For those involved in the design and implementation of signal processing algorithms, this book strikes a balance between highly theoretical expositions and the more practical treatments, covering only those approaches necessary for obtaining an optimal estimator and analyzing its performance. Author Steven M. Kay discusses classical estimation followed by Bayesian estimation, and illustrates the theory with numerous pedagogical and real-world examples."--Cover, volume 1.
For those involved in the design and implementation of signal processing algorithms, this book strikes a balance between highly theoretical expositions and the more practical treatments, covering only those approaches necessary for obtaining an optimal estimator and analyzing its performance. Author Steven M. Kay discusses classical estimation followed by Bayesian estimation, and illustrates the theory with numerous pedagogical and real-world examples."--Cover, volume 1.
THE STORY: When an American translator ventures to a Middle East combat zone, an overfriendly neighbor back home volunteers to help his wife and son as they come to terms with his absence. As events abroad begin to spiral out of control, lives are
The book provides a stand-alone resource for neuroscience graduate students and established neuroscientists who have an interest in cortical evolution and primates.
A readable and comprehensive introduction that examines the key themes in the complex relationships of administrative, criminal and civil law to Canadian society. Law and Society covers the evolution of modern legal systems, current intellectual movements in law, the interplay between law, law-making and social change and the main concerns and issues in the profession and practice of law. With plentiful examples and cases, it also explores recent theories, pertinent new research and emerging trends. Some of the updates to the second edition include information on contemporary issues such as Law and Literature, the Canadian court system, anti-terrorism legislation and privacy issues, drug legislation, divorce, and same-sex marriages. Discussions of aboriginal peoples and restorative justice have been expanded, and there is also a new section on tort law by contributing author Gregory Brown. Critical thinking questions have been added to every chapter.
Intuitive Probability and Random Processes using MATLAB® is an introduction to probability and random processes that merges theory with practice. Based on the author’s belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications. The latter is intended to answer the usual question "Why do we have to study this?" Other salient features are: *heavy reliance on computer simulation for illustration and student exercises *the incorporation of MATLAB programs and code segments *discussion of discrete random variables followed by continuous random variables to minimize confusion *summary sections at the beginning of each chapter *in-line equation explanations *warnings on common errors and pitfalls *over 750 problems designed to help the reader assimilate and extend the concepts Intuitive Probability and Random Processes using MATLAB® is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book. About the Author Steven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award "for outstanding contributions in education and in writing scholarly books and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.
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