Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory Hardcover
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 estimator.
extends many of the results for real data/real parameters to complex data/complex parameters.
summarizes as examples many of the important estimators used in practice.
illustrates how a digital computer can be used to assess performance of an estimator.
emphasizes a linear model to allow an optimal estimator to be found by inspection of a data model.
Product Specifications
Publisher: Pearson; 1st edition (April 5, 1993)
Language: English
Hardcover: 608 pages
ISBN-10: 0133457117
ISBN-13: 978-0133457117
Item Weight: 2.25 pounds
Dimensions: 7.25 x 1.12 x 9.5 inches
Best Sellers Rank: #617,496 in Books (See Top 100 in Books) #43 in Signal Processing #720 in Probability & Statistics (Books) #810 in Internet & Telecommunications