Heisenberg Uncertainly Principle and wavelet transform

I am using CMOR(complex morlet) wavelet in Fourier space in order to reconstruct my signal and also estimate damping and frequencies of the embedded modes. there are two main parameters in cmor. the Fb and Fc. bandwidth and center frequency, with increasing the Fb i get better result for frequency estimation, but i cant get a good damping estimation with high Fb. is it sth to do with Heisenberg Uncertainly Principle? and if yes, would you explain the role of fb and fc in the accuracy of frequency and damping estimations? The wavelet transforms provide a unified framework for getting around the Heisenberg Uncertainly Principle.