This text provides a thorough explanation of the underlying principles of spectral analysis and the full range of estimation techniques used in engineering. The

Introduction and background; Probability functions and amplitude measures; Correlation and spectral density functions; Single input/single output relationships;

The Spectral Analysis of Time Series describes the techniques and theory of the frequency domain analysis of time series. The book discusses the physical proces

Spectral estimation is important in many fields including astronomy, meteorology, seismology, communications, economics, speech analysis, medical imaging, radar