1. Deterministic signal modeling and representation
We generally distinguish two areas of signal processing: the analog world, which concerns "physical" signals, and the digital world, which concerns signals stored on computers (or other digital media, such as CDs or DVDs). The problems of processing these two classes of signals are faced with specific constraints. However, most of the approaches developed in one framework can be used in the other, as we shall see in this section, limiting ourselves first to the deterministic framework.
The first problem facing the "signal processor" is that of signal representation. A signal can be seen abstractly as an information carrier, which can be represented in various ways. These representations are mathematically equivalent, but may be more or less suited to a particular processing task. Let's take the example of a signal describing a measurement as a function of time....
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Deterministic signal modeling and representation
Bibliography
Software tools
Peter Söndergaard. Ltfat, the linear time-frequency analysis toolbox (matlab/octave, freeware), 2009
The Mathworks. Matlab, 2009
Multiple authors. Mathtools.net,...
Websites
Rice University DSP group. Compressed sensing resources, 2009
http://www.dsp.ece.rice.edu/cs
Thomas Ströhmer. A first guided tour on the irregular sampling problem, 2000
http://www.math.ucdavis.edu/~strohmer/research/sampling/irsampl.html
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