The Internet of Things (IoT) holds great promises to provide an edge cutting technology that
enables numerous innovative services related to healthcare, manufacturing, smart cities and …

Edited by the people who were forerunners in creating the field, together with contributions
from 34 leading international experts, this handbook provides the definitive reference on …

In this paper, a fast algorithm for overcomplete sparse decomposition, called SL0, is
proposed. The algorithm is essentially a method for obtaining sparse solutions of …

Sparse signal expansions represent or approximate a signal using a small number of
elements from a large collection of elementary waveforms. Finding the optimal sparse …

The use of compressive sensing in several applications has allowed to capture impressive
results, especially in various applications such as image and video processing and it has …

The K-SVD algorithm is a highly effective method of training overcomplete dictionaries for
sparse signal representation. In this report we discuss an efficient implementation of this …

It is always a primary challenge in fault diagnosis of a wind turbine generator to extract fault
character information under strong noise and nonstationary condition. As a novel signal …

Calcium imaging is a powerful method to record the activity of neural populations in many
species, but inferring spike times from calcium signals is a challenging problem. We …

Sparse signal approximations have become a fundamental tool in signal processing with
wide-ranging applications from source separation to signal acquisition. The ever-growing …

In complex operating conditions, the monitoring signals of mechanical equipment are
susceptible to interference from multiple vibration sources and environmental noise …