Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jinsung Oh"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
We consider the reconstruction of signals from nonuniformly spaced samples using a projection onto convex sets (POCSs) implemented with the evolutionary time-frequency transform. Signals of practical interest have finite time support and are nearly b
Externí odkaz:
https://doaj.org/article/df01ffc7fd0848a6ac2e5cf3c1f7aa9d
Publikováno v:
Signal Processing. 92:1157-1165
In this paper, we propose a method for efficient signal reconstruction from non-uniformly spaced samples collected using level-crossing sampling. Level-crossing (LC) sampling captures samples whenever the signal crosses predetermined quantization lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a8f5f89d68392231e4c52149ce0c6bb
https://doi.org/10.1016/j.sigpro.2011.11.017
https://doi.org/10.1016/j.sigpro.2011.11.017
Autor:
Younam Kim, Jinsung Oh
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1140-1143
In this paper, we present a new frequency identification technique using the recent methodology of compressive sensing and discrete prolate spheroidal sequences with optimal energy concentration. Using the bandpass form of discrete prolate spheroidal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98bae7a95c5a3e51b02a9b56a9b81a3e
https://doi.org/10.1587/transfun.e94.a.1140
https://doi.org/10.1587/transfun.e94.a.1140
Autor:
Heesoo Hwang, Jinsung Oh
Publikováno v:
International Journal of Control, Automation and Systems. 8:857-861
In this paper, we present a new morphology-based homomorphic filtering technique for feature enhancement in medical images. The proposed method is based on decomposing an image into morphological subbands. The homomorphic filtering is performed using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cbc4def608b52e623928309878e4271
https://doi.org/10.1007/s12555-010-0418-y
https://doi.org/10.1007/s12555-010-0418-y
Autor:
Jinsung Oh, Heesoo Hwang
Publikováno v:
International Journal of Control, Automation and Systems. 8:702-706
Predicting stock prices with traditional time series analysis has proven to be difficult. Fuzzy models have recently been used to predict stock market prices because they are capable of extracting useful information from large sets of data without an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90b8a86c1c9319770d2fda928b363058
https://doi.org/10.1007/s12555-010-0325-2
https://doi.org/10.1007/s12555-010-0325-2
Autor:
Hee-Soo Hwang, Jinsung Oh
Publikováno v:
Journal of Korean Institute of Intelligent Systems. 19:689-694
본 논문은 일별 및 주별로 시계열 주가를 예측할 수 있는 퍼지 모델을 구성하는 방법을 제안한다. 전통적인 시계열 분석으로 주가를 예측하는 것은 어렵지만 퍼지 모델은 비선형적인 주가
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::927e32c9983c64788ad007c538ea14b0
https://doi.org/10.5391/jkiis.2009.19.5.689
https://doi.org/10.5391/jkiis.2009.19.5.689
Evolutionary Design of Morphology-Based Homomorphic Filter for Feature Enhancement of Medical Images
Autor:
Heesoo Hwang, Jinsung Oh
Publikováno v:
International Journal of Fuzzy Logic and Intelligent Systems. 9:172-177
In this paper, a new morphology-based homomorphic filtering technique is presented to enhance features in medical images. The homomorphic filtering is performed based on the morphological sub-bands, in which an image is morphologically decomposed. An
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dd5e372d83d70f0b70f96da44e6aad4
https://doi.org/10.5391/ijfis.2009.9.3.172
https://doi.org/10.5391/ijfis.2009.9.3.172
Autor:
Jinsung Oh, Younam Kim
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1228-1231
In this paper, we present a directional interpolation filter in which the minimum and maximum pixels in the given window are excluded. Image pixels within a predefined window are ranked and classified as minimum-maximum or exclusive level, and then p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26da7880b5d7be3b7fa4bb9e13221762
https://doi.org/10.1093/ietfec/e90-a.6.1228
https://doi.org/10.1093/ietfec/e90-a.6.1228
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :2451-2454
In this paper, we present a minimum-maximum exclusive weighted-mean filtering algorithm with adaptive window. Image pixels within the varying size of the window are ranked and classified as minimum-maximum and median levels, and then passed through t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba7475c53d1ec82a2c74fe8c45c966bb
https://doi.org/10.1093/ietfec/e88-a.9.2451
https://doi.org/10.1093/ietfec/e88-a.9.2451
Autor:
Luis F. Chaparro, Jinsung Oh
Publikováno v:
Multidimensional Systems and Signal Processing. 11:233-256
In this paper we first introduce a neural network implementation for fuzzy morphological operators, and by means of a training method and differentiable equivalent representations for the operators we then derive efficient adaptation algorithms to op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92da80eefe8ee290bcbd80676b91c3c4
https://doi.org/10.1023/a:1008486530629
https://doi.org/10.1023/a:1008486530629