
Hardcover
Intended for practicing engineers and scientists who design and analyze signal processing systems. This work offers a unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.
Fundamentals of Statistical Processing, 1st Edition
estimation theory, volume 1
$392.04
- Hardcover
608 pages
- Release Date
8 May 1993
Check Delivery Options
Summary
This text provides a unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms, which covers important approaches to obtaining an optimal estimator and analyzing its performance. Examples and real-world applications are included. The text: describes the field of parameter estimation based on time series data; provides a summary of principal approaches as well as a “roadmap” to use in the selection of an estimat…
Book Details
| ISBN-13: | 9780133457117 |
|---|---|
| ISBN-10: | 0133457117 |
| Series: | Prentice Hall Signal Processing Series |
| Author: | Steven Kay |
| Publisher: | Pearson Education (US) |
| Imprint: | Pearson |
| Format: | Hardcover |
| Number of Pages: | 608 |
| Edition: | 1st |
| Release Date: | 8 May 1993 |
| Weight: | 1.04kg |
| Dimensions: | 238mm x 180mm x 28mm |
You Can Find This Book In
About The Author
Steven Kay
Kay of the University of Rhode Island
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.




