Open-Loop Adaptive Filtering for Speckle Reduction in Synthetic Aperture Radar Images

Open-Loop Adaptive Filtering for Speckle Reduction in Synthetic Aperture Radar Images PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 115

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Open-Loop Adaptive Filtering for Speckle Reduction in Synthetic Aperture Radar Images

Open-Loop Adaptive Filtering for Speckle Reduction in Synthetic Aperture Radar Images PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 115

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Speckle Reduction in Synthetic Aperture Radar Images Using the Two Dimensional Adaptive Correlation Enhancer

Speckle Reduction in Synthetic Aperture Radar Images Using the Two Dimensional Adaptive Correlation Enhancer PDF Author: Judd A. Rohwer
Publisher:
ISBN:
Category : Speckle
Languages : en
Pages : 196

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Speckle Noise Reduction of Synthetic Aperture Radar Imagery Using Kalman Filters

Speckle Noise Reduction of Synthetic Aperture Radar Imagery Using Kalman Filters PDF Author: Gary W. Geling
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Synthetic aperture radar (SAR) imagery is gaining increased usage as more systems become available and more applications are being developed. An "unfortunate" problem with SAR imagery is the high level of noise, often called speckle. The speckle effects reduce the utility of SAR imagery a great deal. This thesis will address the causes of speckle and many of the current methods that are used to reduce the speckle noise. Kalman filtering methods will then be adapted for use on SAR imagery taking into account the special properties of this type of filter and images.

Adaptive Filters for Edge-preserving Smoothing of Speckle Noise in Digital Images

Adaptive Filters for Edge-preserving Smoothing of Speckle Noise in Digital Images PDF Author: Marzia Rabbi Zaman
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 234

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Speckle Reduction in Synthetic Aperture Radar Images

Speckle Reduction in Synthetic Aperture Radar Images PDF Author: Mert Serkan
Publisher:
ISBN:
Category :
Languages : en
Pages :

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K-means Spatial Clustering Filters for Speckle Removal in Synthetic Aperture Radar Images

K-means Spatial Clustering Filters for Speckle Removal in Synthetic Aperture Radar Images PDF Author: Honglei Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 120

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Conference Record

Conference Record PDF Author:
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ISBN:
Category : Automatic control
Languages : en
Pages : 1110

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Speckle Reduction for the Reconstruction of Synthetic Aperture Radar Imagery

Speckle Reduction for the Reconstruction of Synthetic Aperture Radar Imagery PDF Author:
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ISBN:
Category :
Languages : en
Pages :

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Adaptive Filtering

Adaptive Filtering PDF Author: Paulo S.R. Diniz
Publisher: Springer Science & Business Media
ISBN: 1475736371
Category : Technology & Engineering
Languages : en
Pages : 582

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Book Description
Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference. This second edition contains a substantial amount of new material: -Two new chapters on nonlinear and subband adaptive filtering; -Linearly constrained Weiner filters and LMS algorithms; -LMS algorithm behavior in fast adaptation; -Affine projection algorithms; -Derivation smoothing; -MATLAB codes for algorithms.

Adaptive Filtering

Adaptive Filtering PDF Author: Paulo Sergio Ramirez Diniz
Publisher: Springer Science & Business Media
ISBN: 9781402071256
Category : Adaptive filters
Languages : en
Pages : 594

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Book Description
Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference. This second edition contains a substantial amount of new material: -Two new chapters on nonlinear and subband adaptive filtering; -Linearly constrained Weiner filters and LMS algorithms; -LMS algorithm behavior in fast adaptation; -Affine projection algorithms; -Derivation smoothing; -MATLAB codes for algorithms. An instructor's manual, a set of master transparencies, and the MATLAB codes for all of the algorithms described in the text are also available. Useful to both professional researchers and students, the text includes 185 problems; over 38 examples, and over 130 illustrations. It is of primary interest to those working in signal processing, communications, and circuits and systems. It will also be of interest to those working in power systems, networks, learning systems, and intelligent systems.