Provides the background of multi-dimensional digital signal processing, emphasizing the differences and similarities between the one-dimensional and multi-dimensional cases. Includes M-D Fourier transforms, M-D sampling and reconstruction, M-D DFT, M-D filtering, M-D spectral estimation, and inverse problems such as tomography, iterative signal reconstruction, and coherent imaging. Broad applications in radar, sonar, seismic, medical, and astronomical data processing are introduced.
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