Detection and classification arise in signal processing problems whenever a decision is to
be made among a finite number of hypotheses concerning an observed waveform. Signal …

This new textbook fills the gap between standard signal processing texts, where statistical
frameworks rarely occupy more than a chapter, and highly involved texts that often are more …

Non-Gaussian signals arise in a wide variety of applications, including sonar, digital
communications, seismology, and radio astronomy. In this tutorial overview, a hierarchical …

This book contains a unified treatment of a class of problems of signal detection theory. This
is the detection of signals in addi tive noise which is not required to have Gaussian …

The statistical signal processing developments described in this paper are important to
engineers working in many areas of communications because non-Gaussian signals are …

Statistical Theory of Signal Detection, Second Edition provides an elementary introduction to
the theory of statistical testing of hypotheses that is related to the detection of signals in radar …

The Second Edition is an updated revision to the authors highly successful and widely used
introduction to the principles and application of the statistical theory of signal detection. This …

MANY signals have a stochastic structure or at least some stochastic component. Some of
these signals are a nuisance: noise gets in the way of receiving weak communication …

The statistical signal processing developments described in this [book][112] are important to
engineers working in many areas of communications because non-Gaussian signals are …

Using simplified notation and a practical approach, Detection Theory: Applications and
Digital Signal Processing introduces the principles of detection theory, the necessary …