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Multidimensional Signal Processing

In digital signal processing, multidimensional signal processing covers all signal processing done using multidimensional sampling. While multidimensional signal processing is a subset of digital signal processing, it is unique in the sense that it deals specifically with data that can only be adequately detailed using more than one dimension. Examples of this are video processing and multi-sensor radar detection. Multidimensional processing is generally more complex than classical, single dimension signal processing and requires more complex algorithms to handle calculations such as the Fast Fourier Transform due to more degrees of freedom [1].


References

  1. ^ D. Dudgeon and R. Mersereau, Multidimensional Digital Signal Processing, Prentice-Hall, First Edition, pp. 2, 1983.