Aiming at the problem that frequency offset in non-cooperative communication system causes received signal spectrum to shift, which exceeds passband of matched filter and affects subsequent demodulation, a parameter estimation detection algorithm based on adaptive capture is proposed by this paper, more convenient for hardware implementation consumes less resources. The divided into three parts...

Valves are widely used in industrial and domestic pipeline systems. However, during their operation, they may suffer from the occurrence of cavitation, which can cause loud noise, vibration damage to internal components valve. Therefore, monitoring flow status inside valves is significantly beneficial prevent additional cost induced by cavitation. In this paper, a novel acoustic signal cavitati...

In the presence of main lobe jamming, performance modern radar system would degrade significantly. this study, a blind source separation (BSS) method based on an Adaptive Opposite Fireworks Algorithm (AOFWA) is proposed to address problem ineffective target echo detection when subjected jamming. First, signal model for BSS applied in anti-main jamming provided, and number signals estimated. The...

We have developed the effective algorithm for detecting digital binary phase-shift keyed signals. This algorithm requires a small number of arithmetic operations over the signal period. It can be relatively easy implemented based on the modern programmable logic devices. It also provides high interference immunity by identifying signal presence when signal-to-noise ratio is much less that its w...

The effect of measurement errors on adaptive and non-adaptive control charts has been occasionally considered by researchers throughout the years. However, that effect on the variable sample size and sampling interval (VSSI) control charts has not so far been investigated. In this paper, we evaluate the effect of measurement errors on the VSSI control charts. After a model development, the effe...

Brain activation studies based on PET or fMRI seek to explore neuroscience questions by statistically analyzing the acquired images to produce statistical parametric images (SPIs). An increasingly wide range of univariate and multivariate analysis techniques are used to generate SPIs in order to detect mean-signal activations and/or long-range spatial interactions. However, little is known abou...

Beat detection is a basic and fundamental step in electrocardiogram (ECG) processing. In many ECG applications strong artifacts from biological or technical sources could appear and cause distortion of ECG signals. Beat detection algorithm desired property is to avoid these distortions and detect beats in any situation. Our developed method is an extension of Christov's beat detection algorithm...

The mbuston scheme is a novel reduced-detail paradigm for nonstationary signal modelinglprocessing with enhanced statistical stability. Here, we apply the robuston scheme to the problem of detecting a nonstationary random signal in white Gaussian noise. We propose two different “robuston detectors” along with signal-adaptive online implementations that perform online estimation of the signal st...