The Fast Fourier Transform Applied To
Estimate Wave Energy Spectral Density In
Random Sea State
Author(s)
M. Rahman, D. Riordan, A. Susilo & S. H. Mousavizadegan
Abstract
This paper deals with an important area of real life problems. It is concerned
with the application of the fast Fourier transform to estimate wave energy spectral
density in a random sea state. Graphical illustrations are manifested in a clear and
distinct manner. The fast Fourier transform is a mathematical procedure which can
be thought of as transforming a function from the time domain to the frequency
domain. The application of a Fourier transform is analogous to the splitting up
of a light beam by a prism to form the optical spectrum of the light source. An
optical spectrum consists of lines or beams of colors corresponding to the various
wavelengths and hence different frequencies of light wave emitted by the source.
The spectrum of a signal in digital signal processing refers to the way energy in
the signal is distributed over its various frequency components.
Keywords: Discrete Fourier transforms, fast Fourier transforms, spectrum,
frequency, wavelength, energy density, random sea state.
1 Introduction
This paper brings some ideas and concepts in the way the Fourier transform plays
a vital role in our daily life.We investigate here from theoretical and mathematical
view points an important topic called the fast Fourier transform (FFT). The fast
Fourier transform is a mathematical algorithm which is an extremely important and
widely used method that is used to extract information from sampled signals. In
Keywords
Discrete Fourier transforms, fast Fourier transforms, spectrum,
frequency, wavelength, energy density, random sea state
Related Book
Other papers in this volume
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