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Non-Gaussian Statistical Communication Theory

✍ Scribed by David Middleton(auth.)

Tongue
English
Leaves
652
Category
Library
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✦ Synopsis

Content:
Chapter 1 Reception as a Statistical Decision Problem (pages 15–76):
Chapter 2 Space–Time Covariances and Wave Number Frequency Spectra: I. Noise and Signals with Continuous and Discrete Sampling (pages 77–140):
Chapter 3 Optimum Detection, Space–Time Matched Filters, and Beam Forming in Gaussian Noise Fields (pages 141–237):
Chapter 4 Multiple Alternative Detection (pages 239–270):
Chapter 5 Bayes Extraction Systems: Signal Estimation and Analysis, p(H1) = 1 (pages 271–306):
Chapter 6 Joint Detection and Estimation, p(H1) ? 11: I. Foundations (pages 307–380):
Chapter 7 Joint Detection and Estimation under Uncertainty, pk(H1) < 1. II. Multiple Hypotheses and Sequential Observations (pages 381–433):
Chapter 8 The Canonical Channel I: Scalar Field Propagation in a Deterministic Medium (pages 435–538):
Chapter 9 The Canonical Channel II: Scattering in Random Media; β€œClassical” Operator Solutions (pages 539–600):

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