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It consists of a nonlinear map on the amplitude-HRRPs for noise suppression and target return enhancement followed by a modified cross -correlation integrator.
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echo return loss enhancement.
Finally, the performance of the proposed algorithms is tested using the echo return loss enhancement (ERLE) metric.
Next, two objective measures, namely, echo return loss enhancement (ERLE) and signal-to-distortion ratio (SDR) are employed.
Also, to measure the effectiveness of the proposed algorithms, we have computed the echo return loss enhancement (ERLE).
For the assessment, two measures have been considered, the echo return loss enhancement (ERLE) and the normalized system misalignment (NMA).
The performance of the approach was measured in terms of echo return loss enhancement (ERLE) and speech attenuation (SA), which are defined in [13].
In this Section, the results of PC simulations under ideal acoustic conditions are shown in terms of echo return loss enhancement (ERLE).
Numerical examples demonstrate that the proposed schemes significantly improve the convergence behavior compared with conventional methods in terms of system mismatch as well as echo return loss enhancement (ERLE).
For a recorded female speech signal (commercial smartphone placed on a table with display facing the desk) in a medium-size room with moderate background noise (SNR ≈40 dB), the NLMS algorithm (length-256 FIR filter at 16 kHz) achieved an average echo return loss enhancement (ERLE) of 8.2 dB in a time interval of 9 s [19].
The echo cancellation performance is evaluated using the echo return loss enhancement (ERLE) [2], which is defined as text{ERLE}(n) = 10 cdot log_{10} frac{E left[ d^{2}(n) right] } { E left[ left(d(n) - hat{d}(n) right)^{2} right] }, (38).
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