Classical signal processing techniques are based primarily on the
analog nature of all signals. However, the continuously improving
performance of digital circuitry and processors has prompted a
switch to digital signal processing techniques rather than the
traditional analog ones.
Applied Signal Processing recognizes the linkage between the two
paradigms and presents a unified treatment of both subjects (analog
and digital signal processing) in one authoritative volume. It
introduces underlying principles, basic concepts, and definitions
as well as classic and contemporary designs of signal processing
systems. The author includes a detailed description of data
converters, an interface between the real world of analog signals
and the artificial world of digital signals. He provides a concise
presentation of topics by limiting the number of complex equations
and using lucid language. Numerous real-world application examples
are featured within each chapter including architectures from Texas
Instruments, Motorola, and Analog Devices.
With its compounded coverage of both analog and digital signal
processing techniques, this book provides engineers with the
knowledge they need to understand the analog basis of modern
digital signal processing techniques and construct architectures
for modern systems.
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