Open AccessWavelet Transforms Applications and Interpretation Based on the Signal Genesis
Author(s) -
Dr.S. Ananthi,
Dr Arun Ananthanarayanan,
Sivakannan Subramani,
Mr.Prahanth
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1006.1091s19
Subject(s) - wavelet , harmonic wavelet transform , signal (programming language) , wavelet transform , constant q transform , discrete wavelet transform , second generation wavelet transform , computer science , fourier transform , wavelet packet decomposition , algorithm , mathematics , pattern recognition (psychology) , acoustics , artificial intelligence , physics , mathematical analysis , programming language
A signal from any measurement system provides insight into its genesis, thereby enabling an understanding of a certain activity or phenomenon. Seismic signals, radar echo signals, physiological signals, signals from specially fabricated instruments such as MRI, CT scanner all provide information by using an analysis that resolves the signal into its frequency components. While the Fourier transform and its fast – evaluating algorithm known as FFT are standard for such analysis, there are presently additional signal transforms in use, of which “ Wavelets” or Wavelet transform or wavelet decomposition are becoming very important. If the Fourier transform resolved the signal into its spectral components of Sine and Cosine waves, the Wavelets do the same in terms of non- sinusoidal oscillatory wave-shapes of burst – like appearance. This paper deals with the choice of wavelet transforms based on signal genesis and the interpretation required from the analysis of the signal, that one is expected to infer.