Our understanding of nature is often through nonuniform observations in
space or time. In space, one normally observes the important features of
an object, such as edges. The less important features are interpolated.
History is a collection of important events that are nonuniformly spaced
in time. Historians infer between events (interpolation) and politicians
and stock market analysts forecast the future from past and present
events (extrapolation). The 20 chapters of Nonuniform Sampling: Theory
and Practice contain contributions by leading researchers in nonuniform
and Shannon sampling, zero crossing, and interpolation theory. Its
practical applications include NMR, seismology, speech and image coding,
modulation and coding, optimal content, array processing, and digital
filter design. It has a tutorial outlook for practising engineers and
advanced students in science, engineering, and mathematics. It is also a
useful reference for scientists and engineers working in the areas of
medical imaging, geophysics, astronomy, biomedical engineering, computer
graphics, digital filter design, speech and video processing, and phased
array radar.