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Efficient FPGA Implementation of an Adaptive Noise Canceller
Palermo, Italy July 04-July 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CAMP.2005.22Seventh International Workshop on Com ...
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Antonio Di Stefano, Alessandro Scaglione, Costantino Giaconia, "Efficient FPGA Implementation of an Adaptive Noise Canceller," Computer Architectures for Machine Perception, International Workshop on, pp. 87-89, Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05), 2005.
 
 
BibTex
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@article{ 10.1109/CAMP.2005.22,
author = {Antonio Di Stefano and Alessandro Scaglione and Costantino Giaconia},
title = {Efficient FPGA Implementation of an Adaptive Noise Canceller},
journal ={Computer Architectures for Machine Perception, International Workshop on},
volume = {0},
year = {2005},
isbn = {0-7695-2255-6},
pages = {87-89},
doi = {http://doi.ieeecomputersociety.org/10.1109/CAMP.2005.22},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Architectures for Machine Perception, International Workshop on
TI - Efficient FPGA Implementation of an Adaptive Noise Canceller
SN - 0-7695-2255-6
SP87
EP89
A1 - Antonio Di Stefano,
A1 - Alessandro Scaglione,
A1 - Costantino Giaconia,
PY - 2005
KW - null
VL - 0
JA - Computer Architectures for Machine Perception, International Workshop on
ER -
 
Antonio Di Stefano, Universit? di Palermo
Alessandro Scaglione, Universit? di Palermo
Costantino Giaconia, Universit? di Palermo
A hardware implementation of an Adaptive Noise Canceller (ANC) is presented. It has been synthesized within an FPGA, using a modified version of the Least Mean Square (LMS) error algorithm. The results obtained so far show a significant decrease of the required gate count when compared with a standard LMS implementation, while increasing the ANC bandwidth and signal to noise (S/N) ratio. This novel Adaptive Noise Canceller is then useful for enhancing the S/N ratio of data collected from sensors (or sensor arrays) working in noisy environment, or dealing with potentially weak signals.
Citation:
Antonio Di Stefano, Alessandro Scaglione, Costantino Giaconia, "Efficient FPGA Implementation of an Adaptive Noise Canceller," camp, pp.87-89, Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05), 2005
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