Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i19/85440
Year: 2016, Volume: 9, Issue: 19, Pages: 1-4
Original Article
V. Suresh1*, S. Koteswarao Rao2 , G. Thiagarajan1 and Rudra Pratap Das1
1Department of ECM, Vignan's Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, India; [email protected], [email protected], [email protected] 2Department of ECE, K L University, Vaddeswaram - 522502, Guntur, Andhra Pradesh, India; [email protected]
*Author for correspondence
V. Suresh
Department of ECM, Vignan's Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, India; [email protected]
Objective: Noise determination is an important part of any signal processing evaluation .It can influence the output and create faults in the system. Wavelet transforms are used for evaluate noise components in signal and imaging processing. Discrete wavelets are more suitable for denoising. Methods/Analysis: In this work it has been proposed to use DWT having their successive procedures such as signal decomposition, threshold of coefficient and signal reconstruction. Discontinuities are also detected by wavelets. Findings: Synthetic signals have been generated using MATLAB simulation. Attempt has been to reduce the noise in various cases using wavelet analysis. Corresponding results of LPF and HPF have been considered. Novelty/Improvement: Further work can be done by extended the procedure to higher number of filtering operations.
Keywords: Denoising, Discontinuities, Discrete Wavelets, High Pass Filter, Lowpass Filter, Wavelet Transforms
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