ON RELATIONSHIPS BETWEEN DETECTION AND ESTIMATION THEORY.
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, Journal Article
Hodgkiss, WS; Nolte, LW
January 1, 1978
This paper takes a global approach to the processing of information. The viewpoint is Bayesian where any uncertain parameters are modeled as random variables and knowledge about them is summarized by a priori probability density functions. The processors discussed must decide if the random processes observed consist of a signal obscured by noise or noise alone. The resulting detectors are optimum in the sense of making a least risk decision. The general form of the likelihood ratio is derived. Research results from the area of array processing are presented.
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Hodgkiss, W. S., & Nolte, L. W. (1978). ON RELATIONSHIPS BETWEEN DETECTION AND ESTIMATION THEORY., 133–165. https://doi.org/10.1007/978-94-009-9941-1_7
Hodgkiss, W. S., and L. W. Nolte. “ON RELATIONSHIPS BETWEEN DETECTION AND ESTIMATION THEORY.,” January 1, 1978, 133–65. https://doi.org/10.1007/978-94-009-9941-1_7.
Hodgkiss WS, Nolte LW. ON RELATIONSHIPS BETWEEN DETECTION AND ESTIMATION THEORY. 1978 Jan 1;133–65.
Hodgkiss, W. S., and L. W. Nolte. ON RELATIONSHIPS BETWEEN DETECTION AND ESTIMATION THEORY. Jan. 1978, pp. 133–65. Scopus, doi:10.1007/978-94-009-9941-1_7.
Hodgkiss WS, Nolte LW. ON RELATIONSHIPS BETWEEN DETECTION AND ESTIMATION THEORY. 1978 Jan 1;133–165.