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In this paper, distributed maximum likelihood estimation for bandwidth constrained wireless sensor networks is investigated. We consider an estimation system that involves temporal and spatial domain observations. In particular, we consider the case where there are a total of K sensors, each making N temporal observations. We choose different K and N, but fix KN = M, which means that the total number...
The problem of missing samples is described in the context of a beamforming operation. Tapering a complete, uniformly spaced sequence is shown to suppress beam sidelobes, but the taper fails to suppress sidelobes when uniformity of sample spacing is destroyed by missing samples. A linear mean square estimator (LMSE) is employed to interpolate the missing samples, thereby regaining sidelobe suppression...
Previous work has shown that for super-resolution image reconstruction from low resolution images, image acquisition with a diverse optical system improves reconstructed image quality as measured by the expected and actual mean squared error. However, other measures of image fidelity should also be considered. An alternative performance measure might be based on edge errors, since edges are often...
This paper explains the chaotic artifact (entrainment) observed when correlated input signals are presented to an adaptive feedback canceller. When an adaptive feedback canceller is being entrained, a few intermittent new frequency components are manifested while keeping the system near the boundary of instability. By applying mean square error (MSE) surface concepts to a simplified feedback canceller,...
In this paper we demonstrate the feasibility of blind equalization of 8-PSK sequences that have been sky wave propagated over a distance of 400 miles using the HF band. Results obtained from our measurements suggest that the channel is varying slowly enough to allow a block-based equalizer coefficient update. A comparison between blind and informed, and block-based and adaptive equalization is performed...
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