Journal ArticleDOI
Statistical Communication and Detection with Special Reference to Digital Data Processing of Radar and Seismic Signals
Ronald B. Tipton,Frank F. Caden +1 more
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This article is published in Technometrics.The article was published on 1968-11-01. It has received 65 citations till now. The article focuses on the topics: Digital image processing & Digital signal processing.read more
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Journal ArticleDOI
SeismicHandler: programmable multichannel data handler for interactive and automatic processing of seismological analyses
TL;DR: SeismicHandler is an analysis program for digital seismograms that operates on various types of data records such as single traces, 3-component records, array seismograms, sets of globally distributed stations of arbitrary sample rates, and record sections of refraction seismograms.
Journal ArticleDOI
A fixed point computation of partial correlation coefficients
J. Le Roux,C. Gueguen +1 more
TL;DR: In this paper, a new computational algorithm for the partial correlation coefficients of a linear system given the covariance of its output when excited by a white input noise was proposed. But the proposed algorithm does not make use of the usual parameters in the linear prediction recursion.
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On autocorrelation equations as applied to speech analysis
J. Markel,A. Gray +1 more
TL;DR: In this article, the mathematical theory underlying one of the techniques currently being used in linear prediction of speech is developed from an inner product formulation, which produces a unified framework for studying the properties of autocorrelation equations.
Journal ArticleDOI
Multitransient electromagnetic demonstration survey in France
TL;DR: In this paper, a multransient electromagnetic MTEM single-line survey was conducted over an underground gas storage reservoir in southwestern France, where the objective was to find a resistor corresponding to known gas about 500 m below the survey line.
Journal ArticleDOI
A New Algorithm for Optimal Filtering of Discrete-Time Stationary Processes
TL;DR: In this paper, an algorithm for computing the gain matrices of the Kalman filter is presented, which does not involve the usual Riccati-type equation, and the number of nonlinear equations to be solved in each step is of order k rather than $k^2$ as by the usual procedure.