-neighbor interpolation 3) GCV score is minimized every 2^k iterations (k = 0...)	다운로드
1.2.0.0	2009/11/17	The "upsample" option has been removed	다운로드
1.1.0.0	2009/10/30	An example has been added	다운로드
1.0.0.0	2009/10/22		다운로드

MLA	Garcia, Damien. “Robust Smoothing of Gridded Data in One and Higher Dimensions with Missing Values.” Computational Statistics & Data Analysis, vol. 54, no. 4, Elsevier BV, Apr. 2010, pp. 1167–78, doi:10.1016/j.csda.2009.09.020.
APA	Garcia, D. (2010). Robust smoothing of gridded data in one and higher dimensions with missing values. Computational Statistics & Data Analysis, 54(4), 1167–1178. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.csda.2009.09.020
BibTeX	@article{Garcia_2010, doi = {10.1016/j.csda.2009.09.020}, url = {https://doi.org/10.1016%2Fj.csda.2009.09.020}, year = 2010, month = {apr}, publisher = {Elsevier {BV}}, volume = {54}, number = {4}, pages = {1167--1178}, author = {Damien Garcia}, title = {Robust smoothing of gridded data in one and higher dimensions with missing values}, journal = {Computational Statistics {\&} Data Analysis} }

MLA	Garcia, Damien. “A Fast All-in-One Method for Automated Post-Processing of PIV Data.” Experiments in Fluids, vol. 50, no. 5, Springer Science and Business Media LLC, Oct. 2010, pp. 1247–59, doi:10.1007/s00348-010-0985-y.
APA	Garcia, D. (2010). A fast all-in-one method for automated post-processing of PIV data. Experiments in Fluids, 50(5), 1247–1259. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs00348-010-0985-y
BibTeX	@article{Garcia_2010, doi = {10.1007/s00348-010-0985-y}, url = {https://doi.org/10.1007%2Fs00348-010-0985-y}, year = 2010, month = {oct}, publisher = {Springer Science and Business Media {LLC}}, volume = {50}, number = {5}, pages = {1247--1259}, author = {Damien Garcia}, title = {A fast all-in-one method for automated post-processing of {PIV} data}, journal = {Experiments in Fluids} }