| Plural | gaussians |
Gaussian distribution
Gaussian curve
gaussian beam
gaussian noise
gaussian function
gaussian blur
gaussian pulse
gaussian filter
gaussian elimination
gaussian curvature
Two pulse generators, the Gaussian pulse generator and the monocycle generator, are designed, fabricated, and experimentally demonstrated.
This paper presents the source coding theorem for discrete-time stationary Gaussian sources with absolutely summable autocorrelation sequence.
With MLE/DC and some coupling between them, the PSD and PDF parameters of colored non-Gaussian data can be estimated correctly.So processing of prewhitening and gaussianizing can be realized.
The gaussian distribution is commonly used in statistics.
The gaussian blur effect is often used in photography.
Scientists often use gaussian elimination in solving linear equations.
The gaussian function is widely used in signal processing.
The gaussian filter is commonly used in image processing.
The gaussian noise model is often used in simulations.
The gaussian mixture model is a popular clustering algorithm.
The gaussian process is used in machine learning for regression tasks.
The gaussian distribution is symmetric around its mean.
The gaussian kernel is commonly used in support vector machines.
Gaussian distribution
Gaussian curve
gaussian beam
gaussian noise
gaussian function
gaussian blur
gaussian pulse
gaussian filter
gaussian elimination
gaussian curvature
Two pulse generators, the Gaussian pulse generator and the monocycle generator, are designed, fabricated, and experimentally demonstrated.
This paper presents the source coding theorem for discrete-time stationary Gaussian sources with absolutely summable autocorrelation sequence.
With MLE/DC and some coupling between them, the PSD and PDF parameters of colored non-Gaussian data can be estimated correctly.So processing of prewhitening and gaussianizing can be realized.
The gaussian distribution is commonly used in statistics.
The gaussian blur effect is often used in photography.
Scientists often use gaussian elimination in solving linear equations.
The gaussian function is widely used in signal processing.
The gaussian filter is commonly used in image processing.
The gaussian noise model is often used in simulations.
The gaussian mixture model is a popular clustering algorithm.
The gaussian process is used in machine learning for regression tasks.
The gaussian distribution is symmetric around its mean.
The gaussian kernel is commonly used in support vector machines.
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