DocumentCode :
3086690
Title :
A novel adaptive filtering for audio signals using artificial hydrocarbon networks
Author :
Ponce, H. ; Ponce, Pedro ; Molina, Arturo
Author_Institution :
Posgrados en Ing., Tecnol. de Monterrey, Mexico City, Mexico
fYear :
2012
fDate :
26-28 Sept. 2012
Firstpage :
1
Lastpage :
6
Abstract :
The present paper introduces a novel adaptive filtering for audio signals corrupted with white noise. The audio filter is based on artificial hydrocarbon networks (AHNs), a novel approach inspired on organic chemistry for stability, well-forming and easy-spanning topologies. In that sense, an AHN-molecular structure adapts its parameters in a specific window to cancel signal noise from original audio sequence using the notion of filtering given by AHN-topologies. Results of the present approach show that artificial hydrocarbon networks can achieve audio filtering for noisy signals. Then, a comparison between AHN-filtering and FIR filtering is presented. In addition, the AHN-filtering is implemented on DSP NI-Speedy 33 hardware.
Keywords :
FIR filters; adaptive filters; audio signal processing; interference suppression; topology; white noise; AHN-filtering; AHN-molecular structure; AHN-topology; DSP NI-Speedy 33 hardware; FIR filtering; adaptive filtering; artificial hydrocarbon network; audio filtering; audio sequence; audio signal; easy-spanning topology; noisy signal; organic chemistry; signal noise cancellation; topology stability; white noise; Adaptive filters; Compounds; Finite impulse response filter; Hydrocarbons; Noise measurement; White noise; Artificial hydrocarbon networks; DSP; audio filtering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering, Computing Science and Automatic Control (CCE), 2012 9th International Conference on
Conference_Location :
Mexico City
Print_ISBN :
978-1-4673-2170-9
Type :
conf
DOI :
10.1109/ICEEE.2012.6421195
Filename :
6421195
Link To Document :
بازگشت