datta sumit (8 Ergebnisse)

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: New. pp. xi + 116.

Zustand: New.

XIII, 122 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Springer Series on Bio- and Neurosystems. Volume 9. Sprache: Englisch.

Kartoniert / Broschiert. Zustand: New. KlappentextrnrnChildhood is green like meadow, charming like moon, dreamy like stars, and boundless like sky. Sweet innocence, nascent fantasies and absurd dreams make the world wonderland to a child s eye. And it is so important yet difficult t.

Zustand: New. KlappentextrnrnIf beauty is truth and aesthetic realization is the loftiest goal of human soul then tender shadows of poetry is the sweetest abode of yearning heart. This unique collection of poetry tried to touch every nooks and corners of huma.

Zustand: New. KlappentextrnrnIf beauty is truth and aesthetic realization is the loftiest goal of human soul then tender shadows of poetry is the sweetest abode of yearning heart. This unique collection of poetry tried to touch every nooks and corners of huma.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book presents a comprehensive review of the recent developments in fast L1-norm regularization-based compressed sensing (CS) magnetic resonance image reconstruction algorithms. Compressed sensing magnetic resonance imaging (CS-MRI) is able to reduce the scan time of MRI considerably as it is possible to reconstruct MR images from only a few measurements in the k-space; far below the requirements of the Nyquist sampling rate. L1-norm-based regularization problems can be solved efficiently using the state-of-the-art convex optimization techniques, which in general outperform the greedy techniques in terms of quality of reconstructions. Recently, fast convex optimization based reconstruction algorithms have been developed which are also able to achieve the benchmarks for the use of CS-MRI in clinical practice. This book enables graduate students, researchers, and medical practitioners working in the field of medical image processing, particularly in MRI to understand the need forthe CS in MRI, and thereby how it could revolutionize the soft tissue imaging to benefit healthcare technology without making major changes in the existing scanner hardware. It would be particularly useful for researchers who have just entered into the exciting field of CS-MRI and would like to quickly go through the developments to date without diving into the detailed mathematical analysis. Finally, it also discusses recent trends and future research directions for implementation of CS-MRI in clinical practice, particularly in Bio- and Neuro-informatics applications.