Abstract Blind source separation (BSS) is a research hotspot in the field of signal processing. This scheme widely applied to separate group signals from given set observations or mixed signals. In present study, Savitzky-Golay filter smooth signals, adopt simplified cost function based on noise ratio (SNR) and obtain demixing matrix accordingly. To this end, generalized eigenvalue problem solv...

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 ...

this article presents a new subspace-based technique for reducing the noise ofsignals in time-series. in the proposed approach, the signal is initially representedas a data matrix. then using singular value decomposition (svd), noisy datamatrix is divided into signal subspace and noise subspace. in this subspace division,each derivative of the singular values with respect to rank order is used ...

Oil palm is an important crop that generates high income to Malaysia. However, the oil susceptible Ganoderma infection reduces productivity of palm. Conventional ground-based disease detection laborious and costly. Therefore, airborne remote sensing technology coupled with ground provides a more effective control disease. Airborne hyperspectral utilizes narrow contiguous bands assist in disease...

The Savitzky-Golay (SG) filter is widely used to smooth and differentiate time series, especially biomedical data. However, time series that exhibit abrupt departures from their typical trends, such as sharp waves or steps, which are of physiological interest, tend to be oversmoothed by the SG filter. Hence, the SG filter tends to systematically underestimate physiological parameters in certain...