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As the digital signal processing technology advances, the use of adaptive arrays to combat multipath fading and to reduce interference becomes increasingly valuable as a means of adding capacity to mobile communications. ...

Ceramic materials are ideal candidates for dental restorative applications for their color, texture, and mechanical properties which closely resemble those of the human enamel. However, due to the inherent brittleness of ...

The rank revealing URV decomposition is an effective tool in many signal processing applications that require the computation of the noise subspace of a matrix. In this paper, we consider a parallel architecture for updating ...

In [1], Restrepo and Bovik developed an elegant mathematical framework in which they studied locally monotonic regressions in RN . The drawback is that the complexity of their algorithms is exponential in N. In this paper, ...

To separate and recover multiple signals in data communications, antenna arrays and acoustic sensor arrays, the impulse responses of multiple-input/multiple-output (MIMO) channels have to be identified explicitly or ...

Constrained regression problems appear in the context of optimal nonlinear filtering, as well as in a variety of other contexts, e.g., chromatographic analysis in chemometrics and manufacturing, and spectral estimation. ...

We look at the problem of estimation for partially observed, risk-sensitive control problems with finite state, input and output sets, and receding horizon. We describe architectures for risk sensitive controllers, and ...

In this paper, we will propose a super-resolution scheme for the parameter estimation of multi-dimensional (M-D) NMR spectroscopy. M-D NMR signals can be modeled as the summation of M-D damped sinusoids. The frequencies ...

In most low-power VLSI designs, the supply voltage is usually reduced to lower the total power consumption. However, the device speed will be degraded as the supply voltage goes down. In order to meet the low-power/high-throughput ...

We examine the problem of finding similar tumor shapes. Starting from a natural similarity function (the so-called ax morphological distance'), we showed how to lower-bound it and how to search for nearest neighbors in ...