مشاهده مشخصات مقاله
Deconvolution of Non-Minimum Phase FIR Systems Using Adaptive Filtering
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نویسنده (ها) |
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
We address, in this paper, the problem of estimating
the input sequence of a known, non-minimum phase,
FIR system, when a large number of its roots are
located near or on the unit circle. This issue cannot be
solved by conventional methods known to date.
Recently, algorithms based on spectral factorization
are considered as possible solutions of inversing nonminimum
phase systems but, these techniques cannot
prohibit the instability of the systems whose roots are
located on the unit circle. We propose an alternative
method based on adaptive filtering resulted from a new
point of view of the deconvolution problem that avoids
inversing the system. The LMS adaptive filter is used to
meet our objective while faster implementation than
optimization-based techniques, be it gradient based or
genetic, is achieved. Moreover, the technique is
validated by experimental results, in simulated cases,
which are mainly focused on large sequence of signals
in noisy conditions. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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