Abstract:
Fourier transforms initially used for the solution of problems in mathematical physics has today become a
powerful tool of data analysis in wide spectrum of disciplines ranging from electrical engineering to social
sciences. Its widespread applications can be attributed to the development of discrete Fourier transforms in
middle part of the last century and subsequent development of fast Fourier transform algorithms which made
its numerical implementation possible using digital computers. This paper reviews the limitations of the
Fourier transform technique and associated problems and provide suggestions to overcome them.
