Can discrete wavelet trasform be used for feature extraction from time series in order to cluster them? Any R code how to do this will be appreciated.
Yes it can.
Any kind of feature extraction is a good idea for clustering. Go ahead, and try some of them.
If you can define a good distance function on your wavelet transformed data, then most distance based clustering algorithms should work for you.