Seminar on Wavelet Transforms
Signals form a crucial part of today’s would as every step that being taken completely depends on producing, receiving, analyzing & retrieving information from them. Practically all this signal that are produced and received have various frequency components in them which calls for complex analysis methods to squeeze out the information contained. For times bygone, there are several methods being used to study the signals. Transforming them from one domain to other has succeeded in providing a lot more information.
The research then focused on to the methods of transforming the signals to get the best way of information access. The transformation methods can be listed out as fourier transform, laplace transforms, Wigner distribution, Randon process etc. Among these the fourier transform has been more popular. In this tranformation the signal is represented in frequency domain. The spectrum thus obtained could give a good view of the frequency content of the signal. But to explain which frequency components occur at which time instants, the transformation failed.