Spectrum sensing deals with several subjects, that range from statistical and probability theory to radio propagation and signal processing, with cognitive radio playing an important role to the evolution and dissemination of new applications in the area. The objective of this book is to connect the basic statistical formulation, the fundamental concepts from signal detection and spectrum sensing, cognitive radio and dynamic spectrum access, leading to an interesting, robust, and illustrative content, with recent practical applications of cognitive radio and spectrum sensing.

This book covers the fundamentals of digital signal processing (DSP) in a concise format, accessible to anyone with a technical background, enabling the reader for further DSP training, research, and development.The authors explore many subjects, including discrete time (digital) signals and systems, with emphasis on linear shift invariant (LSI) systems; Fourier and the z transforms; signal sampling and analog-to-digital (A/D) conversion. The book ends with examples of DSP techniques applications to practical problems from several areas.

Spectrum sensing deals with several subjects, that range from statistical and probability theory to radio propagation and signal processing, with cognitive radio playing an important role to the evolution and dissemination of new applications in the area. The objective of this book is to connect the basic statistical formulation, the fundamental concepts from signal detection and spectrum sensing, cognitive radio and dynamic spectrum access, leading to an interesting, robust, and illustrative content, with recent practical applications of cognitive radio and spectrum sensing.

This book covers the fundamentals of digital signal processing (DSP) in a concise format, accessible to anyone with a technical background, enabling the reader for further DSP training, research, and development.The authors explore many subjects, including discrete time (digital) signals and systems, with emphasis on linear shift invariant (LSI) systems; Fourier and the z transforms; signal sampling and analog-to-digital (A/D) conversion. The book ends with examples of DSP techniques applications to practical problems from several areas.