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Signal Adaptive Systems Used in Analysis and Estimation of Nonstationary 1D Signals: Principles of Functioning and Designing

Signal adaptive systems used in time-frequency (TF) signal analysis take different (only necessary, i.e. signal adaptive) number of clock cycles within the execution in different TF points. As a consequence, these systems summarize desirable characteristics of the corresponding competitive designs (multiple-clock-cycle ones and parallel ones), or improve them (their execution time characteristic), but also provide very efficient analysis and estimation of highly nonstationary signals. Here, we analyze principles of functioning and designing of these systems by considering advanced fully pipelined signal adaptive optimal TF filter. Control of the execution is additionally upgraded here to manage the execution in extreme TF points.