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Title: Adaptive noise cancellation using soft computing approach
Authors: Li, Zheng Rong
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Issue Date: 2006
Source: Li, Z. R. (2006). Adaptive noise cancellation using soft computing approach. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: Adaptive 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.
Description: 235 p.
DOI: 10.32657/10356/46901
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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