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Books > Science & Mathematics > Physics > Classical mechanics > Sound, vibration & waves (acoustics)
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Adaptive Filtering - Algorithms and Practical Implementation (Hardcover, 1997 ed.)
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Adaptive Filtering - Algorithms and Practical Implementation (Hardcover, 1997 ed.)
Series: The Springer International Series in Engineering and Computer Science, 399
Expected to ship within 10 - 15 working days
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The field of Digital Signal Processing has developed so fast in the
last two decades that it can be found in the graduate and
undergraduate programs of most universities. This development is
related to the growing available techno logies for implementing
digital signal processing algorithms. The tremendous growth of
development in the digital signal processing area has turned some
of its specialized areas into fields themselves. If accurate
information of the signals to be processed is available, the
designer can easily choose the most appropriate algorithm to
process the signal. When dealing with signals whose statistical
properties are unknown, fixed algorithms do not process these
signals efficiently. The solution is to use an adaptive filter that
automatically changes its characteristics by optimizing the
internal parameters. The adaptive filtering algorithms are
essential in many statistical signal processing applications.
Although the field of adaptive signal processing has been subject
of research for over three decades, it was in the eighties that a
major growth occurred in research and applications. Two main
reasons can be credited to this growth, the availability of
implementation tools and the appearance of early textbooks exposing
the subject in an organized form. Presently, there is still a lot
of activities going on in the area of adaptive filtering. In spite
of that, the theor etical development in the
linear-adaptive-filtering area reached a maturity that justifies a
text treating the various methods in a unified way, emphasizing the
algorithms that work well in practical implementation."
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