Teknik Informatika S1
The Theory of Linear Prediction (E)
Linear prediction theory has had a profound impact in the field of digital signal processing.
Although the theory dates back to the early 1940s, its influence can still be seen in applications
today. The theory is based on very elegant mathematics and leads to many beautiful insights into
statistical signal processing. Although prediction is only a part of the more general topics of linear
estimation, filtering, and smoothing, this book focuses on linear prediction. This has enabled
detailed discussion of a number of issues that are normally not found in texts. For example, the
theory of vector linear prediction is explained in considerable detail and so is the theory of line
spectral processes. This focus and its small size make the book different from many excellent texts
which cover the topic, including a few that are actually dedicated to linear prediction. There are
several examples and computer-based demonstrations of the theory. Applications are mentioned
wherever appropriate, but the focus is not on the detailed development of these applications. The
writing style is meant to be suitable for self-study as well as for classroom use at the senior and
first-year graduate levels. The text is self-contained for readers with introductory exposure to signal
processing, random processes, and the theory of matrices, and a historical perspective and detailed
outlinearegiveninthefirstchapter.
Tidak ada salinan data
Tidak tersedia versi lain