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The process of adding high-density information onto printed material enables and improves interesting hardcopy document applications, such as: security, authentication, physical-electronic round tripping, item-level tagging as well as consumer/product interaction. This investigation on robust and high capacity print codes aims to maximize information payload in a given printed page area, subject to...
This paper advances in the analysis of the least mean square (LMS) algorithm applied to super-resolution reconstruction (SRR) of an image sequence. SRR of image sequences is highly dependent on the quality of the registration stage. When motion between frames is unknown and has to be estimated, the best available statistical model still requires the numerical estimation of the moments of the registration...
This work presents a modified version of the variable step size Kwong and Johnston's algorithm (VSS) for LMS adaptive filtering. The new proposal, called robust variable step size (RVSS), presents less sensitivity to the power of the measurement noise with only a very small increase in the computational complexity. A theoretical analysis demonstrates the main properties of the new algorithm. For white...
This paper presents a simple and efficient analytical model for the convergence behavior of the filtered-x LMS (FXLMS) algorithm with Gaussian input data. Deterministic recursions are obtained for the mean weight vector and the mean square error. The new model predicts the algorithm behavior for a wide range of practical applications. This model can be employed either when the adaptive filter lies...
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