Abstract. Displacement monitoring is a critical control for risks associated with potentially sudden slope failures. Instrument measurements are, however, obscured by the presence of scatter. Data filtering methods aim to reduce scatter and therefore enhance performance early warning systems (EWSs). The effectiveness EWSs depends on lag time between onset acceleration its detection system such ...

Vertical handoff is of great significance to achieve seamless connectivity in heterogeneous networks. It is necessary to enhance the location awareness of the mobile station (MS) as well as to reduce the adverse effect of fading so that it is able to predict future network conditions accurately. An optimal Savitzky-Golay filtering based vertical handoff algorithm is adopted in this essay, which...

The paper presents a new algorithm for ECG signal compression based on local extreme extraction, adaptive hysteretic filtering and LZW coding. Basically the method consists in smoothing the ECG signal with a Savitzky-Golay filter, extraction of the local minima and maxima, a hysteretic filtering and LZW coding. The reconstruction of the ECG signal is done by cubic interpolation. The algorithm i...

Impedance microfluidic cytometry is a noninvasive, label-free technology that can characterize the dielectric properties of single particles (beads/cells) at high speed. In this paper we show how digital signal processing methods are applied to the impedance signals for noise removal and signal recovery in an impedance microfluidic cytometry. Two methods are used; correlation to identify typica...

Speech denoising is the process of removing unwanted sounds from the speech signal. In the presence of noise, it is difficult for the listener to understand the message of the speech signal. Also, the presence of noise in speech signal will degrade the performance of various signal processing tasks like speech recognition, speaker recognition, speaker verification etc. Many methods have been wi...