Sentence examples for based periodicity detection method from inspiring English sources

An clustering method 1 and an AR (autoregression) model based periodicity detection method 8 are developed to be special for small sampled data.

A periodicity detection method based on singular value decomposition (SVD) is used to choose the appropriate scale for the wavelet transform.

Here we demonstrate the performance of the algorithm for small-sample time series data through a comparison with conventional and newly proposed periodicity detection methods based on a statistical analysis of the power of harmonics.

Most of these data, which are observed using DNA microarrays, consist of few sampling points in time, but most periodicity detection methods require a relatively large number of sampling points.

We tested the robustness against noise of the five periodicity detection methods, namely the quantile method, Dixon's Q test, Ahdesmäki's method, the piccolo/B and the piccolo method, using simulation data consisting of one or two harmonic signals and log-normal noise.

This paper proposes a frontend processing technique that employs a speech feature extraction method called Subband based Periodicity and Aperiodicity DEcomposition (SPADE), and examines its validity for automatic speech recognition in noisy environments.

This front end feature processing technique employs Equivalent Rectangular Bandwidth (ERB) filter like wavelet speech feature extraction method called Wavelet ERB Sub-band based Periodicity and Aperiodicity Decomposition (WERB-SPADE).

This paper presents a functional observer based fault detection method.

We implemented the CNN based detection method in MATLAB 2016b (The MathWorks, Natick, MA) with MatConvNet56 1.0-beta23.

In this paper, a correlation based detection method is used.

Time interval = 20 min. Organs were tracked automatically using signal intensity profiles of cell membranes based on a peak detection method.