Title :
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
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;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.390
