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An Introduction to the Digital Analysis of Stationary Signals: A Computer Illustrated Text directly illustrates the various techniques required to make accurate measurements of the properties of fluctuating signals. Emphasis is on qualitative ideas rather than detailed mathematical analysis for which the computer illustrated text format is ideally suited. The author reinforces normal figures and diagrams with computer-generated graphical displays produced dynamically by the student. This package of text and accompanying software is not specific to any particular microcomputer.
Preface
Acknowledgments
List of Software Packages
Background
Introduction
The software package
Examples of Stationary Signals
Introduction
Simple periodic signals
Almost periodic signals
Random noise
Gaussian random noise
Noisy periodic signals
Correlated noise
Telegraph signal
Software instructions
Quantitative Description of Signal Content
Amplitude-domain statistics
Time-domain statistics
Further statistics
Software instructions
Digital Sampling Criteria: Amplitude-domain Statistics
Introduction
Quantisation and ranging errors
Finite sample size errors
The effects of using correlated samples
Summary and examples
Computer exercises
Digital Sampling Criteria: Time-domain Statistics
Introduction
Aliasing
Autocorrelation estimation
Estimation of the spectral density function
Windowing
Summary and examples
Computer exercises
Sample Laboratory Experiments
Introduction
Typical laboratory sheets
The Simulation of Random Signals
Introduction
Generation of random noise (DAT0N8)
Generation of Gaussian (white) noise (DAT1N8)
Generation of correlated (pink) noise (DAT2N8)
Generation of a second-order process (DAT3N8)
Running the Software
Standard features
Screen dumps
References
Bibliography
Index