Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 115
Book Description
Open-Loop Adaptive Filtering for Speckle Reduction in Synthetic Aperture Radar Images
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 115
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 115
Book Description
Speckle Reduction in Synthetic Aperture Radar Images Using the Two Dimensional Adaptive Correlation Enhancer
Author: Judd A. Rohwer
Publisher:
ISBN:
Category : Speckle
Languages : en
Pages : 196
Book Description
Publisher:
ISBN:
Category : Speckle
Languages : en
Pages : 196
Book Description
Speckle Noise Reduction of Synthetic Aperture Radar Imagery Using Kalman Filters
Author: Gary W. Geling
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
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.
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
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
Author: Marzia Rabbi Zaman
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 234
Book Description
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 234
Book Description
Speckle Reduction in Synthetic Aperture Radar Images
Author: Mert Serkan
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
K-means Spatial Clustering Filters for Speckle Removal in Synthetic Aperture Radar Images
Author: Honglei Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 120
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 120
Book Description
Conference Record
Author:
Publisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 1110
Book Description
Publisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 1110
Book Description
Speckle Reduction for the Reconstruction of Synthetic Aperture Radar Imagery
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Adaptive Filtering
Author: Paulo S.R. Diniz
Publisher: Springer Science & Business Media
ISBN: 1475736371
Category : Technology & Engineering
Languages : en
Pages : 582
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.
Publisher: Springer Science & Business Media
ISBN: 1475736371
Category : Technology & Engineering
Languages : en
Pages : 582
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
Author: Paulo Sergio Ramirez Diniz
Publisher: Springer Science & Business Media
ISBN: 9781402071256
Category : Adaptive filters
Languages : en
Pages : 594
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.
Publisher: Springer Science & Business Media
ISBN: 9781402071256
Category : Adaptive filters
Languages : en
Pages : 594
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.