A novel class of digital integrators and differentiators is presented.
These first-order filters are very convenient for real-time applicati
ons. Every integrator is expressed as a weighted sum of the classical
rectangular and trapezoidal integrators, with the additional constrain
t of a minimum phase. The corresponding differentiator is obtained by
inverting the transfer function of the integrator. The filter class de
pends on a parameter. Properties of the filters are derived and the fi
lter parameter is determined according to different chosen criteria. T
he capability of these filters to approximate the ideal linear phase i
ntegrator and differentiator with good accuracy and over a large frequ
ency band is shown.