Digital Filter Algorithm Based on Whistle Sound Suppression System Design

Author

Liu, Lei ; Li, Honggang ; Hu, Xiaochen

Author_Institution

Coll. of Inf. & Sci., HeBei Univ. of Sci. & Technol., Shijiazhuang, China

fYear

2012

fDate

11-13 Aug. 2012

Firstpage

1559

Lastpage

1562

Abstract

System uses the voice codec chip analog voice signals TLV320AIC23 A/D conversion, digital audio is passed to the DSP chip TMS320VC5409 sequence processing, DSP algorithms using FFT and CZT transform algorithm the number of sequences of audio spectrum analysis, found that whistle frequency. IIR filter is filtering to produce the frequency of the whistle. Finally the number of sequences then filtered through voice codec chip TLV320AIC23 for D/A conversion, analog audio signals reduced to achieve the howling suppression purposes.

Keywords

IIR filters; acoustic signal processing; analogue-digital conversion; audio coding; digital signal processing chips; fast Fourier transforms; spectral analysis; speech codecs; CZT algorithm; DSP algorithms; DSP chip; FFT algorithm; IIR filter; TLV320AIC23 A/D conversion; TMS320VC5409 sequence processing; analog audio signals; analog voice signals; audio spectrum analysis; digital audio; digital filter algorithm; voice codec chip; whistle sound suppression system design; Algorithm design and analysis; Digital signal processing; Educational institutions; IIR filters; Instruction sets; Signal processing algorithms; Transforms; Acoustic feedback; CZT transform; FFT transform; IIR filter; TMS320VC5409;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Service System (CSSS), 2012 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-0721-5

Type

conf

DOI

10.1109/CSSS.2012.390

Filename

6394629