Title :
Dynamic noise reduction algorithm based on time-variety filter
Author :
Chen, Zhe ; Shi, Dan ; Yin, Fuliang
Author_Institution :
Sch. of Inf. & Commun., Dalian Univ. of Technol., Dalian, China
Abstract :
In this paper, a new dynamic noise reduction algorithm is proposed based on time-variety filter (TVF), which can be implemented in both time and modified discrete cosine transform (MDCT) domain. In time domain, an IIR filter with changeable bandwidth is for the TVF. In frequency domain, combined with MDCT transform, the noise is suppressed in MDCT domain. A few experiment results reveal that the algorithm retains the noise-suppressing performance with low delay and algorithm complexity.
Keywords :
IIR filters; discrete cosine transforms; time-frequency analysis; IIR filter; MDCT domain; TVF; dynamic noise reduction algorithm; frequency domain analysis; modified discrete cosine transform domain; noise-suppressing performance; time-domain analysis; time-variety filter; Communication standards; Complexity theory; Computer languages; Data communication; Detectors; Digital multimedia broadcasting; Multiplexing; Dynamic noise reduction; modified discrete cosine transform (MDCT); time-variety filter (TVF); valley value detector;
Conference_Titel :
Awareness Science and Technology (iCAST), 2011 3rd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-0887-9
DOI :
10.1109/ICAwST.2011.6163085
