Audio Data Corrupted with White Noise
Noise Standard Deviation Estimation for Additive White Gaussian Noise Corrupted Images using SVD Domain
... the noise standard deviation. Noise occurs when scanning the drawn image for making the cartoon ...the noise to the extent of the problem and it helps cartoon related noise ...of noise ...
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REVIEW AND OVERVIEW ON SEGMENTATION OF NOISE CORRUPTED IMAGES
... images corrupted with a low level of Salt-and-Pepper ...of noise sensitivity in the segmentation process and to increase the robustness of the clustering algorithms with respect to ...input data and ...
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Restoration of Color Image Corrupted by Gaussian Noise
... Section IV: Method for parameter (p) estimation [7]: The method for estimating the optimal parameter value is done, when only noisy data are available and the amount of noise corruption is unknown. Our ...
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An adaptive noise removal approach for restoration of digital images corrupted by multimodal noise
... diffusion noise removal strategy has been initially proposed by Perona and Malik in [3] where the data smoothing has been formulated based on the principles associated with the heat diffusion ...concept, ...
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Single-channel enhancement of speech corrupted by reverberation and noise
... 5.5 Uncertainty among listeners As highlighted in [146], the variance of the SRT and slope estimates in real psychophysical experiments is much larger than that typically observed in simulations. Also, in such ...
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Single-Channel Online Enhancement of Speech Corrupted by Reverberation and Noise
... Mike Brookes (M’88) received the Graduate degree in mathematics from Cambridge University, Cam- bridge, U.K., in 1972. He is currently a Reader (As- sociate Professor) in signal processing at the Depart- ment of ...
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ANN Implementation for Classification of Noisy Numeral Corrupted By Salt and Pepper Noise
... or data classification, through a learning ...imprecise data, can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer ...
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A Fuzzy Switching Filter for Enhancing Digital Images Corrupted by Impulse Noise
... Impulse noise is caused by malfunctioning pixels in camera sensors, dead pixels, faulty memory locations in hardware, erroneous transmission in a channel, analog to digital converter, malfunctioning CCD elements ...
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Novel Restoration Techniques for Images Corrupted with High Density Impulsive Noise
... image data for storage, transmission, and representation for autonomous machine ...of noise. Additive white Gaussian noise, Rayleigh noise, Impulse noise ...be noise-free ...
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Audio Type Identification Using EEMD: A Noise Assisted Data Analysis Method
... accuracy. Three feature sets for representing timbral texture, rhythmic content and pitch content of music signals were proposed and evaluated using statistical pattern recognition classifiers with 61% accuracy in [9] ...
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Total Variation Restoration of Images Corrupted by Poisson Noise with Iterated Conditional Expectations
... a white Gaussian additive noise, they need to be adapted to the specific case of Poisson ...Poisson noise, this adaptation is almost systematic, as shows for example the case of TV-based image ...
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Quality Improvement on MRI Corrupted with Rician Noise using Wave Atom Transform
... from noise in the frequency domain and simultaneously preserve them while removing ...magnitude data directly, both the wavelet and the scaling coefficients of a noisy MRI image become biased estimates of ...
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Modeling of Uncertainties using Fuzzy Interval for Enhancement of Images Corrupted by Impulse Noise
... ABSTRACT Noise filtering is the fundamental pre-processing step for digital ...impulse corrupted pixels of digital ...noisy data, uncertain meaning of word etc. Impulse noise is detected by ...
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TAR modeling with missing data when the white noise process is not Gaussian
... The TAR models proposed by Tong (1978) assume that the values of a process (the threshold process) {Z t } determine not only the values of the process of interest {X t }, but also its dynamic. When the threshold process ...
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Improving Broadband Noise Filter For Audio Signals
... to noise possibly being passed before the beat takes place or the premature filtering of the decaying beat because it falls in the next ...processing data window contains a beat the starting point of the ...
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Nonparametric transformation to white noise
... 5 Numerical Results We investigate the performance of our procedure on simulated data in the context of a nonparametric regression with correlated errors. Our purpose is to compare the performance of our estimator ...
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Unit Roots in White Noise
... We have shown that the empirical distribution of the roots converges to the uniform distribution over the unit circle when both the sample size T and the order n of a fi tted VAR tends to in fi nity so that (ln T ) /n → 0 ...
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Nonparametric Transformation to White Noise
... 5 Numerical Results We investigate the performance of our procedure on simulated data in the context of a nonparametric regression with correlated errors. Our purpose is to compare the performance of our estimator ...
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Distribution of Miss Distance in Discrete Time Controlled System with Noise Corrupted State Information
... stochastic data, it is necessary to obtain the distri- bution of miss ...and noise model ...and noise corrupted measurements under a linear saturated control ...
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Restoration of images corrupted by mixed Gaussian-impulse noise by iterative soft-hard thresholding
... of noise, which is a mixture of impulse and Gaussian ...of noise affect images: Poissonian, Gaussian and ...Poisson-Gaussian noise mixture can generally (when no data is lost, ...impulse ...
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