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

fYear

2011

fDate

27-30 Sept. 2011

Firstpage

7

Lastpage

10

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Awareness Science and Technology (iCAST), 2011 3rd International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4577-0887-9

Type

conf

DOI

10.1109/ICAwST.2011.6163085

Filename

6163085