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In this paper a procedure for deconvolving signals in a Discrete Wavelet Transform (DWT) framework is applied to the estimation of impulse responses of fast-fading communications channels. Specifically, the effects of using several different wavelets on the performance of such wavelet-domain channel estimation is investigated. Monte Carlo simulations are(More)
We developed a generalized technique to characterize polymer-nanopore interactions via single channel ionic current measurements. Physical interactions between analytes, such as DNA, proteins, or synthetic polymers, and a nanopore cause multiple discrete states in the current. We modeled the transitions of the current to individual states with an equivalent(More)
An inconsistent boundary condition in eq 2 was corrected. This change does not in any way alter the results or the conclusions of the paper. Page 1549, column 1, line 11. The text reads as follows: " In Laplace space, each transition is modeled with a Heaviside step function, R p (s) = ΔR p /s, where ΔR p is the instantaneous change in pore resistance, per(More)
In this paper the strategy of Minimum Mean-Squared Error (MMSE) equalization of Discrete Wavelet Transform (DWT) coefficients of received signals is applied in communications receivers. Specifically, the performance of such wavelet-based receivers under a diverse range of conditions is systematically evaluated with the use of Monte Carlo simulations. To(More)
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