Nonuniform Sampling: Theory and Practice
Our understanding of nature is often through nonuniform observations in space or time. In space, one normally observes the important features of an object, such as edges. The less important features are interpolated. History is a collection of important events that are nonuniformly spaced in time. Historians infer between events (interpolation) and politicians and sk market analysts forecast the future from past and present events (extrapolation). The 20 chapters of Nonuniform Sampling: Theory and Practice contain contributions by leading researchers in nonuniform and Shannon sampling, zero crossing, and interpolation theory. Its practical applications include NMR, seismology, speech and image coding, modulation and coding, optimal content, array processing, and digital filter design. It has a tutorial outlook for practising engineers and advanced students in science, engineering, and mathematics. It is also a useful reference for scientists and engineers working in the areas of medical imaging, geophysics, astronomy, biomedical engineering, computer graphics, digital filter design, speech and video processing, and phased array radar.
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Nonuniform Sampling: Theory and Practice
Our understanding of nature is often through nonuniform observations in space or time. In space, one normally observes the important features of an object, such as edges. The less important features are interpolated. History is a collection of important events that are nonuniformly spaced in time. Historians infer between events (interpolation) and politicians and sk market analysts forecast the future from past and present events (extrapolation). The 20 chapters of Nonuniform Sampling: Theory and Practice contain contributions by leading researchers in nonuniform and Shannon sampling, zero crossing, and interpolation theory. Its practical applications include NMR, seismology, speech and image coding, modulation and coding, optimal content, array processing, and digital filter design. It has a tutorial outlook for practising engineers and advanced students in science, engineering, and mathematics. It is also a useful reference for scientists and engineers working in the areas of medical imaging, geophysics, astronomy, biomedical engineering, computer graphics, digital filter design, speech and video processing, and phased array radar.
299.99 In Stock
Nonuniform Sampling: Theory and Practice

Nonuniform Sampling: Theory and Practice

by Farokh Marvasti (Editor)
Nonuniform Sampling: Theory and Practice

Nonuniform Sampling: Theory and Practice

by Farokh Marvasti (Editor)

Hardcover(2001)

$299.99 
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Overview

Our understanding of nature is often through nonuniform observations in space or time. In space, one normally observes the important features of an object, such as edges. The less important features are interpolated. History is a collection of important events that are nonuniformly spaced in time. Historians infer between events (interpolation) and politicians and sk market analysts forecast the future from past and present events (extrapolation). The 20 chapters of Nonuniform Sampling: Theory and Practice contain contributions by leading researchers in nonuniform and Shannon sampling, zero crossing, and interpolation theory. Its practical applications include NMR, seismology, speech and image coding, modulation and coding, optimal content, array processing, and digital filter design. It has a tutorial outlook for practising engineers and advanced students in science, engineering, and mathematics. It is also a useful reference for scientists and engineers working in the areas of medical imaging, geophysics, astronomy, biomedical engineering, computer graphics, digital filter design, speech and video processing, and phased array radar.

Product Details

ISBN-13: 9780306464454
Publisher: Springer US
Publication date: 11/30/2001
Series: Information Technology: Transmission, Processing and Storage
Edition description: 2001
Pages: 924
Product dimensions: 6.10(w) x 9.25(h) x 0.08(d)

Table of Contents

1. Introduction.- 2. An Introduction to Sampling Analysis.- 3. Lagrange Interpolation and Sampling Theorems.- 4. Random Topics in Nonuniform Sampling.- 5. Iterative and Noniterative Recovery of Missing Samples for 1-D Band-Limited Signals.- 6. Numerical and Theoretical Aspects of Nonuniform Sampling of Band-Limited Images.- 7. The Nonuniform Discrete Fourier Transform.- 8. Reconstruction of Stationary Processes Sampled at Random Times.- 9. Zero-Crossings of Random Processes with Application to Estimation and Detection.- 10. Magnetic Resonance Image Reconstruction from Nonuniformly Sampled k-Space Data.- 11. Irregular and Sparse Sampling in Exploration Seismology.- 12. Randomized Digital Optimal Control.- 13. Prediction of Band-Limited Signals from Past Samples and Applications to Speech Coding.- 14. Frames, Irregular Sampling, and a Wavelet Auditory Model.- 15. Application of the Nonuniform Sampling to Motion Compensated Prediction for Video Compression.- 16. Applications of Nonuniform Sampling to Nonlinear Modulation, A/D and D/A Techniques.- 17. Applications to Error Correction Codes.- 18. Application of Nonuniform Sampling to Error Concealment.- 19. Sparse Sampling in Array Processing.- 20. Fractional Delay Filters—Design and Applications.- Author Index.- CD-ROM Contents.
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