Titlebook: Nonuniform Sampling; Theory and Practice Farokh Marvasti Book 2001 Kluwer Academic/Plenum Publishers, New York 2001 Analysis.Modulation.Rad

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Zero-Crossings of Random Processes with Application to Estimation and Detection,ng Transmission Lines,” [35]. For a stationary, ergodic, random process {.} , -∞ < . < ∞, with sufficiently smooth sample paths, the average number of crossings about the level ., per unit time, is given by Rice’s formula [36].where .(., .) is the joint probability density of the . and its mean-squa

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Magnetic Resonance Image Reconstruction from Nonuniformly Sampled ,-space Data,uiring measurement time reduction are, among others, real-time imaging of the heart, bolus tracking, contrast-agent uptake, and functional imaging. To achieve this goal, one can either devise faster measurement techniques or skip substantial numbers of sample points, or both. Often, the adopted tact

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Irregular and Sparse Sampling in Exploration Seismology,by using a suitably powerful source, at various locations. The waves propagate downwards through the subsurface, and are reflected at interfaces between geological layers. They subsequently propagate upwards to the surface, where they are detected and recorded. The seismic response depends of course

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Randomized Digital Optimal Control, periods should often be conceived as stochastic variables. This so called stochastic sampling phenomena occurs in many areas of sampled data systems such as in biological control systems or when a human being selects the sampling instants. Data may be absent at sampling instants when the sampling i

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Prediction of Band-Limited Signals from Past Samples and Applications to Speech Coding,ed discrete values. The idea of a next value assumes a pattern of sampling that is not completely arbitrary, but has a periodic pattern. In addition to past samples that are uniformly-spaced, nonuniform but periodic sampling will be considered here, and each of these patterns will be related to the

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Application of the Nonuniform Sampling to Motion Compensated Prediction for Video Compression,s predicted from one or more previously coded frames in a sequence (also known as interframe prediction). In general, it helps to reduce the overall amount of data required to code a video sequence compared to using intraframe coding alone (where frames are coded with no reference to each other) [1]

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