DocumentCode
1826948
Title
FPGA implementation of an adaptive noise canceller with low signal distortion
Author
Subramaniam, Vijay K. ; Reddy, Visshwanth M. ; Rao, Sathyanarayana S.
Author_Institution
Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA
Volume
2
fYear
1999
fDate
24-27 Oct. 1999
Firstpage
1396
Abstract
The architecture of an adaptive noise canceller (ANC) with low signal distortion for implementation on a FPGA is discussed. The proposed ANC reduces the reverberation effect in the processed speech, by using an adaptive step size algorithm. It consists of two adaptive filters: a main filter (MF) and a sub-filter (SF). The step size for the main filter is adjusted based on the estimated input SNR by the sub filter. This paper addresses the selection of design parameters and trade-offs´ involved in real time implementation of the ANC on the FPGA obtained by Matlab simulations.
Keywords
adaptive filters; adaptive signal processing; digital filters; digital simulation; field programmable gate arrays; filtering theory; noise; reverberation; speech processing; ANC architecture; FPGA implementation; Matlab simulations; adaptive filters; adaptive noise canceller; adaptive step size algorithm; design parameters selection; estimated input SNR; low signal distortion; main filter; real time implementation; reverberation effect; speech processing; sub-filter; Additive noise; Convergence; Distortion; Field programmable gate arrays; Filters; Noise cancellation; Resonance light scattering; Reverberation; Signal to noise ratio; Speech processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-5700-0
Type
conf
DOI
10.1109/ACSSC.1999.831935
Filename
831935
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