fractal sums of pulses;
fractal sums of micropulses;
fractional Brownian motion;
Poisson random measure;
self-similarity;
self-affinity;
stationarity of increments;
D O I:
10.1016/0304-4149(95)00046-1
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
We begin with stochastic processes obtained as sums of ''up-and-down'' pulses with random moments of birth tau and random lifetime w determined by a Poisson random measure. When the pulse amplitude epsilon --> 0, while the pulse density delta increases to infinity, one obtains a process of ''fractal sum of micropulses.'' A CLT style argument shows convergence in the sense of finite dimensional distributions to a Gaussian process with negatively correlated increments. In the most interesting case the limit is fractional Brownian motion (FBM), a self-affine process with the scaling constant 0 < H < 1/2. The construction is extended to the multidimensional FBM field as well as to micropulses of more complicated shape.