Time-step selection algorithms: Adaptivity, control, and signal processing

Time-step selection algorithms: Adaptivity, Control, and Signal Processing

The efficiency of numerical time–stepping methods for dynamical systems is greatly enhanced by automatic time step variation. In this paper we present and discuss three different approaches to step size selection: (i) control theory (to keep the error in check); (ii) signal processing (to produce smooth step size sequences and improve computational stability); and (iii) adaptivity, in the sense...

Blind signal processing algorithms

The objective of this survey paper is the presentation of the main aspects associated with blind signal processing. The paper describes some of the most important blind signal processing methodologies and briefly presents the fundamental algorithms used for their implementation.

Sar Signal Processing Algorithms

In space borne SAR systems some form of data compression is required to reduce the bandwidth of the downlink channel. In the present paper we have represented the complex SAR raw data with magnitude-phase (MP) and then applied the devised algorithm. It is observed that the phase information of the compressed data is preserved to the great extent. The quality of the reconstructed data is compare...

Cognitive Algorithms for Signal Processing

......................................................................................................................................................... 1 1. Computational Intelligence, Logic, and the Mind ...................................................................................... 1 2. Neural Modeling Fields ..............................................................................

Discrete Time Signal Processing