Convolution with a sinc gives uniform approximation to a function

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The discussion centers on the correctness of problem 2.13 in Mallat's "A Wavelet Tour of Signal Processing," specifically regarding the convolution of a continuous and bounded variation function with a sinc function. Concerns are raised about the need for additional hypotheses on the modulus of continuity to support the claim that the convolution converges uniformly to the original function. The relevance of this problem lies in its implications for justifying the truncation of a signal's spectrum while still recovering a similar signal for L2 functions. Additionally, the discussion highlights the significance of the sinc function's convergence to the delta function. This topic invites further insights and clarifications from participants.
Fernsanz
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Hi everybody.
Some students have asked me about problem 2.13 in Mallat's book "A wavelet Tour of Signal Proccessing". After some work on it, I think is not completely correct. I think some hypostesis on modulus of continuity are needed.
I attach the statement.
mallat.jpg

Esentially, what it says, is that the convolution of a continuous and bounded variation function with a sinc converges UNIFORMLY to the function. I would need a kind of uniform Riemann-Lebesgue lemma to achieve that conclussion.
It is a relevant problem cause it could justify why we can truncate the spectrum of a signal and recover something not too diferent from that truncate spectra for L2 signals.
Let me know what do you think.
Thanks
 
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You've probably had this addressed by now - but the bounded variation assumption that Mallat should provide you with the modulus of continuity that you need, because it says the difference in two values of the function are bounded.

The result is interesting for a deeper reason too ... it says that the sinc function converges to the delta function.
 

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