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Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms

resonance image reconstruction algorithms. Compressed sensing magnetic resonance imaging (CS-MRI) is able to reduce the scan time of MRI;

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Reconstruction-Free Compressive Vision for Surveillance Applications

Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the;

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Reconstruction-Free Compressive Vision for Surveillance Applications

Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the;

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Compressed Sensing for Magnetic Resonance Image Reconstruction

-channel MRI and the interesting challenges consequently thrown up in signal reconstruction. Off-line and on-line techniques in dynamic MRI;

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Compressed Sensing for Distributed Systems

This book presents a survey of the state-of-the art in the exciting and timely topic of compressed sensing for distributed systems. It has;

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Compressed Sensing for Engineers

Compressed Sensing (CS) in theory deals with the problem of recovering a sparse signal from an under-determined system of linear equations;

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Compressed Sensing for Engineers

Compressed Sensing (CS) in theory deals with the problem of recovering a sparse signal from an under-determined system of linear equations;

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Regularized Image Reconstruction in Parallel MRI with MATLAB

of k-space values in autocalibration methods or sparse approximation in the compressed sensing based reconstruction model. Features;

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Principles of Magnetic Resonance Imaging

Principles of Magnetic Resonance Imaging Biomedical/Electrical Engineering Principles of Magnetic Resonance Imaging;

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Acoustical Sensing and Imaging

For complex operating modalities and dimensionalities, the design and development of high-performance sensing and imaging systems represent;

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Compressive Sensing of Earth Observations

includes image reconstruction from compressed data, resolution enhancement, and image reconstruction from incomplete data.;

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Machine Learning for Medical Image Reconstruction

magnetic resonance imaging and deep learning for general image reconstruction.;

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Machine Learning for Medical Image Reconstruction

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR;

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Compressed Sensing und Sparse Rekonstruktion bei Magnetic Particle Imaging

erstellt, indem die Systemantwort auf eine Punktprobe in jedem Voxel gemessen wird. Die Theorie des Compressed Sensing besagt, dass ein Signal;

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Image and Video Processing in the Compressed Domain

As more images and videos are becoming available in compressed formats, researchers have begun designing algorithms for different image;

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Image and Video Processing in the Compressed Domain

As more images and videos are becoming available in compressed formats, researchers have begun designing algorithms for different image;

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Advances in Sampling Theory and Techniques

of signal integral transforms. Topics include classical sampling theory, compressed sensing, non-redundant sampling, fast signal resampling;

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Compressed Sensing in Li-Fi and Wi-Fi Networks

Compressed Sensing in Li-Fi and Wi-Fi Networks features coverage of the first applications in optical telecommunications and wireless;

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Compressed Sensing

Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics;

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Toolbox for Autologous Breast Reconstruction, An Issue of Clinics in Plastic Surgery

Duplex Ultrasound, and Laser Doppler Flowmetry as Tools for Successful Autologous Breast Reconstruction; Doppler Sonography and Color Duplex;

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Image and Video Compression

the performance of the compression algorithms. They also introduce the modern technique of compressed sensing, which retains the most;

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Image and Video Compression

the performance of the compression algorithms. They also introduce the modern technique of compressed sensing, which retains the most;

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Image Understanding Using Sparse Representations

, inpainting, compressed sensing, blind source separation, super-resolution, and classification. The primary goal of this book is to present the;

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Cardiovascular Magnetic Resonance Handbook

in surgical planning in complex congenital heart disease. Cardiovascular magnetic resonance utilizes the basic principles of image reconstruction and;

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Quantitative Magnetic Resonance Imaging

mapping are performed How fast imaging approaches including parallel imaging, compressed sensing, and Magnetic Resonance

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Introduction To Sparse Stochastic Processes

and researchers with an interest in signal/image processing, compressed sensing, approximation theory, machine learning, or statistics.;

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Compressed Sensing for MRI

This work explores and extends the concept of applying compressed sensing to MRI. Asuccessful CS reconstruction requires incoherent;

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