Statistical Digital Signal Processing and Modeling / Monson H. Hayes

By:

Hayes, Monson H [Author]

Material type: Text

9780471594314

Subject(s):

DDC classification:

621.382 HAS

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

Appendix: Use of Matlab Programs

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."

Item type:

Books List(s) this item appears in: Statistics Discipline

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Holdings
Item type	Current library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	KU Central Library	Rack No. : 31 Annex : 01 Shelve No. : A-02	Reference Section (Non-Issuable Books)	621.382 HAS 1996 (Browse shelf(Opens below))	C-1 (NI)	Not For Loan		51959
Books	KU Central Library	Rack No. : 31 Annex : 01 Shelve No. : A-02	Reference Section (Non-Issuable Books)	621.382 HAS 1996 (Browse shelf(Opens below))	C-2 (NI)	Not For Loan		51960

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Previous	621.3815 SCI 1986 Industrial electronics and robotics /	621.3815 TUS 1995 SPICE : a guide to circuit simulation and analysis using PSpice/	621.382 ANF 2010 Fundamentals of WiMAX : understanding broadband wireless networking /	621.382 HAS 1996 Statistical Digital Signal Processing and Modeling /	621.382 HAS 1996 Statistical Digital Signal Processing and Modeling /	621.382 PRD 2008 Digital Communications/	621.382 PRD 2008 Digital Communications/	Next

Includes bibliographical references and index.

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

Appendix: Use of Matlab Programs

"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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