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Wavelets, generalized white noise and fractional integration: The synthesis of fractional Brownian motion
      
However, unlike the values of f(n)(t0), the values of the chromatic derivatives Kn[f](t0) can be obtained in a noise robust way from sufficiently dense samples of f(t).
      
This receiver simultaneously combats multipleaccess interference (MAI) and non-Gaussian impulsive noise.
      
This paper studies the characteristics of this type of image with complex shape target or noise and presents an improved Snake algorithm.
      
The simulation results indicate that the new Snake model greatly decreases the dependence on the Snake point's initial position and effectively overcomes noise influence.
      
Fast identification of digital amplitude modulation level at low signal-to-noise ratio
      
In speech signal processing systems, frame-energy based voice activity detection (VAD) method may be interfered with the background noise and non-stationary characteristic of the frame-energy in voice segment.
      
The experiment results show that the realization of thermal isolation structure in substrate-free FPA increases the temperature rise of the deflecting leg effectively, whereas the noise equivalent temperature difference (NETD) is about 200 mK.
      
Topology, randomness and noise in process calculus
      
The text area was extracted after preprocessing such as skew correction and marginal noise removal.
      
The system is also robust to noise due to its notes and complex layouts, etc.
      
The group decision algorithm on the GLRT principle was utilized to estimate the correlation template through all data frames in detection windows and could offer better noise suppression.
      
Simulation results reveal that the AR scheme with its decision algorithm outperforms the conventional and other modified TR schemes in generalized signal-to-noise ratio (SNR).
      
According to the introduction of new diffusion term, this model can not only remove noise but also enhance edges and keep their locality.
      
For traditional attacks, such as JPEG compression, added noise and filtering, the similarities are all above 0.95.
      
Moreover, it can tolerate some distortions produced by compression, filtration and noise degradation.
      
Methods of computer vision, image processing and wavelet analysis technology were used to compress, filter, segment, abate noise and capture the outline of the picture.
      
Errors in the derivatives between the smooth unknown function and the approximate function are obtained, which depend on the mesh size of the grid and the noise level in the data.
      
Fractional generalized Lévy random fields as white noise functionals
      
In this paper, we construct the fractional generalized Lévy random fields (FGLRF) as tempered white noise functionals.
      
 

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