This paper investigates an improved noise reduction method and its application on gearbox vibration signal de-noising. A hybrid de-noising algorithm based on local mean decomposition (LMD), sample entropy (SE), and time-frequency peak filtering (TFPF) is proposed. TFPF is a classical filter method in the time-frequency domain. However, there is a contradiction in TFPF, i.e., a good preservation...

Interference or Noise is the major issue in any communication system. It has been used LMS and NLMS adaptive filters to de-noise the noisy signal and compare with the performance of these filters. Adaptive algorithms are the most effective and elementary. This paper investigates the noise cancellation capabilities of the adaptive filters.

The speckle effect inevitably exists in the image of the Synthetic Aperture Radar (SAR). The removal of the speckle noise is the necessary approach before automatic partition, classification, target detection and abstraction of other quantitative special information in the SAR image, so it is very meaningful to eliminate or furthest restrain the speckle noises when the spatial resolution of the...

PERFORMANCE COMPARISON BETWEEN FILTERS AND WAVELET TRANSFORM IN IMAGE DENOISING FOR DIFFERENT NOISES Bobby1 and Manish Mahajan2 Research Scholar (M. Tech.), Information Technology Department, Chandigarh Engineering College Landran, Mohali, Punjab, India. E-mail: [email protected] 2Assistant Professor Supervisor, Information Technology Department, Chandigarh Engineering College Landran, Moh...

A wireless e-nose network system is developed for the special purpose of monitoring odorant gases and accurately estimating odor strength in and around livestock farms. This system is to simultaneously acquire accurate odor strength values remotely at various locations, where each node is an e-nose that includes four metal-oxide semiconductor (MOS) gas sensors. A modified Kalman filtering techn...

Bilateral filtering has gained a high awareness level in medical image processing and non-destructive testing. Bilateral filtering method is that it allows for considering both the spatial locality and neighbouring points with similar amplitudes at the same time which make it can better preserving the image edges and textures than the conventional linear filtering algorithms. This paper illustr...

Digital filtering technique is of great significance in real-time signal processing and analysis, but the stability, efficiency flexibility filter algorithm are important indicators to reflect its application value. In this paper, an adaptive derivative transformation based on Savitzky-Golay was proposed for laser absorption spectroscopy analysis. To demonstrate analysis algorithm, first-order ...

Data noising is an effective technique for regularizing neural network models. While noising is widely adopted in application domains such as vision and speech, commonly used noising primitives have not been developed for discrete sequencelevel settings such as language modeling. In this paper, we derive a connection between input noising in neural network language models and smoothing in ngram...