Applied time series analysis II: proceedings of the Second Applied Time Series Symposium held in Tulsa, Oklahoma, March 3-5, 1980, Volume 2
David F. Findley, University of Tulsa, Institute of Electrical and Electronics Engineers. Tulsa Section
Academic Press, 1981 - Mathematics - 798 pages
The step from one to higher dimensional signal processing - case histories; High resolution 2 - dimensional power spectral estimation; Time series analysis of geophysical inverse scattering problems; On the use of the fourier transforms to image seismic reflection data; Estimating the earth's impedence function when there is noise in the electric and magnetic signals; Nearest neighbor rule classification of stationary and nonstationary time series; Time Domain considerations in optimal estimation for bandlimited signals; Lattice methods in spectral estimation; Geometrical and lattice version of levinson's general algorithm; Order selection for lowpass IIR filters; Application of S-Arrays to seasonal data; Time series model identification and prediction variance horizons; Recursive estimation and adaptive forecasting in ARIMA models with time varying coefficients; A time series case study from biology: some interplay between theory and practice; On TIMSAC-78.
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High Resolution 2Dimensional Power Spectral Estimation
Time Series Analysis of Geophysical Inverse Scattering
On the Use of the Fourier Transforms to Image Seismic
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algorithm amplitude anesthesia level applied approximation ARMA model asymptotic autocorrelation bandlimited Box-Jenkins coefficients computed consider constant convolution covariance covariance matrix deconvolution defined denote density diffraction front distribution error example extrapolation factor Figure finite forecasts Fourier transform frequency Gaussian Geophysics given Hilbert transformation IEEE IEEE Trans Image inverse labeled sample lattice least-squares linear M-estimate magnetotelluric matrix Maximum Entropy maximum likelihood method midpoint migration minimal minimal realization minimum minimum phase multidimensional nonstationary normalized baseline classification observations obtained outlier parameters phase plane polynomial population screening problem prediction procedure properties random variables recursive filter regression residuals robust S-array sample time series seismic sequence Series Analysis solution source and receiver Spectral Analysis spectral estimation spectrum stability stationary time series statistical surface Theorem Theory tion transfer function Two-Dimensional unit circle values variance vector velocity wave equation wavefront white noise Z-transform zero