Modeling and Identification of Hidden Objects in Dynamic Systems using Digital Filters.

Digital filters are used for identification, prediction, and modeling of hidden objects in dynamic systems. These Gaussian filter with power spectrum depth estimation, edge detection the as well constructed 2-D geomagnetic objects. In this paper, digital results obtained by MATLAB software. Magnetometer instrument is to collect aeromagnetic data Aeromagnetic collected from Aswan area Egypt. codes built insert process user graphic interface (UGI). The estimated level system selected via which transform processed time domain frequency domain. Then, figure out shallow deeper levels. Edge boundary implemented obtain either deep Edges clearness systems take smoothing total horizontal derivative (THDR) enhanced (ETHDR) filter. estimation their extension calculated Also, model shown difference types through there magnetic susceptibility.