Dalian Maritime University, China
It is my honor to be the editor-in-chief of IJEETC. The journal publishes good papers which focous on the advanced researches in the field of electrical and electronic engineering & telecommunications.
Abstract—Wavelets are mathematical functions that cut up data into different frequency components, and
then study each component with a resolution matched to its scale. They have advantages over
traditional Fourier methods in analyzing physical situations where the signal contains
discontinuities and sharp spikes. Wavelets were developed independently in the ends of
mathematics, quantum physics, electrical engineering, and seismic geology. Interchanges
between these fields during the last ten years have led to many new wavelet applications such
as image compression, turbulence, human vision, radar, and earthquake prediction. This paper
introduces wavelets to the interested technical person outside of the digital signal processing
field. I describe the history of wavelets beginning with Fourier, compare wavelet transforms with
Fourier transforms, state properties and other special aspects of wavelets, and finish with some
Index Terms—Wavelet, Continuous Wavelet Transformation (CWT), Discrete Wavelet
Cite: Dolley Shukla and Jyoti Sahu, "WAVELETS: BASIC CONCEPTS," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 2, No. 4, pp. 30-36, October 2013.
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