JOURNAL ARTICLE

De-noising of spectral signal based on stationary wavelet transform

Abstract

In order to effectively alleviate the effect of noise in spectral signal, stationary wavelet is applied to process the spectral signal in this paper. The simulation result of stationary wavelet transform and classic wavelet transform on wheat canoy and rice canoy respectively show that both wavelet are effective in alleviating the effects of noise, while stationary wavelet gets a better SNR and reserves character of signal.

Keywords:
Stationary wavelet transform Wavelet Harmonic wavelet transform Wavelet transform Second-generation wavelet transform Wavelet packet decomposition Discrete wavelet transform Lifting scheme SIGNAL (programming language) Computer science Mathematics Artificial intelligence Pattern recognition (psychology) Speech recognition Algorithm

Metrics

4
Cited By
0.64
FWCI (Field Weighted Citation Impact)
1
Refs
0.77
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Computational Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Sensor and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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