Sentence examples for study of sparse from inspiring English sources

The recent vibrant study of sparse representation and compressive sensing has led to numerous groundbreaking results in signal processing and machine learning.

In the case study of sparse reconstruction, the measurement error term and the sparsity term are optimized by multi-objective evolutionary algorithms, which aims at balancing the trade-off between enforcing sparsity and reducing measurement error.

However, it seems that there is a vacant study of sparse solutions for NCPs.

The purpose of this article is to present a comparative study of sparse greedy algorithms that were separately introduced in speech and audio research communities.

Studies of sparse coding have shown that the sparseness seems to play a key role in learning useful features [ 30, 31].

Two case studies of sparse reconstruction and change detection are implemented.

There have been a number of studies on sparse signal recovery from one-bit quantized measurements.

In addition, the reconstruction algorithm study of such sparse signal with specific structure is of great significance to many realistic problems.

This article addresses the spectrum efficiency study of nested sparse sampling and coprime sampling in the estimation of power spectral density for QPSK signal.

Rural and remote areas are often not studied because of sparse population and lack of monitoring data.

Then, an extension of this study to sparse image representation and lossy coding contexts has been presented in [23].