Analog signals are usually signals defined
over continuous independent variable(s). Speech is produced by your
vocal cords exciting acoustic resonances in your vocal tract.
The result is pressure waves propagating in the air, and the
speech signal thus corresponds to a function having independent
variables of space and time and a value corresponding to air
pressure:
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Photographs are static, and are continuous-valued signals defined over space. Black-and-white images have only one value at each point in space, which amounts to its optical reflection properties. In Figure 2, an image is shown, demonstrating that it (and all other images as well) are functions of two independent spatial variables.
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Color images have values that express how reflectivity depends
on the optical spectrum. Painters long ago found that mixing
together combinations of the so-called primary
colors--red, yellow and blue--can produce very
realistic color images. Thus, images today are usually thought
of as having three values at every point in space, but a
different set of colors is used: How much of red,
green and blue is present. Mathematically,
color pictures are
multivalued--vector-valued--signals:
Interesting cases abound where the analog signal depends not on a continuous variable, such as time, but on a discrete variable. For example, temperature readings taken every hour have continuous--analog--values, but the signal's independent variable is (essentially) the integers.




