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Bandwidth


Bandwidth has distinct meanings in matrix theory, graph theory, and signal processing.

The bandwidth of a matrix M=(m_(ij)) is the maximum value of |i-j| such that m_(ij) is nonzero.

The graph bandwidth of a graph is the minimum bandwidth of its adjacency matrix over all orderings of the graph vertices.

For a signal whose Fourier transform vanishes outside a frequency interval [f_(min),f_(max)], the bandwidth is f_(max)-f_(min). More generally, an effective bandwidth is the width of a stated frequency range in which the signal or system response satisfies a specified criterion. The criterion matters when the spectrum does not vanish sharply. The Shannon-Hartley theorem uses the bandwidth of an ideal band-limited communication channel.


See also

Channel Capacity, Fourier Transform, Graph Bandwidth, Power Spectrum, Shannon-Hartley Theorem

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References

Oppenheim, A. V.; Willsky, A. S.; and Nawab, S. H. Signals and Systems, 2nd ed. Upper Saddle River, NJ: Prentice Hall, 1997.

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Bandwidth

Cite this as:

Weisstein, Eric W. "Bandwidth." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/Bandwidth.html

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