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All methods useable with inverse filtering can be modified based on the
observation that late in the impulse response, the damped modes have died
away, and the least-damped modes dominate. Therefore, by discarding
initial impulse-response data, the problem in some sense becomes ``easier''
at the price of working closer to the noise floor. This technique is most
appropriate in conjunction with the inverse filtering method for mode
extraction (discussed below), since for subtraction, the modal impulse
response must be extrapolated back to the beginning of the data record.
However, methods used to compute the filter numerator in variations on
Prony's method can be used to scale and phase-align a mode for subtraction
[432,299].
One simple approximate technique based on looking only at the late
impulse response is to take a zero-padded FFT of the latest
Hanning-windowed data segment. The least-damped modes should give
very clearly dominant peaks in the FFT magnitude data. As discussed
above, the peak(s) can be interpolated to estimate the mode resonance
frequency, and the bandwidth can be measured to determine the
time-constant of decay. Alternatively, the time-constant of decay can
be measured in the time domain by measuring the decay slope of the log
amplitude envelope across the segment (this time using a rectangular
window). Since the least-damped mode is assumed to be isolated in the
late decay, it is easy to form a pitch-synchronous amplitude envelope.
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