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Signal processing fundamentals and applications for communications and sensing systems / John Minkoff.

By: Material type: TextTextSeries: Artech House signal processing libraryPublication details: Boston : Artech House, ©2002.Description: 1 online resource (xiii, 308 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 1580535674
  • 9781580535670
  • 9781580533607
  • 1580533604
Subject(s): Additional physical formats: Print version:: Signal processing fundamentals and applications for communications and sensing systems.DDC classification:
  • 621.382/2 21
LOC classification:
  • TK5102.9 .M56 2002eb
Online resources:
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.
Abstract: 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 radio-frequency signals in noise. It covers digital filtering and parameter estimation, and helps you with problems associated with radar system design, including search, tracking and measurement ambiguity. Publisher abstract.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Technology Available
Total holds: 0

Includes bibliographical references (pages 293-295) and index.

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.

Print version record.

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 radio-frequency signals in noise. It covers digital filtering and parameter estimation, and helps you with problems associated with radar system design, including search, tracking and measurement ambiguity. Publisher abstract.

Added to collection customer.56279.3

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