Mean square cross error: performance analysis and applications in non-Gaussian signal processing
Abstract
Most of the cost functions of adaptive filtering algorithms include the square error, which depends on the current error signal. When the additive noise is impulsive, we can expect that the square error will be very large. By contrast, the cross error, which is the correlation of the error signal and its delay, may be very small. Based on this fact, we propose a new cost function called the mean square cross error for adaptive filters, and...
Paper Details
Title
Mean square cross error: performance analysis and applications in non-Gaussian signal processing
Published Date
May 20, 2021
Volume
2021
Issue
1
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