Abstract In view of the bad operation environment large motor, which often suffers from various strong noise interference, partial discharge ultrasonic signal is annihilated, makes it difficult to detect and analyse. A de-noising method based on generalized minimax concavity (GMC) wavelet for (PD) proposed. GMC used enhance sparsity PD eliminate high-frequency at same time. Then residual sparse...

We present a novel signal de-noising algorithm for recovery of signals corrupted by a high levels of noise and applicable in the situations of low sampling rates. This method uses a modi cation of kernel partial least squares regression (KPLS) de ned in reproducing kernel Hilbert space [1]. We treat signal de-noising as a regression problem, in which de-noising consists of estimation of functio...

With the increasing demands of precise positioning in weak signal environment, high sensitive GNSS receiver research and development has been pushed badly in need. Conventional GNSS signal acquisition techniques are considered inadequate when the incoming signal is too weak. In this paper we have mainly consider wavelet denoising algorithm applying in weak GNSS signal acquisition. Conventional ...

To efficiently eliminate the noise generated by triaxial accelerometer when collecting pigs’ behavioural data, this paper adopted SNR and MSE as indexes to evaluate de-noising effect of acceleration signal under various combinations wavelet basis, decomposition layer, threshold rule function. Based on optimal parameter combinations, de-noised data were divided into a training dataset test condu...

<span id="docs-internal-guid-0cd3701c-7fff-a024-86c4-cd67dde5c463"><span>In general, mammogram images contaminated with noise which directly affect quality. Several methods have been proposed to de-noise these images, however, there is always a risk of losing valuable information. In order overcome the loss information, present study hybrid denoising method for images. The works in ...

An electroencephalogram (EEG) is a recording of various frequencies electrical activity in the brain. EEG signal very useful for diagnosis brain related diseases at early stage to prevent severe issues which may lead loss life. The raw captured through leads contain different type noises not susceptible diagnosis. In this paper, an efficient algorithm proposed process combat noise. To obtain no...

in this paper, an efficient algorithm is proposed for detection of vertical root fractures (vrfs) in periapical (pa), and cone-beam computed tomography (cbct) radiographs of nonendodontically treated premolar teeth. pa and cbct images are divided into some sub-categories based on the fracture space between the two fragments as small, medium, and large for pas and large for cbcts. these graphics...