Detection and estimation theory pdf

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detection and estimation theory pdf

General Detection and Estimation Theory in an Adaptive Context | SpringerLink

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Published 29.12.2018

Intro to Hypothesis Testing in Statistics - Hypothesis Testing Statistics Problems & Examples

Estimation theory

Underwater Acoustics and Signal Processing pp Cite as. This paper has two aspects: one is tutorial in nature and its objective is to present in a concise way the fundamental ideas of detection and estimation theory which are necessary to easily undestand the matter presented in the following part; the second is more a presentation of new material in the field of adaptive detection, and particularly of signal detection in noise with fluctuating power. In 1 was discussed the concept of optimality for an adaptive detection system and particularly its application to the detection of a deterministic signal in spherically invariant noise. In 2 the concept of Noise Alone Reference NAE already used in spatial signal processing was introduced in order to present a geometrical interpretation of the classical matched filter using a phase of estimation. Moreover some adaptive detectors were suggested without effective calculation or simulations concerning their performances.

Moulin and V. Privacy statements Cookie Policy. Academics Learn more about the academics that set us apart. Web Page. Detection and estimation theory, with applications to communication, control, and radar systems; decision-theory concepts and optimum-receiver principles; detection of random signals in noise, coherent and noncoherent detection; parameter estimation, linear and nonlinear estimation, and filtering. Pierre Moulin Venugopal Varadachari Veeravalli. Introduction to detection and estimation theory, with applications to communication, control, and signal processing; decision-theory concepts and optimum-receiver principles; detection of random signals in noise; and parameter estimation, linear and nonlinear estimation, and filtering.

Journal of Statistical Physics. A review.
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Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random component. The parameters describe an underlying physical setting in such a way that their value affects the distribution of the measured data. An estimator attempts to approximate the unknown parameters using the measurements. In estimation theory, two approaches are generally considered. For example, it is desired to estimate the proportion of a population of voters who will vote for a particular candidate. That proportion is the parameter sought; the estimate is based on a small random sample of voters.

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2 COMMENTS

  1. Brandon M. says:

    PDF | Contains reports on theses completed and four research projects. Joint Services Electronics Programs (U. S. Army, U. S. Navy, and U. S.

  2. Verrill C. says:

    ECE 561 - Detection and Estimation Theory

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