Signal processing fundamentals and applications for communications and sensing systems

Signal processing fundamentals and applications for communications and sensing systems /

This cutting-edge book is a clear and thorough exposition of signal-processing fundamentals for communications and major sensing systems. Based on the author's earlier book in this area, this revised and expanded resource offers you expert guidance in the detection of optical, acoustic and radi...

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Minkoff, John
Format: Electronic eBook
Language:English
Published: Boston : Artech House, 2002
Series:Artech House signal processing library.
Subjects:
Signal processing.
Detectors.
Local Note:ProQuest Ebook Central
Table of Contents:
  • Introduction--Fundamentals of Receivers
  • A Brief History of Sensing Systems, Their Influence on Signal Processing Development and Applications, and Receiver Fundamentals
  • Review of Probability
  • Bernoulli Trials--The Binomial Distribution
  • The Poisson Distribution
  • The Exponential Distribution
  • The Gaussian Distribution
  • The Rayleigh and Rice Distributions
  • Joint Distributions, Conditional Distributions, and Bayes' Theorem
  • Characteristic Functions
  • The Law of Large Numbers
  • The Central Limit Theorem
  • Approximations to the Gaussian Distribution
  • Functions of a Random Variable
  • Review of Noise and Random Processes
  • Introduction--Correlation Functions and Power Spectral Densities
  • Types of Noise
  • Power Spectral Density of Thermal Noise--Nyquist's Theorem
  • Power Spectral Density of Shot Noise
  • Shot Noise and Optical Receivers--The Quantum Limit
  • Noise Statistics--Shot Noise in RF and Optical Systems
  • Noise Figure and Noise Temperature
  • Noise Figure of an Attenuator
  • Applications--Noise Power Measurements, SNR
  • Connections with Statistical Physics
  • Continuous and Discrete-Time Signals
  • The Sampling Theorem and Oversampling
  • Application of the Sampling Theorem to Delay of Discrete-Time Signals
  • The Sampling Theorem for Bandpass Carrier Signals
  • Signal Duration and Bandwidth
  • The Analytic Signal
  • Processing of Continuous and Discrete-Time Signals
  • Detection of Signals in Noise
  • Statistical Decision Theory--The Likelihood Ratio Test.

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