2003•Unpublished venueRequires access

Detection of Gaussian Signals in White Gaussian Noise

Harry L. Van Trees

Open publisher page 1 citations

Abstract

In Chapter 2, the author formulates a quantitative model of the simple binary detection problem in which the received waveform consists of a white Gaussian noise process in one hypothesis and the sum of a Gaussian signal process and the white Gaussian noise process in the other hypothesis.

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What this paper is about

In Chapter 2, the author formulates a quantitative model of the simple binary detection problem in which the received waveform consists of a white Gaussian noise process in one hypothesis and the sum of a Gaussian signal process and the white Gaussian noise process in the other hypothesis.

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OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In Chapter 2, the author formulates a quantitative model of the simple binary detection problem in which the received waveform consists of a white Gaussian noise process in one hypothesis and the sum of a Gaussian signal process and the white Gaussian noise process in the other hypothesis.

Key concepts: Additive white Gaussian noise, White noise, Gaussian noise, Gaussian, Gaussian random field, Binary number, Gaussian process, Noise (video)

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