Statistical digital signal processing and modeling Monson H Hayes

By:

Hayes, Monson H

Material type: Text

9788126516100

Subject(s):

DDC classification:

621.382 HAY

Contents:

1. Introduction -- 2. Background -- 3. Discrete-Time Random Processes -- 4. Signal Modeling -- 5. The Levinson Recursion -- 6. Lattice Filters -- 7. Wiener Filtering -- 8. Spectrum Estimation -- 9. Adaptive Filtering --

Summary: The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.

List(s) this item appears in: New Arrivals Oct-Nov 2021 - Central Library IIITDMK

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Gratis, Gifts	IIITDM Kurnool General Stacks	Non-fiction	621.382 HAY (Browse shelf(Opens below))	Available		G000333

1. Introduction --
2. Background --
3. Discrete-Time Random Processes --
4. Signal Modeling --
5. The Levinson Recursion --
6. Lattice Filters --
7. Wiener Filtering --
8. Spectrum Estimation --
9. Adaptive Filtering --

The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.

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