Proposed solutions to attenuate coherent noise

Any dataset may be regarded as the sum of signal and noise

$${\bf d} ={\bf s}+{\bf n}.$$

I assume that the coherent noise n is made of the inconsistent part (or modeling uncertainties part) of the data d for any given operator H. My goal is to define new strategies that would lower the influence of the noise n, giving IID residual components.