The problem of separating two or more uncorrelated signals from equally many observed mixtures is considered in this thesis. The observed signals are modeled as a sum of original signals ltered through linear lters. Various kinds of mixing lters are considered: Finite Impulse Response (FIR) and Auto Regressive Moving Average (ARMA), causal and non-causal, one and two-dimensional. A separation s...

In this thesis we develop several approaches to the problem of blind channel equalization based on second-order statistics (808). We consider the single-input singleoutput (8180) system with minimum phase channel where the received signal is sampled at the symbol rate (T-spaced equalizer). We formulate the equalizer design criterion as a simple convex optimization problem, where the equalizer c...

New features are proposed for sea clutter characterization when PolSAR data employed. Cameron coherent target decomposition is applied to characterize each SAR pixel by means of the 8 basic elementary scatterers obtained this decomposition. Since examined does not match exactly a specific ideal scatterer, closest scatterer assigned along with its distance (closeness) from one. The (a) percentag...