Implemented Wavelet Packet Tree based Denoising Algorithm in Bus Signals of a Wearable Sensorarray
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In: Journal of Physics: Conference Series, Vol. 659, No. 1, 012021, 19.11.2015.
Research output: Journal contributions › Conference article in journal › Research › peer-review
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TY - JOUR
T1 - Implemented Wavelet Packet Tree based Denoising Algorithm in Bus Signals of a Wearable Sensorarray
AU - Schimmack, Manuel
AU - Nguyen, Susi
AU - Mercorelli, Paolo
N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.
PY - 2015/11/19
Y1 - 2015/11/19
N2 - This paper introduces a thermosensing embedded system with a sensor bus that uses wavelets for the purposes of noise location and denoising. From the principle of the filter bank the measured signal is separated in two bands, low and high frequency. The proposed algorithm identifies the defined noise in these two bands. With the Wavelet Packet Transform as a method of Discrete Wavelet Transform, it is able to decompose and reconstruct bus input signals of a sensor network. Using a seminorm, the noise of a sequence can be detected and located, so that the wavelet basis can be rearranged. This particularly allows for elimination of any incoherent parts that make up unavoidable measuring noise of bus signals. The proposed method was built based on wavelet algorithms from the WaveLab 850 library of the Stanford University (USA). This work gives an insight to the workings of Wavelet Transformation.
AB - This paper introduces a thermosensing embedded system with a sensor bus that uses wavelets for the purposes of noise location and denoising. From the principle of the filter bank the measured signal is separated in two bands, low and high frequency. The proposed algorithm identifies the defined noise in these two bands. With the Wavelet Packet Transform as a method of Discrete Wavelet Transform, it is able to decompose and reconstruct bus input signals of a sensor network. Using a seminorm, the noise of a sequence can be detected and located, so that the wavelet basis can be rearranged. This particularly allows for elimination of any incoherent parts that make up unavoidable measuring noise of bus signals. The proposed method was built based on wavelet algorithms from the WaveLab 850 library of the Stanford University (USA). This work gives an insight to the workings of Wavelet Transformation.
KW - Engineering
UR - http://iopscience.iop.org/article/10.1088/1742-6596/659/1/012021
UR - http://www.scopus.com/inward/record.url?scp=84959059222&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/659/1/012021
DO - 10.1088/1742-6596/659/1/012021
M3 - Conference article in journal
VL - 659
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 012021
ER -