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Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory

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Product Information

  • 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.

Attributes

Part Number
22449756
Authors
Kay, Steven
Edition
1
Genre
TECHNOLOGY & ENGINEERING
Label
Pearson
Content Languages
[object Object], [object Object], [object Object]
Number Of Items
1
Number Of Pages
608
Publication Date
1993-03-26
Publisher
Pearson
Studio
Pearson
Lang
en-US
Adult Product
No

Product Identifiers

AIDAlgopix unique identifier
AID99OYI1001
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Shipping Dimensions

Width
7.36 in.
Length
9.53 in.
Height
1.3 in.
Weight
37.12 oz.

Product Dimensions

Width
1 in.
Length
7.2 in.
Height
9.3 in.
Weight
36.64 oz.

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