WAVELET TRANSFORMS
ABSTRACT
Practically all signals are non-stationary and are encountered with the problem of providing better time and frequency resolutions due to Heisenberg’s uncertainty principle. This paper focuses on Wavelet Transform techniques, which are only a decade old and are providing better resolutions and time-frequency representation of the signals which the old Fourier Transform and revised Short Term Fourier Transform failed. This paper discusses the drawbacks of FT and STFT and how the Wavelet Transforms has overcome them, along with the vast fields of it’s applications.
