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Probability and Random Variables: Theory and Applications (Hardcover, 1st ed. 2022): Iickho Song, So Ryoung Park, Seokho Yoon Probability and Random Variables: Theory and Applications (Hardcover, 1st ed. 2022)
Iickho Song, So Ryoung Park, Seokho Yoon
R2,692 Discovery Miles 26 920 Ships in 12 - 17 working days

This book discusses diverse concepts and notions - and their applications - concerning probability and random variables at the intermediate to advanced level. It explains basic concepts and results in a clearer and more complete manner than the extant literature. In addition to a range of concepts and notions concerning probability and random variables, the coverage includes a number of key advanced concepts in mathematics. Readers will also find unique results on e.g. the explicit general formula of joint moments and the expected values of nonlinear functions for normal random vectors. In addition, interesting applications of the step and impulse functions in discussions on random vectors are presented. Thanks to a wealth of examples and a total of 330 practice problems of varying difficulty, readers will have the opportunity to significantly expand their knowledge and skills. The book is rounded out by an extensive index, allowing readers to quickly and easily find what they are looking for. Given its scope, the book will appeal to all readers with a basic grasp of probability and random variables who are looking to go one step further. It also offers a valuable reference guide for experienced scholars and professionals, helping them review and refine their expertise.

Advanced Theory of Signal Detection - Weak Signal Detection in Generalized Observations (Hardcover, 2002 ed.): Iickho Song,... Advanced Theory of Signal Detection - Weak Signal Detection in Generalized Observations (Hardcover, 2002 ed.)
Iickho Song, Jinsoo Bae, Sun Yong Kim
R5,393 R4,349 Discovery Miles 43 490 Save R1,044 (19%) Ships in 12 - 17 working days

This book contains a number of problems with signal detection theory. A generalized observation model for signal detection problems, is presented. The model includes several interesting and common special cases such as those describing additive noise, multiplicative noise, and signal-dependent noise. This model can also describe composite signals in addition to the usual known (deterministic) signals and random (stochastic) signals. Locally optimum (LO) and locally optimum rank (LOR) detectors for known and random signals in the model, are discussed, and original results are obtained. Other approaches to detection of signals also are discussed.

Advanced Theory of Signal Detection - Weak Signal Detection in Generalized Observations (Paperback, Softcover reprint of the... Advanced Theory of Signal Detection - Weak Signal Detection in Generalized Observations (Paperback, Softcover reprint of the original 1st ed. 2002)
Iickho Song, Jinsoo Bae, Sun Yong Kim
R4,261 Discovery Miles 42 610 Ships in 10 - 15 working days

This monograph contains a number of problems with signal detection theory, presenting a generalized observation model for signal detection problems. The model includes several interesting and common special cases, such as those describing additive noise, multiplicative noise and signal-dependent noise.

Probability and Random Variables: Theory and Applications (1st ed. 2022): Iickho Song, So Ryoung Park, Seokho Yoon Probability and Random Variables: Theory and Applications (1st ed. 2022)
Iickho Song, So Ryoung Park, Seokho Yoon
R2,131 Discovery Miles 21 310 Ships in 10 - 15 working days

This book discusses diverse concepts and notions – and their applications – concerning probability and random variables at the intermediate to advanced level. It explains basic concepts and results in a clearer and more complete manner than the extant literature. In addition to a range of concepts and notions concerning probability and random variables, the coverage includes a number of key advanced concepts in mathematics. Readers will also find unique results on e.g. the explicit general formula of joint moments and the expected values of nonlinear functions for normal random vectors. In addition, interesting applications of the step and impulse functions in discussions on random vectors are presented. Thanks to a wealth of examples and a total of 330 practice problems of varying difficulty, readers will have the opportunity to significantly expand their knowledge and skills. The book is rounded out by an extensive index, allowing readers to quickly and easily find what they are looking for. Given its scope, the book will appeal to all readers with a basic grasp of probability and random variables who are looking to go one step further. It also offers a valuable reference guide for experienced scholars and professionals, helping them review and refine their expertise.

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