To evaluate potential differences between categories of selected factors, analysis of variance was performed. Post-hoc analyses using Tukey HSD criteria were used to determine significance for factors with more than two categories. 3. Results Among the first 100 NOISE Study participants, 84 were male...
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, 23–28 June 2013; pp. 1067–1074. [Google Scholar] Son, H.; Lee, S. Fast non-blind deconvolution via regularized residual networks with long/short skip-connections. In Proceedings of the ...
Turgoose and Cottis [11] found a relationship between the increase in variance and standard deviation and an increase in corrosion rate. R𝑛=𝜎𝑣𝜎𝐼∗𝐴Rn=σvσI∗A (3) Kurtosis and skewness were used in this study to identify the type of corrosion. It was not considered ...
However, Figure 8 shows that the calibration parameters of the proposed method reduce the mean and variance of prediction errors. The average RMSE in terms of pixel for all frames decreases from 3.03 to 2.45 (about 19.2%). (a) (b) Figure 8. Prediction errors in the UKF for motion ...
The variance characteristics of the data can be improved, but the overlap of data will reduce the irrelevance between each segment of data and make the reduction in variance lower than the theoretical value. In this paper, the data is divided into eight segments, and the overlap rate between ...
For any given point p, its density is assayed by Equation (5), where 𝑑𝑖𝑠𝑡𝑖disti represents the Euclidean distance between the k-th neighboring and the central photon, k denotes the number of photons in the neighborhood, 𝜎2σ2 indicates the variance of the Gaussian function,...
where 𝛼α is the depth variance threshold and 𝛽β is the reflection variance threshold. The process of the reflective area detection module is as follows. First, we create an 𝑚×𝑛m×n window with i as a step and slide the image in the depth and the reflection intensity range....
processed by the model, 𝐶𝑜𝑣(𝑋,𝑌)Cov(X,Y) represents the covariance of the reference label signal and the denoised signal, 𝑉𝑎𝑟[𝑋]Var[X] represents the variance of the reference label signal, and 𝑉𝑎𝑟[𝑌]Var[Y] represents the variance of the denoised ...
The Allan variance (AV) and the non-parametric power spectral density are the classical tools used to describe noise characteristics of an IMU. Refer to [36] for a detailed description of these procedures. Vaccaro et al., introduced the automatic noise identification by computing and matching the...