84 citations · 342 across the 31 of their papers we have counts for
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math.OC2011★ 5 cited
Analog Sparse Approximation with Applications to Compressed Sensing
Adam S. Charles, Pierre Garrigues, Christopher J. Rozell
Recent research has shown that performance in signal processing tasks can often be significantly improved by using signal models based on sparse representations, where a signal is…
math.DS2011★ 84 cited
Convergence and Rate Analysis of Neural Networks for Sparse Approximation
Aurèle Balavoine, Justin Romberg, Christopher J. Rozell
We present an analysis of the Locally Competitive Algorithm (LCA), a Hopfield-style neural network that efficiently solves sparse approximation problems (e.g., approximating a vect…