Then FVE model is coupled with RSM to implement a low noise axial fan blade optimization.
To this purpose, we implement a low-noise experimental set-up, which is able to measure, in particular, the flicker ("1/f") contribution to the drain noise current of the device under test, with high accuracy in terms of noise floor and the adequate bias system flexibility required by the application.
Therefore, we implemented an appropriate noise model and allowed different kernels for each dimension.
Our algorithm first implements a multi-level noise filtering approach to minimize noise photons and subsequently classifies the remaining photons into ground and top of canopy using an overlapping moving window method and cubic spline interpolation.
We implemented an experimental learning noise control on a hearing aid, where we used the previously selected features for prediction of the maximum amount of attenuation in a method for spectral subtraction.
We have designed, tested and implemented a UHV-compatible, low-noise, non-contacting force actuator for DC positioning and inertial damping of the rigid body resonances of the Seismic Attenuation System (SAS) designed for the TAMA Gravitational Wave Interferometer.
This mechanism can be implemented by using a noise with a Laplacian distribution that is a negative exponential with respect to the distance from the real location, like in the case of differential privacy.
A potential solution to the noise is to implement a smoothing algorithm, such as loess smoothing.
Maximum instrument sensitivity for detecting near-transparent particles is achieved by automatically optimizing threshold values, using low-noise electronics, implementing noise reduction algorithms, and compensating for all possible non-uniformities in spatial and pulse-to-pulse illumination.
Exploiting the Markovian property of white noise, DgPC [1] implements a restart procedure that allows us to expand solutions at future times in terms of orthogonal polynomials of the measure describing the solution at a given time and the future white noise.
