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SAMPLING,
ALIASING, and DATA FIDELITY for Electronic
Imaging Systems,Communications, and Data
Acquisition by Gerald C. Holst
This book bridges the gap between sampling
theory, signal appearance, and system performance.
It covers both temporal and spatial sampling
to ensure that a true end-to-end analysis
is considered. While many electrical circuit
designs approximately satisfy the sampling
theorem, most electronic imaging systems
are undersampled and this leads to aliasing.
We cannot see digital data that reside
in a computer memory. All methods to represent
digital data include a reconstruction filter.
The filter selection significantly affects
the appearance of back-of-the-envelope drawings.
The effects of this essential filter are
described in detail.
The system designer will maximize MTFs
for some applications. In other applications,
edge detection and signal width are important.
This book provides both approaches. For
the software specialist, this book provides
the link between digital and analog data.
Software cannot be effective if the sampling
device characteristics and reconstruction
processes are not known.
231 figures, 20 tables, 152 references,
326 + xviii pages
(1998). Copublished by SPIE Press.
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