Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jukka Neejärvi"'
Publikováno v:
Signal Processing. 31:181-190
In this paper, we introduce new weighted FIR median hybrid (FMH) filters consisting of combinations of averaging and ramp predicting FIR substructures, the input signal and the weighted median operation. We analyze two weighted FMH filter structures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31bca05e1cb766227de835dfc1bf306e
https://doi.org/10.1016/0165-1684(93)90064-h
https://doi.org/10.1016/0165-1684(93)90064-h
Publikováno v:
Microprocessing and Microprogramming. 32:447-452
This paper presents a fast and efficient approach to picture segmentation using morphological filters for industrial applications. Using a priori information of the texture, pictures are preprocessed and segmented by thresholding. The statistical mor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7d6cd607d866e1ac5e28296e808b747
https://doi.org/10.1016/0165-6074(91)90384-6
https://doi.org/10.1016/0165-6074(91)90384-6
Publikováno v:
1991., IEEE International Sympoisum on Circuits and Systems.
A new class of FIR (finite impulse response) median hybrid filters for nonlinear signal processing is proposed. The proposed filters, five-point weighted FIR median hybrid (WFMH) filters, consist of combinations of averaging and ramp predicting FIR s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92d53909f316ecea59743210d16a2f2a
https://doi.org/10.1109/iscas.1991.176313
https://doi.org/10.1109/iscas.1991.176313
Publikováno v:
SPIE Proceedings.
In this paper, we analyze statistical properties of 1-D median type and morphological filters. Analytical formulas for the expectation of the dilation and closing in the case of i.i.d. Laplacian noise and explicit formulas for the expectation and var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c412421c756205e6e5b2070391209e89
https://doi.org/10.1117/12.131454
https://doi.org/10.1117/12.131454
Publikováno v:
Tampere University
This paper presents a class of nonlinear filters to remove step-like disturbances from various types of physiological signals. The step artifacts contain a broad spectrum of frequencies which makes them difficult to separate from the signal without l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6291f23a817b86e60bcf9be62dcfb4b4
https://researchportal.tuni.fi/en/publications/b4dc1e48-a85e-4532-a331-0156857b4b9c
https://researchportal.tuni.fi/en/publications/b4dc1e48-a85e-4532-a331-0156857b4b9c
