Signal Inpainting
Ayush Bhandhari, BIG
Consider a signal which is a linear combination of K-complex exponentials. Unlike most practical setups, where one can access the samples (uniform or non-uniform) of this signal, we assume that we can only access samples oversome finite unions of intervals where the signal is non-vanishing. For all remaining intervals, we assume the signal is overdriven. With these assumptions on the signal model, we propose an empirical approach to resolve the frequencies of the complex exponentials.
Ayush Bhandhari, BIG
Test Run • 10 January 2011
AbstractConsider a signal which is a linear combination of K-complex exponentials. Unlike most practical setups, where one can access the samples (uniform or non-uniform) of this signal, we assume that we can only access samples oversome finite unions of intervals where the signal is non-vanishing. For all remaining intervals, we assume the signal is overdriven. With these assumptions on the signal model, we propose an empirical approach to resolve the frequencies of the complex exponentials.