O'Reilly logo

Lessons in Estimation Theory for Signal Processing, Communications, and Control, Second Edition by Jerry M. Mendel - Department of Electrical Engineering, University of Southern California, Los Angeles, California

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Lesson 6 Small-sample Properties of Estimators*

*This lesson was written using some suggestions and inputs from Dr. Georgios B. Giannakis, Department of Electrical Engineering, University of Virginia, Charlottesville, VA.

Summary

This lesson begins with a question: “How do we know whether or not the results obtained from the LSE, or for that matter any estimator, are good?” We learn that, to answer this question, we must make use of the fact that all estimators represent transformations of random data; hence, Image is itself random, so that its properties must be studied from a statistical viewpoint. This fact and its consequences, which seem so ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required