dc.contributor.authorYu, Renjunen_US
dc.date.accessioned2008-09-17T09:04:06Z
dc.date.accessioned2017-07-23T08:28:25Z
dc.date.available2008-09-17T09:04:06Z
dc.date.available2017-07-23T08:28:25Z
dc.date.copyright2007en_US
dc.date.issued2007
dc.identifier.citationYu, R. J. (2007). Biological signal processing based on time-frequency distribution analysis. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/2495
dc.description.abstractThe main objective here is to use the time-frequency techniques for the analysis of biomolecular sequences. The mathematical definitions of Cohen's class time-frequency distributions (CTFDs) are firstly reviewed. Some other useful time-frequency distributions (TFDs), such as the Short-time Fourier Transform (STFT), the wavelet transform (WT), the Choi-Williams Distribution (CWVD), the Wigner-Ville Distribution (WVD), the Smoothed Pseudo Wigner-Ville Distribution (SPWVD) and the Reassigned Smoothed Pseudo Wigner-Ville Distribution (RSPWVD), are introduced. Their performance in revealing the information of different types of signals and computational cost are evaluated. Among them the reassigned and smoothed TFDs (RSTFDs), such as the RSPWVD, can achieve a very satisfying compromise between the sharpness and the ‘cleanness’ (noise removal) measures of spectrum.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity
dc.subjectDRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
dc.titleBiological signal processing based on time-frequency distribution analysisen_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.contributor.supervisorTan, Eng Chongen_US
dc.description.degreeDOCTOR OF PHILOSOPHY (SCE)en_US


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