Sentence examples for sparse function from inspiring English sources

It is a general, greedy, sparse function approximation scheme with the squared error loss, which iteratively adds new functions (i.e. basis functions) to the linear expansion.

For the modified phylogenetic tree with node and distance, we have used sparse function in our program, which generates matrices in the MATLAB sparse storage establishment.

This approach is based on compressive sampling theory [25] [27], which aims to recover a sparse function from much fewer samples than it would be required according to Shannon's sampling theorem.

We approximate the sparse constraint function f(x) by the convex function f ˜ v (x ) = v T h (x ) - f h * (v ), where h(x) is a specific convex function h(x) = x2 and f ℏ * (v ) is the concave dual of the function f ¯ h (v ) (defined as f (v ) = f ¯ h (h (v ) ) ).

The sparse penalty function J h ˜ n has been defined as in (25).

As mentioned previously, subspace methods are inefficient in dealing with sparse transfer function coefficients.

However, subspace-based methods are inefficient for systems with sparse transfer function coefficients since they work on state space models.

That is, for a system with sparse transfer function coefficients, the outcome of subspace methods is one of many (non-sparse) state space realizations (A, B, C, D).

Despite of their good features, subspace methods are not suited for systems with sparse transfer function coefficients since they deal with state space models.

The proposed method leverages reliable system order identification of subspace principle and exploits L1-norm optimization to achieve high effectiveness for identifying systems with sparse transfer function coefficients.

L 0 h ˜ n 0, (19) where ?L 0 >?0 is a regularization parameter and h ˜ n 0 denotes l0-norm sparse penalty function which counts the number of non-zero channel taps of h ˜ n.