Reviews a significant component of the rich field of statistical multiresolution (MR) modeling
and processing. These MR methods have found application and permeated the literature of …

In this paper, we discuss the compression of waveforms obtained from measurements of
power system quantities and analyze the reasons why its importance is growing with the …

We present a source localization method based on a sparse representation of sensor
measurements with an overcomplete basis composed of samples from the array manifold …

Standard-setting, groundbreaking, authoritative, comprehensive—these often overused
words perfectly describe The Circuits and Filters Handbook, Third Edition. This standard …

Electrical load disaggregation for end-use recognition in the smart home has become an
area of study of its own right. The most well-known examples are energy monitoring, health …

This paper presents a novel approach to image denoising using adaptive principal
components. Our assumptions are that the image is corrupted by additive white Gaussian …

This paper proposes a wavelet-based data compression approach for the smart grid (SG). In
particular, wavelet transform (WT)-based multiresolution analysis (MRA), as well as its …

In this paper, a novel multiple target localization approach is proposed by exploiting the
compressive sensing theory, which indicates that sparse or compressible signals can be …

Nonlinear filtering techniques based on the theory of robust estimation are introduced. Some
deterministic and asymptotic properties are derived. The proposed denoising methods are …

十年来, 作为小波理论与应用的重要分支, 小波滤波得到了很大的发展, 标志着一种新的信号滤波
方法的出现. 本书是一本全面系统总结该领域研究成果和前沿进展的学术专著 …