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Signals, Systems and Inference (Hardcover)
Loot Price: R2,975
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Signals, Systems and Inference (Hardcover)
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For upper-level undergraduate courses in deterministic and
stochastic signals and system engineering An Integrative Approach
to Signals, Systems and Inference Signals, Systems and Inference is
a comprehensive text that builds on introductory courses in time-
and frequency-domain analysis of signals and systems, and in
probability. Directed primarily to upper-level undergraduates and
beginning graduate students in engineering and applied science
branches, this new textbook pioneers a novel course of study.
Instead of the usual leap from broad introductory subjects to
highly specialized advanced subjects, this engaging and inclusive
text creates a study track for a transitional course. Properties
and representations of deterministic signals and systems are
reviewed and elaborated on, including group delay and the structure
and behavior of state-space models. The text also introduces and
interprets correlation functions and power spectral densities for
describing and processing random signals. Application contexts
include pulse amplitude modulation, observer-based feedback
control, optimum linear filters for minimum mean-square-error
estimation, and matched filtering for signal detection. Model-based
approaches to inference are emphasized, in particular for state
estimation, signal estimation, and signal detection. The text
explores ideas, methods and tools common to numerous fields
involving signals, systems and inference: signal processing,
control, communication, time-series analysis, financial
engineering, biomedicine, and many others. Signals, Systems, and
Inference is a long-awaited and flexible text that can be used for
a rigorous course in a broad range of engineering and applied
science curricula.
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