Sentence examples for on rectified from inspiring English sources
To further advance the existing knowledge base on rectified vibration energy harvester design, this study investigates the fundamental effects of electrical loads containing non-resistive components (e.g., rectifiers and capacitors) on electromagnetic energy harvester performance.
However, in this case the correlation operates on rectified signals of opposite polarity from the same spatial location, rather than signals from spatially neighboring locations.
The proposed method works on a pair of rectified stereo images, where the search of corresponding points on the stereo image pair is constrained on the horizontal image scanlines.
In order to reduce the distortion induced by the spherical projection, we compute the above mentioned feature descriptors on an atlas of rectified images (shown in Figure 4).
At each position, the underlying image patch is passed to the classifier which is trained on a set of rectified window samples and non-windows.
A nice example of this rests on the use of rectified periodic motion, in which only rightward target excursions are presented.
The effect of moving average window width on the range of values of rectified and integrated EMG signals was tested on a theoretical model presented by Veternik and co-workers (Veterník M, Šimera M, Jakuš J, and Poliaček I. Effect of moving average window width on integration of EMG signal).
Nevertheless, some perspectives are preferable, since the distortion of the projection on the rectified view is less pronounced.
Stereo matching was performed on the rectified cylinder stereo image pairs using the semi-global matching algorithm [21], and the matching results are shown in Fig. 12.
In order to set the value of γ, we test our algorithm on five rectified multiview video sequences, with 20 frames per sequence.
Here the study was focused on the hyper-parameters: (a) activation functions, by comparing the performance of rectified linear unit (ReLU), Sigmoid (Sigm) and Tanh functions, (b) learning rate, (c) number of neurons per layer, (d) number of hidden layers and (e) dropout regularization.
