Results 11 to 20 of about 656,594 (178)
Fast Poisson Noise Removal by Biorthogonal Haar Domain Hypothesis Testing
, 2008 Methods based on hypothesis tests (HTs) in the Haar domain are widely used to denoise Poisson count data. Facing large datasets or real-time applications, Haar-based denoisers have to use the decimated transform to meet limited-memory or computation-time
Digel, Seth W. +3 more
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A nonlinear variational method for signal segmentation and reconstruction using level set algorithm
, 2006 A nonlinear functional is considered in this letter for segmentation and noise removal of piecewise continuous signals containing binary information contaminated with Gaussian noise.
Mahmoodi, Sasan, Sharif, Bayan
core +1 more source
On a Modified Diffusion Model for Noise Removal [PDF]
Journal of Algorithms & Computational Technology, 2012 The anisotropic diffusion model plays an important role on image denoising and some other applications, such as image enhancement, image inpainting. In this paper, drawbacks of the anisotropic diffusion model and the fourth-order PDE model are discussed and examined.
Meiqing Wang +3 more
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Add noise to remove noise: Local differential privacy for feature selection
Computers & Security, 2022 Feature selection has become significantly important for data analysis. It selects the most informative features describing the data to filter out the noise, complexity, and over-fitting caused by less relevant features. Accordingly, feature selection improves the predictors’ accuracy, enables them to be trained faster and more cost-effectively, and ...
Mina Alishahi +2 more
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Experimental Demonstration of Time-Delay Interferometry for the Laser Interferometer Space Antenna
, 2010 We report on the first demonstration of time-delay interferometry (TDI) for LISA, the Laser Interferometer Space Antenna. TDI was implemented in a laboratory experiment designed to mimic the noise couplings that will occur in LISA.
Brent Ware +8 more
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Removing the Noise from Chaos Plus Noise [PDF]
, 2001 The problem of extracting a “signal” xn generated by a dynamical system from a time series yn = xn + en, where en is an observational error, is considered. It is shown that consistent signal extraction is impossible when the errors are distributed according to a density with unbounded support, and the underlying dynamical system admits bomoclinic pairs.
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MACROECONOMIC NOISE REMOVAL ALGORITHM (MARINER)
Technological and Economic Development of Economy, 2017 Standard econometric filters fail to extract explicit trend component from macroeconomic data series. Isolated cycles provide no economic interpretation of the extracted component. Adding new data to the sample (filtering) period results in instability of extracted components.
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Innovative Demodulation Scheme for Coherent Detectors in CMB Experiments
, 2012 We propose an innovative demodulation scheme for coherent detectors used in cosmic microwave background polarization experiments. Removal of non-white noise, e.g., narrow-band noise, in detectors is one of the key requirements for the experiments.
Chinone, Y. +5 more
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Instantaneous noise-based logic
, 2010 We show two universal, Boolean, deterministic logic schemes based on binary noise timefunctions that can be realized without time-averaging units. The first scheme is based on a new bipolar random telegraph wave scheme and the second one makes use of the
Khatri, Sunil +2 more
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Noise removal at the rod synapse of mammalian retina [PDF]
Visual Neuroscience, 1998 Mammalian rods respond to single photons with a hyperpolarization of about 1 mV which is accompanied by continuous noise. Since the mammalian rod bipolar cell collects signals from 20–100 rods, the noise from the converging rods would overwhelm the single-photon signal from one rod at scotopic intensities (starlight) if the bipolar cell summed ...
van Rossum, Mark, Smith, Robert
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