A method for automatically aligning consecutive datasets of large, two-dimensional multi-tile electron backscatter diffraction (EBSD) scans with high accuracy was developed. The method involves first locating grain and phase boundaries within search regions containing overlapping data in adjacent scan tiles, and subsequently using cross-correlation algorithms to determine the relative position ...

The Savitzky–Golay (SG) filter design problem is posed as the minimum norm solution of an underdetermined equation system. A unified SG filter design framework encompassing several important applications such as smoothing, differentiation, integration and fractional delay is developed. In addition to the generality and flexibility of the framework, an efficient SG filter implementation structur...

Electrocardiogram (ECG) demonstrates the electrical activity of heart muscles over a period of time. The ECG is one of the extensively used physiological parameters for examination and diagnosis of cardiac diseases. The non-stationary ECG signal often gets contaminated with different noises. Hence, it is required to denoise the signal to provide accurate information to physicians. In this paper...

In this paper, a new filtering method is presented for simultaneous noise reduction and enhancement of signals using a fractal scalar conservation law which is simply the forward heat equation modified by a fractional anti-diffusive term of lower order. This kind of equation has been first introduced by physicists to describe morphodynamics of sand dunes. To evaluate the performance of this new...

Abstract: Biomedical signals are commonly recorded with many kinds of noise. One of these is a waveform of the electrical activity of muscles. This “natural” distortion is usually modelled with a white Gaussian noise. In order to suppress such noise a weighted myriad filter is applied. The weighted myriad filter belongs to a class of non-linear filters and requires knowledge about noise impulsi...

High-quality, normalized differential vegetation index (NDVI) time-series data are fundamental for environmental remote sensing applications; however, their quality is often influenced by complicated factors such as atmospheric aerosols and cloud coverage. Hence, in the current study, a robust reconstruction method based on envelope detection Savitzky-Golay filter (ED-SG) was developed to reduc...

Copy number variation (CNV) is a form of structural in the human genome that provides medical insight into complex diseases; while whole-genome sequencing becoming more affordable, whole-exome (WES) remains an important tool clinical diagnostics. Because its discontinuous nature and unique characteristics sparse target-enrichment-based WES data, analysis detection CNV peaks remain difficult tas...

In recent years, the application of Deep Neural Networks to gas recognition has been developing. The classification performance Network depends on efficient representation input data samples. Therefore, a variety filtering methods are firstly adopted smooth filter sensing response data, which can remove redundant information and greatly improve classifier. Additionally, optimization experiment ...

Oil price forecasting has received a great deal of attention from practitioners and researchers alike, but it remains difficult topic because its dependency on variety factors, including the economic cycle, international relations, geopolitics. Forecasting oil is gratifying task. Motivated by this issue, we present robust model for accurate crude using ARIMA Prophet models based machine learnin...