Many engineers, working in the field of automotive control systems and mechatronics, as
well as lecturing at technical universities, will welcome this book. It gives a broad insight …

This second edition of Adaptive Filters: Theory and Applications has been updated
throughout to reflect the latest developments in this field; notably an increased coverage …

We formulate and study distributed estimation algorithms based on diffusion protocols to
implement cooperation among individual adaptive nodes. The individual nodes are …

Algorithms for data-driven learning of domain-specific overcomplete dictionaries are
developed to obtain maximum likelihood and maximum a posteriori dictionary estimates …

We study the problem of distributed estimation over adaptive networks where a collection of
nodes are required to estimate in a collaborative manner some parameter of interest from …

Adaptive filtering algorithms fall into four main groups: recursive least squares (RLS)
algorithms and the corresponding fast versions; QR-and inverse QR-least squares …

A realistic and comprehensive review of joint approaches to machine learning and signal
processing algorithms, with application to communications, multimedia, and biomedical …

Improving time series forecasting accuracy has received considerable attention in recent
years. This paper presents a new hybrid evolutionary algorithm for determining both …

The sequential partial-update least mean square (S-LMS)-based algorithms are efficient
methods for reducing the arithmetic complexity in adaptive system identification and other …

A review of adaptive detection techniques for direct-sequence code division multiple access
(CDMA) signals is given. The goal is to improve CDMA system performance and capacity by …