{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T05:01:40Z","timestamp":1698037300295},"reference-count":9,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2007,3,22]],"date-time":"2007-03-22T00:00:00Z","timestamp":1174521600000},"content-version":"vor","delay-in-days":5924,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems &amp; Computers in Japan"],"published-print":{"date-parts":[[1991,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>As is often the case, experimental data contain various superimposed signals, from which the required signal or signals must be extracted. In such cases, the required signal level has not always been higher than the other signal levels. Therefore, it was difficult to eliminate all unnecessary signals using conventional noise elimination methods by classifying unnecessary signals as noise. To overcome such difficulties, a multistage signal extraction method is suggested which extracts the desired signal component by applying the filtering in multi\u2010stages. The results extracted by this method contain only the required signals plus the noise with the same amplitude readings. This makes it easier to reduce the complexity of signal extraction in later stages, such as the signal extraction based on other data information.<\/jats:p><jats:p>In this study, a spline filter is constructed using the cubic B\u2010spline smoothing process, which has versatility and is employed widely as a practical method. The multistage signal extraction method has versatility, and filters other than the spline filter can be utilized if the waveform is not overly distorted.<\/jats:p>","DOI":"10.1002\/scj.4690220408","type":"journal-article","created":{"date-parts":[[2007,7,7]],"date-time":"2007-07-07T20:53:14Z","timestamp":1183841594000},"page":"77-87","source":"Crossref","is-referenced-by-count":0,"title":["Multistage signal extraction method with spline filter"],"prefix":"10.1002","volume":"22","author":[{"given":"Fumihiko","family":"Yano","sequence":"first","affiliation":[]},{"given":"Yoshiaki","family":"Toyoda","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2007,3,22]]},"reference":[{"key":"e_1_2_1_2_2","volume-title":"Waveform Data Processing for Scientific Measurement","author":"Minami S.","year":"1986"},{"issue":"4","key":"e_1_2_1_3_2","first-page":"297","article-title":"\u03b5\u2010Separation nonlinear digital filter and its application","volume":"65","author":"Harashima H.","year":"1982","journal-title":"Trans. (A), I.E.I.C.E., Japan"},{"issue":"8","key":"e_1_2_1_4_2","first-page":"1360","article-title":"A proposal of averaging filter with adaptive window width","volume":"72","author":"Taguchi R.","year":"1989","journal-title":"Trans. (A), I.E.I.C.E., Japan"},{"key":"e_1_2_1_5_2","first-page":"189","volume-title":"Spline Smoothing and Non\u2010parametric Regression","author":"Eubank R. L.","year":"1988"},{"key":"e_1_2_1_6_2","volume-title":"Spline Function and Its Application","author":"Ichida K.","year":"1979"},{"issue":"11","key":"e_1_2_1_7_2","first-page":"1816","article-title":"A simplified algorithm for detecting nodes for smoothing with spline functions","volume":"72","author":"Mawatari S.","year":"1989","journal-title":"Trans. (D\u2010II), I.E.I.C.E., Japan"},{"key":"e_1_2_1_8_2","unstructured":"S.Mawatari M.Takashi andY.Toyoda. A study of shape preserving smoothing of striped pattern by spline function. Proc. Spring Meeting Japan Soc. Man. pp.37\u201338(May1988)."},{"key":"e_1_2_1_9_2","unstructured":"S.Mawatari M.Takashi andY.Toyoda.A study of shape preserving approximation of multidimensional data. Proc. Spring Meeting Japan Soc. Man. pp.39\u201340(May1988)."},{"key":"e_1_2_1_10_2","unstructured":"F.YanoandY.Toyoda.A study of smoothing and noise elimination of biological signal waveform. Proc. Spring Meeting Japan Soc. Man. pp.71\u201372(Nov.1988)."}],"container-title":["Systems and Computers in Japan"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fscj.4690220408","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/scj.4690220408","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T02:36:35Z","timestamp":1698028595000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/scj.4690220408"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1991,1]]},"references-count":9,"journal-issue":{"issue":"4","published-print":{"date-parts":[[1991,1]]}},"alternative-id":["10.1002\/scj.4690220408"],"URL":"https:\/\/doi.org\/10.1002\/scj.4690220408","archive":["Portico"],"relation":{},"ISSN":["0882-1666","1520-684X"],"issn-type":[{"value":"0882-1666","type":"print"},{"value":"1520-684X","type":"electronic"}],"subject":[],"published":{"date-parts":[[1991,1]]}}}