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Parsimonious System Identification from Fragmented Quantized Measurements
Quantization is the process of mapping an input signal from an infinite continuous set to a countable set with a finite number of elements.
Lp Quasi-norm Minimization: Algorithm and Applications
An iterative two-block ADMM algorithm for minimizing the $\ell_{p}$ quasi-norm subject to convex constraints is proposed.
Model Predictive Control approach to adaptive messaging intervention for physical activity
In this work, we have developed a framework for synthesizing data driven controllers for a class of uncertain switched systems arising in an application to physical activity interventions.
Comparison of Different Spike Sorting Subtechniques Based on Rat Brain Basolateral Amygdala Neuronal Activity
Spike sorting consists of three steps: spike detection, feature extraction, and spike clustering.
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