Deconvolution of Time Domain Waveforms in the Presence of Noise
Language: English
Published by Forgotten Books, 2017
- Softcover
- New
Seller: Forgotten Books, London, United KingdomForgotten Books
AbeBooks seller since June 2, 2021
Condition: New
£ 14.50
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Print on Demand. This book presents new insights into the inverse filtering of time domain waveforms. Inverse filtering, also known as deconvolution, is a mathematical process commonly used in signal processing, especially when recovering a signal that has been degraded or distorted by a system or channel. The author explores various deconvolution methods, shedding light on the challenges of achieving stable and smooth results, which are essential for accurate signal reconstruction. The book thoughtfully examines the theoretical underpinnings of deconvolution and provides practical examples to illustrate the concepts. By comparing different methods, the author offers a nuanced understanding of their respective strengths and limitations. This book serves as a valuable resource for researchers, engineers, and practitioners seeking to advance their knowledge and skills in inverse filtering and signal processing. Its detailed explanations and practical insights make it a useful guide for navigating the complexities of deconvolution and its applications in diverse fields. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.…
Seller Inventory # 9781528522939_0
- Title
- Deconvolution of Time Domain Waveforms in the Presence of Noise
- Author
- N. S. Nahman, M. E. Guillaume
- Publisher
- Forgotten Books
- Publication year
- 2017
- Condition
- New
- Book Type
- print-on-demand item
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1528522931
- ISBN 13
- 9781528522939
- Seller catalogs
- Calculus
Deconvolution or inverse filtering was used to determine the impulse response of a system using noisy input and output time domain sequences (discrete data). Frequency and time domain methods were studied along with the synthesis of the filters required to obtain stable and smooth results. For the methods studied it was concluded that the superior technique was provided by an optimal frequency domain method implemented via the fft. Also, it is pointed out that the time domain methods are only in their infancy and still retain the promise of avoiding transform domain filtering. Examples are presented in which the impulse responses are determined in the presence of varying degrees of noise for a coaxial transmission line, a wave - shaping filter, and a broad - band antenna.
Key words: deconvolution; impulse response; inverse filtering; noise contamination; time domain; waveforms.
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Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Forgotten Books publishes hundreds of thousands of rare and classic books.
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
This text has been digitally restored from a historical edition. Some errors may persist, however we consider it worth publishing due to the work's historical value.
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