This monograph contains a number of problems with signal detection theory, presenting a generalized observation model for signal detection problems. The model includes several interesting and common special cases, such as those describing additive noise, multiplicative noise and signal-dependent noise.
Advanced Theory of Signal Detection is a rigorous and well-structured monograph that addresses weak signal detection within a generalized observation framework. The authors succeed in presenting a unified model that encompasses several important and widely encountered cases, including additive, multiplicative, and signal-dependent noise.
One of the book’s strengths lies in its problem-oriented approach, which encourages deep engagement with the theory rather than passive reading. The mathematical treatment is thorough and clearly aimed at graduate students, researchers, and practitioners with a solid background in statistical signal processing.
The generalized observation model provides valuable insight into how classical detection problems can be extended and adapted to more complex, real-world scenarios. This makes the book particularly useful for readers working in advanced communications, radar, and sensing applications.
Overall, this is a strong and serious contribution to the signal detection literature, best suited for readers seeking depth, formalism, and a comprehensive theoretical foundation.