After a review of the circle fitting issue, we recall a relatively unknown method derived from a classical geometric result. We propose an improvement of this technique by reweighting the data, iterating the procedure, and choosing at every step as the new inversion point the one diametrically opposite to the previous inversion point.
The goal of this paper is to introduce the joined LMS and LMF adaptive algorithm (LMFSF) for data echo cancellation. The idea is to use an error estimate as smooth as possible, and after comparison with the selected thresholds to decide whether for the next step we apply LMS or LMF. In order to avoid oscillations from LMS to LMF and back, we use two… (More)
— The goal of this paper is to present a novel variable length LMS (Least Mean Square) algorithm , in which the length of the adaptive filter is always a power of two and it is modified using an error estimate. Unlike former variable length stochas-tic gradient adaptive techniques, the proposed algorithm works in non-stationary situations. The… (More)
In this paper we evaluate the effect of the emotional state of a speaker when text-independent speaker identification is performed. The spectral features used for speaker recognition are the Mel-frequency cepstral coefficients, while for the training of the speaker models and testing the system the Gaussian Mixture Models are employed. The tests are… (More)
BACKGROUND Up to 20% of US military personnel deployed to Iraq or Afghanistan experience mild traumatic brain injury (mTBI) while deployed; up to one-third will experience persistent post-concussive symptoms (PCS). The objective of this study was to examine the epidemiology of deployment-related mTBI and its relationship to PCS and mental health problems… (More)