Implemented Wavelet Packet Tree based Denoising Algorithm in Bus Signals of a Wearable Sensorarray

12th European Workshop on Advanced Control and Diagnosis

Schimmack, M.^1 ; Nguyen, S.^1 ; Mercorelli, P.^1

Institute of Product and Process Innovation, Leuphana University of Lueneburg, Volgershall 1, Lueneburg

D-21339, Germany^1

关键词: De-noising algorithm;    Low and high frequencies;    Measured signals;    Stanford University;    Wavelet algorithms;    Wavelet Packet;    Wavelet packet transforms;    Wavelet transformations;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/659/1/012021/pdf
DOI  :  10.1088/1742-6596/659/1/012021

来源: IOP

【 摘 要 】

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.