Sentence examples for sparsity theory from inspiring English sources

In particular, they transform the energy efficiency maximization problem into a concave-convex functional program based on weighted minimal mean square error technique and group sparsity theory.

Compressed sensing (CS), which is rooted on the principles of sparsity theory, has recently received considerable attention in MIMO radars [19 21].

The selection approach based on the sparsity coding theory achieves the best remote sensing performance with the least number of microphones.

There are some different approaches to track the DOAs of moving sources, such as classical subspace optimization approach, sparsity recovery theory, and adaptive filter method.

This just meets the sparsity requirements of compressive sensing theory.

The implication of sparsity in the novel CS theory is that one can discard the part of the coefficients without much perceptual loss.

Indeed, CS theory takes advantage of sparsity constraint on solution vector to recover a high-dimensional signal from a small set of measurements.

Although every target gets very limited pulses, the sparsity of ISAR images and the theory of CS guarantee effective reconstruction of images.

A nice application of sampling theory and the concept of sparsity is error correction codes for real and complex numbers [105].

Compressed sensing is a novel theory [11, 12] that exploits sparsity to recover signals that have been sampled at a drastically smaller rate than the conventional Shannon/Nyquist theorem imposes.

Here, we proposed a method to evaluate the sparsity degree of the convolved features using entropy theory [27].