Memisahkan Data Dari White Noise menggunakan Wavelet Shringkage

Sukmana, Agus

dc.contributor.author	Sukmana, Agus
dc.date.accessioned	2017-06-15T02:05:55Z
dc.date.available	2017-06-15T02:05:55Z
dc.date.issued	2001
dc.identifier.uri	http://hdl.handle.net/123456789/2331
dc.description	JURNAL PENELITIAN UNPAR; No.10 JANUARI 2001	en_US
dc.description.abstract	This paper deals with a methodfor cleaning up time series data contaminated with the white noise by using wavelet shrinkage. First, data are transformeded to the wavelet domain then data are discriminated using soft-thresholding to the wavelet coeficienfs to .get wavelet shrinkage coeficients. These wavelet shrinkage coefficients are retransform to the time domain and the resuli is expected to be free of the white noise. We conducted some experiments [using 2 sets of data] and the results were satisfactory.	en_US
dc.publisher	Lembaga Penelitian Universitas Katolik Parahyangan	en_US
dc.relation.ispartofseries	JURNAL PENELITIAN UNPAR; No.10 JANUARI 2001
dc.title	Memisahkan Data Dari White Noise menggunakan Wavelet Shringkage	en_US
dc.type	Journal Articles	en_US