Abstract
A wavelet multi-resolution technique has been applied to analysing the temperature data simultaneously obtained by a rake of 16 cold-wires in the turbulent near-wake of a circular cylinder. The fluctuating temperature is decomposed into a number of wavelet components based on their characteristic or central frequencies using the wavelet multi-resolution technique. The flow structure is examined in terms of temperature contours and variance of each wavelet component.
