Typical EMG amplitude estimators use a fixed window length for smoothing the amplitude estimate. When the EMG amplitude is dynamic, varying the smoothing length as a function of time can produce a higher quality amplitude estimate. This paper develops and investigates (in simulation and experimentally) a new technique for adaptive window length estimation. The simulations suggest that the "best...

The short-time Fourier transform and the corresponding periodogram give biased estimates of the instantaneous frequency (IF) if the IF in question is a nonlinear function of time. In the case of noisy signals, the optimal choice of the window length, based on asymptotic formulae for the variance and bias, can resolve the bias—variance trade-off usual for nonparametric estimation. However, the p...

The optimal window, the time limited sequence whose energy is most concentrated in a nite frequency interval is related to a particular discrete prolate spheroidal sequence. The optimal window is actually a family of windows with many degrees of freedom. The Kaiser window is an approximation to this optimal window. Kaiser used this approximation because the standard method employed to compute t...

A crucial problem for the overall performance of steady-state visual evoked potentials (SSVEP)-based brain computer interface (BCIs) is the right choice of the time-window length since a large window results in a higher accuracy but longer detection time, making the system impractical. This paper proposes an adaptive time window length to improve the system performance based on the subject’s on...

The performance of gene prediction programs strongly depends on the methods that they use to locate splice sites. Different pattern recognition techniques are available to assess the quality of candidate splice sites, see [1] for an overview and further references. All of these techniques proceed by computing a score derived from the distribution of the nucleotides in the neighbourhood of a spl...

An efficient method for the design of nonrecursive digital filters using the ultraspherical window function is proposed. Economies in computation are achieved in two ways. First, through an efficient formulation of the window coefficients, the amount of computation required is reduced to a small fraction of that required by standard methods. Second, the filter length and the independent window ...

BACKGROUND Using electronic health records data to predict events and onset of diseases is increasingly common. Relatively little is known, although, about the tradeoffs between data requirements and model utility. METHODS AND RESULTS We examined the performance of machine learning models trained to detect prediagnostic heart failure in primary care patients using longitudinal electronic heal...

The goal of expert-finding is to retrieve a ranked list of people as a response to a user query. Some models that proved to be very successful used the idea of association discovery in a window of text rather than the whole document. So far, all these studies only considered fixed window sizes. We propose an adaptive window-size approach for expert-finding. For this work we use some of the docu...

This paper examines truncated window decorrelators for an asynchronous DS/CDMA system supporting users transmitting at different bit rates. We decode a user by extending the observation window over sufficient number of its bits. To characterize practical window sizes, simple upper and lower bounds for the asymptotic efficiency of both the truncated window and infinite window decorrelators are d...

This paper describes the results of a study on the influence of smoothing window length on the signal-to-noise ratio (SNR) of electromyogram (EMG) amplitude estimates. In a previous experiment, surface EMG waveforms were recorded for non-fatiguing, constant-force, isometric contraction of the biceps and triceps muscles. Based on these data, four different EMG processors were studied using smoot...