In this paper, we develop algorithms for calculation of fractal measures and characteristic exponents for modeling of a complex systems evolution represented through digitized chaotic signals. Using temporal localization along phase trajectories of a chaotic attractor reconstructed from nonlinear time series, we achieve the essential reduction of required computer resources that allows the nonlinear analysis algorithms to be realized even for higher-dimensional cases. The numerical simulations confirm reliability of the developed algorithms and its high efficiency.