An Introduction To Signal Detection And Estimation Vincent Poor Pdf

an introduction to signal detection and estimation vincent poor pdf

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Estimation theory

The purpose of this book is to introduce the reader to the basic theory of signal detection and estimation. This material is covered, for example, in the book by Wong in this series. More advanced concepts in these areas are introduced where needed, primarily in Chapters VI and VII, where continuous-time problems are treated. This book is adapted from a one-semester, second-tier graduate course taught at the University of Illinois. However, this material can also be used for a shorter or first-tier course by restricting coverage to Chapters I through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for exam pIe in the book by Thomas , also in this series.

An introduction to signal detection and estimation 1988

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. Alternatively, it is desired to estimate the probability of a voter voting for a particular candidate, based on some demographic features, such as age.


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An introduction to signal detection and estimation 1988

Vincent Poor. The course syllabus pdf format including expected course outcomes, grading information, and late policies. There will be 10 homework assignments in ECE, each worth 20 points. The lowest two scores will not be counted.

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It seems that you're in Germany. We have a dedicated site for Germany. The purpose of this book is to introduce the reader to the basic theory of signal detection and estimation. It is assumed that the reader has a working knowledge of applied probability and random processes such as that taught in a typical first-semester graduate engineering course on these subjects. This material is covered, for example, in the book by Wong in this series.

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Front Matter Pages i-x PDF · Introduction H. Vincent Poor · Elements of Hypothesis Testing H. Vincent Poor · Signal Detection in Discrete Time H. Vincent Poor.

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