Using analytical methods and Monte Carlo simulations, we analyze new s
tatistics designed to detect isolated step-like discontinuities which
are coherent over large areas of cosmic microwave background pixel map
s. Such coherent temperature discontinuities are predicted by the Kais
er-Stebbins effect to form due to long cosmic strings in our present h
orizon. The background of the coherent step-like seed is assumed to be
a scale invariant Gaussian random field which could have been produce
d by a superposition of seeds on smaller scales and/or by inflationary
quantum fluctuations. We find that the proposed statistics can detect
the presence of a coherent discontinuity at a sensitivity level almos
t an order of magnitude better compared to more conventional statistic
s such as skewness or kurtosis. [S0556-2821(98)11720-4].