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This book offers an intuitive yet mathematically rigorous introduction to the theory of digital communication from first principles. It emphasizes a geometric view of signal spaces, covering fundamentals such as inner products, sampling theorem, representation of passband signals, matched filters, and spectral-efficiency optimality of modulation schemes like QAM. Later chapters address stochastic processes, noise, hypothesis testing, detection in white Gaussian noise, and coding theory — making it well-suited for graduate-level courses in digital communications and signal detection theory.

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245: $a: A Foundation in Digital Communication
245: $b:
082: $a:
100: $a: Amos Lapidoth
650: $a: Digital communications
250: $a:
440: $v:
250: $b: Cambridge University Press
250: $c: 2009
020: $a: 13: 978-0-521-19395-5
300: $a: 750