User:Tjhuston225/Multidimensional Signal Processing

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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 image processing and multi-sensor radar detection. Multidimensional signals are part of multidimensional systems, and as such are generally more complex than classical, single dimension signal processing. Processing in m-D (multi-dimension) requires more complex algorithms to handle calculations such as the Fast Fourier Transform due to more degrees of freedom ^[1]. In some cases, m-D signals and systems can be simplified into single dimension signal processing methods, utilizing assumptions such as symmetry.

Sampling

Multidimensional sampling requires different analysis than typical sampling(signal Processing).

References

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

External links

www.example.com

[petmid62-1] D. Dudgeon and R. Mersereau, Multidimensional Digital Signal Processing, Prentice-Hall, First Edition, pp. 2, 1983.

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