Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"noise separation"”.
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A noise detection, noise-motion separation and a cancer recognition theory and algorithm
In this thesis we describe a noise detection and a motion-noise separation algorithm, as well as the stochastic properties of the noise. The difference between corresponding pixels subject to one type of noise, of two frames, has mean vector equal to (0,0,0), and variance covariance matrix with …
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Enhancing land seismic data with compressive sensing and processing
… rise to surface and guided waves and scattering noise that can propagate with extremely slow velocities. Wavefields triggered in the near surface have short wavelengths, and thus are difficult to acquire non-aliased which is the main source of discrepancy between marine and land seismic data …
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Noise Metrology in Optical Communication Systems
… shift. This PhD thesis addresses the problem of noise estimation in optical communication systems. This topic is of critical importance since a better understanding of the optical link is required to optimize the transmission parameters with the final goal of maximizing capacity and enabling …
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Multiple access networks over finite fields : optimality of separation, randomness and linearity
… a time-slotted multiple access noisy as well as noise-free channel in which the received, transmit and noise alphabets belong to a finite field. We show that source-channel separation holds when the additive noise is independent of inputs. However, for input-dependent noise, separation may not …
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Tire-Pavement Interaction Noise (TPIN) Modeling Using Artificial Neural Network (ANN)
Tire-pavement interaction is a dominant noise source for passenger cars and trucks above 25 mph (40 km/h) and 43 mph (70 km/h), respectively. For the same pavement, tires with different tread pattern and construction generate noise of different levels and frequencies. In the present study, …
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Separability between signal and noise components using the distribution of scaled Hankel matrix eigenvalues with application in biomedical signals.
… signals are often corrupted by artifacts and noise, which require separation or signal extraction before any statistical evaluation. Another challenge in analysing biomedical signals is that their data is often non-stationary, particularly when there is an abnormal event observed within the …