SEE-MAY PHOONGLin, Y.-P.Y.-P.Lin2018-09-102018-09-10200210709908http://www.scopus.com/inward/record.url?eid=2-s2.0-0036578916&partnerID=MN8TOARShttp://scholars.lib.ntu.edu.tw/handle/123456789/298431It is well-known that the Karhunen-Loeve transform (KLT) is optimal for white noise suppression. Recently, Akkarakaran and Vaidyanathan showed that for the case of colored noise, if both the noise and signal have a common KLT, then the KLT is optimal for subband noise suppression. In this paper, we will derive the optimal transform (not restricting to the class of unitary transforms) for the noise suppression problem when the signal and noise have arbitrary spectrum.Denoising; Filter bank; Noise suppression; Subband Wiener filter; TransformMathematical transformations; Matrix algebra; Spectrum analysis; Spurious signal noise; Biorthogonal transforms; Signal filtering and predictionjournal article10.1109/LSP.2002.10090072-s2.0-0036578916