Marvasti F. Nonuniform Sampling. Theory and Practice

Издательство Kluwer, 2001, -924 pp.Man’s 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, similar to stock market analysts, forecast the future from past and present events (extrapolation). This fact can be generalized to other realms of human endeavor. Indeed most readers of this book may read the introduction, the conclusion, and possibly a few sections of a few chapters of this book and then try to figure out the rest by interpolation!An Introduction to Sampling Analysis
Lagrange Interpolation and Sampling Theorems
Random Topics in Nonuniform Sampling
Iterative and Noniterative Recovery of Missing Samples for I-D Band-Limited Signals
Numerical and Theoretical Aspects of Nonuniform Sampling of Band-Limited Images
The Nonuniform Discrete Fourier Transform
Reconstruction of Stationary Processes Sampled at Random Times
Zero-Crossings of Random Processes with Application to Estimation and Detection
Magnetic Resonance Image Reconstruction from Nonuniformly Sampled k-Space Data
Irregular and Sparse Sampling in Exploration Seismology
Randomized Digital Optimal Control
Prediction of Band-Limited Signals from Past Samples and Applications to Speech Coding
Frames, Irregular Sampling, and a Wavelet Auditory Model
Application of the Nonuniform Sampling to Motion Compensated Prediction for Video Compression
Applications of Nonuniform Sampling to Nonlinear Modulation, A/D and D/A Techniques
Applications to Error Correction Codes
Application of Nonuniform Sampling to Error Concealment
Sparse Sampling in Array Processing
Fractional Delay Filters-Design and Applications