Mathematical methods for signal and image treatment : Appendices

Appendices
Mathematical methods for signal and image treatment

Author : Bruno TORRÉSANI

Publication date: October 10, 2011 | Lire en français

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7. Appendices

7.1 Signal vector spaces

Signals of a given length N are frequently represented as vectors, i.e. as elements of the space $ℂ^{N}$ (or $ℝ^{N}$ in the real case). This choice makes it possible to associate any two signals $x, y \in ℂ^{N}$ with their "scalar product"....

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Bibliography

(1) - CARMONA (R.), HWANG (W.L.), TORRÉSANI (B.) - Practical Time-Frequency Analysis : continuous wavelet and Gabor transforms, with an implementation in S - volume 9 of Wavelet Analysis and its Applications. Academic Press, San Diego (1998).
(2)...

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Appendices Mathematical methods for signal and image treatment

7. Appendices

7.1 Signal vector spaces

Bibliography

Appendices
Mathematical methods for signal and image treatment