dc.contributor.authorLi, Zheng Rong.en_US
dc.date.accessioned2011-12-27T05:43:20Z
dc.date.available2011-12-27T05:43:20Z
dc.date.copyright2006
dc.date.issued2006
dc.identifier.citationLi, Z. R. (2006). Adaptive noise cancellation using soft computing approach. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/46901
dc.description235 p.en_US
dc.description.abstractAdaptive Noise Cancellation (ANC) can be regarded as a variation of optimal filtering and is frequently encountered in many applications such as video conferencing, wireless communications and multimedia signal processing. ANC revolves around using an auxiliary or reference input derived from one or more noise sources which may be in the fields where the signal is weak or undetectable. The fundamental working principle of noise canceler is to utilize the reference input to generate a replica of the additive noise which distorts the information signal, subtracts the replica from the received primary input so as to obtain distortion-free information signal. Therefore, the key issue of ANC is to design a feasible filter (canceler) according to the characteristics of the channel through which the noise source passes.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processingen_US
dc.titleAdaptive noise cancellation using soft computing approach.en_US
dc.typeThesisen_US
dc.contributor.supervisorEr Meng Joo (EEE)en_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeDOCTOR OF PHILOSOPHY (EEE)en_US


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