Nowadays, a large amount of information has to be transmitted or processed. This implies
high-power processing, large memory density, and increased energy consumption. In …

As a paradigm to recover the sparse signal from a small set of linear measurements,
compressed sensing (CS) has stimulated a great deal of interest in recent years. In order to …

信号采样是联系模拟信源和数字信息的桥梁. 人们对信息的巨量需求造成了信号采样,
传输和存储的巨大压力. 如何缓解这种压力又能有效提取承载在信号中的有用信息是信号与信息 …

This tutorial text gives a unifying perspective on machine learning by covering both
probabilistic and deterministic approaches-which are based on optimization techniques …

The year 2015 marks the 30th birthday of DC (Difference of Convex functions) programming
and DCA (DC Algorithms) which constitute the backbone of nonconvex programming and …

Heart rate monitoring using wrist-type photoplethysmographic signals during subjects'
intensive exercise is a difficult problem, since the signals are contaminated by extremely …

The special importance of L 1/2 regularization has been recognized in recent studies on
sparse modeling (particularly on compressed sensing). The L 1/2 regularization, however …

Compressed sensing (CS) is an emerging field that has attracted considerable research
interest over the past few years. Previous review articles in CS limit their scope to standard …

Abstract Direction-of-arrival (DOA) estimation refers to the process of retrieving the direction
information of several electromagnetic waves/sources from the outputs of a number of …

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 …