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Mathematical and Statistical Methods for Multistatic Imaging
14 Angebote vergleichen
Preise | 2017 | 2019 | 2023 |
---|---|---|---|
Schnitt | € 59,49 | € 53,45 | € 49,02 |
Nachfrage |
Mathematical and Statistical Methods for Multistatic Imaging
ISBN: 9783319025841 bzw. 3319025848, vermutlich in Englisch, Springer Nature, Taschenbuch, neu.
This book covers recent mathematical, numerical, and statistical approaches for multistatic imaging of targets with waves at single or multiple frequencies. The waves can be acoustic, elastic or electromagnetic. They are generated by point sources on a transmitter array and measured on a receiver array. An important problem in multistatic imaging is to quantify and understand the trade-offs between data size, computational complexity, signal-to-noise ratio, and resolution. Another fundamental problem is to have a shape representation well suited to solving target imaging problems from multistatic data. In this book the trade-off between resolution and stability when the data are noisy is addressed. Efficient imaging algorithms are provided and their resolution and stability with respect to noise in the measurements analyzed. It also shows that high-order polarization tensors provide an accurate representation of the target. Moreover, a dictionary-matching technique based on new invariants for the generalized polarization tensors is introduced. Matlab codes for the main algorithms described in this book are provided. Numerical illustrations using these codes in order to highlight the performance and show the limitations of numerical approaches for multistatic imaging are presented. Soft cover.
Mathematical and Statistical Methods for Multistatic Imaging
ISBN: 9783319025858 bzw. 3319025856, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
This book covers recent mathematical, numerical, and statistical approaches for multistatic imaging of targets with waves at single or multiple frequencies. The waves can be acoustic, elastic or electromagnetic. They are generated by point sources on a transmitter array and measured on a receiver array. An important problem in multistatic imaging is to quantify and understand the trade-offs between data size, computational complexity, signal-to-noise ratio, and resolution. Another fundamental problem is to have a shape representation well suited to solving target imaging problems from multistatic data. In this book the trade-off between resolution and stability when the data are noisy is addressed. Efficient imaging algorithms are provided and their resolution and stability with respect to noise in the measurements analyzed. It also shows that high-order polarization tensors provide an accurate representation of the target. Moreover, a dictionary-matching technique based on new invariants for the generalized polarization tensors is introduced. Matlab codes for the main algorithms described in this book are provided. Numerical illustrations using these codes in order to highlight the performance and show the limitations of numerical approaches for multistatic imaging are presented. eBook.
Mathematical and Statistical Methods for Multistatic Imaging | / / -
ISBN: 9783319025841 bzw. 3319025848, in Deutsch, Springer, neu.
Mathematical and Statistical Methods for Multistatic Imaging (2013)
ISBN: 9783319025841 bzw. 3319025848, in Deutsch, Springer, Taschenbuch, neu.
Sparbuchladen, [3602074].
Neuware - This book covers recent mathematical, numerical, and statistical approaches for multistatic imaging of targets with waves at single or multiple frequencies. The waves can be acoustic, elastic or electromagnetic. They are generated by point sources on a transmitter array and measured on a receiver array. An important problem in multistatic imaging is to quantify and understand the trade-offs between data size, computational complexity, signal-to-noise ratio, and resolution. Another fundamental problem is to have a shape representation well suited to solving target imaging problems from multistatic data. In this book the trade-off between resolution and stability when the data are noisy is addressed. Efficient imaging algorithms are provided and their resolution and stability with respect to noise in the measurements analyzed. It also shows that high-order polarization tensors provide an accurate representation of the target. Moreover, a dictionary-matching technique based on new invariants for the generalized polarization tensors is introduced. Matlab codes for the main algorithms described in this book are provided. Numerical illustrations using these codes in order to highlight the performance and show the limitations of numerical approaches for multistatic imaging are presented. -, Taschenbuch.
Mathematical and Statistical Methods for Multistatic Imaging
ISBN: 9783319025858 bzw. 3319025856, in Englisch, neu, E-Book, elektronischer Download.
This book covers recent mathematical, numerical, and statistical approaches for multistatic imaging of targets with waves at single or multiple frequencies. The waves can be acoustic, elastic or electromagnetic. They are generated by point sources on a transmitter array and measured on a receiver array. An important problem in multistatic imaging is to quantify and understand the trade-offs between data size, computational complexity, signal-to-noise ratio, and resolution. Another fundamental problem is to have a shape representation well suited to solving target imaging problems from multistatic data. In this book the trade-off between resolution and stability when the data are noisy is addressed. Efficient imaging algorithms are provided and their resolution and stability with respect to noise in the measurements analyzed. It also shows that high-order polarization tensors provide an accurate representation of the target. Moreover, a dictionary-matching technique based on new invariants for the generalized polarization tensors is introduced. Matlab codes for the main algorithms described in this book are provided. Numerical illustrations using these codes in order to highlight the performance and show the limitations of numerical approaches for multistatic imaging are presented.
Mathematical and Statistical Methods for Multistatic Imaging
ISBN: 9783319025841 bzw. 3319025848, in Deutsch, Springer International Publishing AG, Taschenbuch, neu.
BRAND NEW PRINT ON DEMAND., Mathematical and Statistical Methods for Multistatic Imaging, Habib Ammari, Josselin Garnier, Wenjia Jing, Hyeonbae Kang, Mikyoung Lim, This book covers recent mathematical, numerical, and statistical approaches for multistatic imaging of targets with waves at single or multiple frequencies. The waves can be acoustic, elastic or electromagnetic. They are generated by point sources on a transmitter array and measured on a receiver array. An important problem in multistatic imaging is to quantify and understand the trade-offs between data size, computational complexity, signal-to-noise ratio, and resolution. Another fundamental problem is to have a shape representation well suited to solving target imaging problems from multistatic data. In this book the trade-off between resolution and stability when the data are noisy is addressed. Efficient imaging algorithms are provided and their resolution and stability with respect to noise in the measurements analyzed. It also shows that high-order polarization tensors provide an accurate representation of the target. Moreover, a dictionary-matching technique based on new invariants for the generalized polarization tensors is introduced. Matlab codes for the main algorithms described in this book are provided. Numerical illustrations using these codes in order to highlight the performance and show the limitations of numerical approaches for multistatic imaging are presented.
Mathematical and Statistical Methods for Imaging (2010)
ISBN: 9780821882276 bzw. 0821882279, in Deutsch, American Mathematical Society, neu, E-Book, elektronischer Download.
Mathematical and Statistical Methods for Imaging: This volume contains the proceedings of the NIMS Thematic Workshop on Mathematical and Statistical Methods for Imaging, which was held from August 10-13, 2010, at Inha University, Incheon, Korea. The goal of this volume is to give the reader a deep and unified understanding of the field of imaging and of the analytical and statistical tools used in imaging. It offers a good overview of the current status of the field and of directions for further research. Challenging problems are addressed from analytical, numerical, and statistical perspectives. The articles are devoted to four main areas: analytical investigation of robustness hypothesis testing and resolution analysis, particularly for anomaly detection new efficient imaging techniques and the effects of anisotropy, dissipation, or attenuation in imaging. Ebook.
Mathematical and Statistical Methods for Multistatic Imaging als von Habib Ammari, Josselin Garnier, Wenjia Jing, Hyeonbae Kang, Mikyoung Lim
ISBN: 9783319025841 bzw. 3319025848, in Deutsch, gebundenes Buch, neu.
Mathematical and Statistical Methods for Multistatic Imaging (ebook)
ISBN: 9783319025858 bzw. 3319025856, in Englisch, (null), neu, E-Book.
Mathematical and Statistical Methods for Multistatic Imaging
ISBN: 9783319025858 bzw. 3319025856, vermutlich in Englisch, Springer International Publishing, Taschenbuch, neu.