This paper develops methodology for computer simulation of the effect on an experimental EPR spectrum that would occur ir an additional field modulation were applied followed by eventual phase sensitive detection at the modulation frequency or at one its harmonics. The algo¡ which is called pseudomodulation, transforms the digitized spectrum and also filters the noise. Ir a second harmonic spectrum is desired in order to make subtle changes in curvature more apparent, it is shown that it is always preferable to obtain an expe¡ second harmonic spectrum. The signals are identical, but because of the filtering properties of the pseudomodulation algo¡ the noise is lower. Pseudomodulation should be applied to simulated spectra prior to fitting a model to data in order more precisely to simulate the expe¡ signal. It is argued that such fits ought to involve not only first harmonics but also higher harmonics, since the va¡ harmonics are sensitive in different ways to input parameters in the spin Hamiltonian. Application of pseudomodulation to the EPR spectrum of the blue copper-protein azurin is described.