Two recursive least-squares (RLS) adaptive filtering algorithms are most often used in practice, the exponential and sliding (rectangular) window RLS algorithms. This popularity is mainly due to existence of low-complexity versions these However, two windows not always best choice for identification fast time-varying systems, when performance important. In this paper, we show how with arbitrary...

We describe a method for local time-adaptation of the spectrogram of audio signals: it is based on the decomposition of a signal within a Gabor multi-frame of raised cosine windows through the STFT operator. The sparsity of the analyses in every single frame of the multiframe is evaluated through the Rényi entropies measures. We give an analytical expression for the entropy of the spectrogram o...

This is directly applicable to a scalar signal (such as “number of respiratory cases today”. This method, more commonly used in computational finance, simply compares the count during the current time period with the weighted average of the counts of recent days. Exponential weighting is typically used, where the half-life is known as the “time window” parameter. This time-window parameter is t...

Myocardial perfusion SPECT imaging with Tc99m-sestamibi is the most accurate non-invasive means of detecting coronary artery disease and assessing the severity of perfusion abnormalities in the patients with coronary stenosis. Though simple and straight forward the results produced by the technique is very much affected by the details being used. One of the main problems with the test, wh...

BACKGROUND AND OBJECTIVES Turner and colleagues introduced a new method that can detect tinnitus in animals. The stimulus is composed of a small background noise that is identical to the pitch of the tinnitus and a large pulse noise that can evoke a startle response. In normal rats, the gap decreases the startle reflex. However, in tinnitus rats, the gap does not decrease the startle reflex. Th...