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Adaptive Signal Processing, Next-Generation Solutions,2010
Adaptive filters play a very important role in most of today’s signal processing and
control applications as most real-world signals require processing under conditions
that are difficult to specify a priori. They have been successfully applied in such
diverse fields as communications, control, radar, and biomedical engineering,
among others. The field of classical adaptive filtering is now well established and a
number of key references—a widely used one being the book Adaptive Filter
Theory by Simon Haykin—provide a comprehensive treatment of the theory and
applications of adaptive filtering.
A number of recent developments in the field, however, have demonstrated how
significant performance gains could be achieved beyond those obtained using the
standard adaptive filtering approaches. To this end, those recent developments have
propelled us to think in terms of a new generation of adaptive signal processing
algorithms.
As data now come in a multitude of forms originating from different applications
and environments, we now have to account for the characteristics of real life data:
† Non-Gaussianity;
† Noncircularity;
† Nonstationarity; and
† Nonlinearity.
Such data would typically exhibit a rich underlying structure and demand the
development of new tools, hence, the writing of this new book.
2019-01-10
Frequency Diverse Array Receiver Architectures
Frequency Diverse Array Receiver Architectures 讲FDA的比较完整的电子书
2016-02-25
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