Signal Processing Noise
Language: English
Published by CRC Press, 2002
Series: Book 8 of 24 - Electrical Engineering & Applied Signal Processing
- Hardcover
- New
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condition: New
£ 439.94
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Add to basketItem description from seller
Presents a generalized approach to signal processing in multiplicative and additive noise that represents a major advance in signal processing and detection theory. Addressing a fundamental problem in complex signal processing systems, this book offers the possibility of raising the potential noise immunity in a wide range of applications. Series: Electrical Engineering & Applied Signal Processing Series. Num Pages: 688 pages, 78 black & white illustrations. BIC Classification: TJK; UYS. Category: (UU) Undergraduate. Dimension: 235 x 156 x 38. Weight in Grams: 1066. . 2002. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.
Seller Inventory # V9780849310256
- Title
- Signal Processing Noise
- Author
- Tuzlukov, Vyacheslav
- Publisher
- CRC Press
- Publication year
- 2002
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0849310253
- ISBN 13
- 9780849310256
- Series
- Book 8 of 24: Electrical Engineering & Applied Signal Processing
Additive and multiplicative noise in the information signal can significantly limit the potential of complex signal processing systems, especially when those systems use signals with complex phase structure. During the last few years this problem has been the focus of much research, and its solution could lead to profound improvements in applications of complex signals and coherent signal processing.
Signal Processing Noise sets forth a generalized approach to signal processing in multiplicative and additive noise that represents a remarkable advance in signal processing and detection theory. This approach extends the boundaries of the noise immunity set by classical and modern signal processing theories, and systems constructed on this basis achieve better detection performance than that of systems currently in use. Featuring the results of the author's own research, the book is filled with examples and applications, and each chapter contains an analysis of recent observations obtained by computer modelling and experiments.
Tables and illustrations clearly show the superiority of the generalized approach over both classical and modern approaches to signal processing noise. Addressing a fundamental problem in complex signal processing systems, this book offers not only theoretical development, but practical recommendations for raising noise immunity in a wide range of applications.
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