This paper describes a method for the "Analysis and Prediction of Performance for Evolving Architectures" (APPEAR). The method aims at performance estimation of adapted ...
Evgeni M. Eskenazi, Alexandre V. Fioukov, Dieter K...
We present a novel approach to represent transients using spectral-domain amplitude-modulated/frequency-modulated (AM-FM) functions. The model is applied to the real and imaginary...
Although noise PSD estimation is a crucial part of noise reduction algorithms, most noise PSD estimators have problems in tracking non-stationary noise sources. Recently, a noise ...
Richard C. Hendriks, Richard Heusdens, Jesper Jens...
Learning Classifier Systems differ from many other classification techniques, in that new rules are constantly discovered and evaluated. This feature of LCS gives rise to an im...
Examining the validity or accuracy of proposed available bandwidth estimation tools remains a challenging problem. A common approach consists of evaluating a newly developed tool ...