Statistical Digital Signal Processing and Modeling
Hayes, Monson H.
Sold by Better World Books Ltd, Dunfermline, United Kingdom
AbeBooks Seller since 13 October 2008
Used - Soft cover
Condition: Very Good
Quantity: 1 available
Add to basketSold by Better World Books Ltd, Dunfermline, United Kingdom
AbeBooks Seller since 13 October 2008
Condition: Very Good
Quantity: 1 available
Add to basketShips from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
Seller Inventory # GRP65491408
This new text responds to the dramatic growth in digital signal processing (DSP) over the past decade, and is the product of many years of teaching an advanced DSP course at Georgia Tech. While the focal point of the text is signal modeling, it integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectrum estimation, and adaptive filtering.
Coverage is equally divided between the theory and philosophy of statistical signal processing, and the algorithms that are used to solve related problems. The text reflects the author's philosophy that a deep understanding of signal processing is accomplished best through working problems. For this reason, the book is loaded with worked examples, homework problems, and MATLAB computer exercises. While the examples serve to illustrate the ideas developed in the book, the problems seek to motivate and challenge the student and the computer exercises allow the student to experiment with signal processing algorithms on complex signals.
Professor Hayes is recognized as a leader in the signal processing community, particularly for his work in signal reconstruction and image processing. This text is suitable for senior/graduate level courses in advanced DSP or digital filtering found in Electrical Engineering Departments. Prerequisites include basic courses in DSP and probability theory.
Monson H. Hayes is the author of Statistical Digital Signal Processing and Modeling, published by Wiley.
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