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In the first phase, the test was performed using a closed-loop, servo-hydraulic control system with on-specimen instrumentation.
In the verification phase, the test data was degraded with Lynx, F16, car, babble, and Stitel noises from the NOISEX-92 database.
After the adapt phase, the test images were shown for 250 ms and interleaved with 4 s of readaptation, with 100-ms gray intervals between adapt and test images.
Similarly in the test phase, the test data are embedded in the low dimensional space, Y_{text{new}} = X_{text{new}} A (3)and the embedded data are subsequently classified into spikes or non-spikes based on the learnt classification model.
Immediately after the familiarization phase, the test phase began.
After an exercise phase, the test was performed once.
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In this phase, the test-retest and the inter-rater reliability (separately for phases I and Phase II) of the modified Angoff method of standard -setting were estimated.
However, substantial improvement was seen from the learning phase to the test phase, ending with almost similar performance in the high and intermediate category in the test phase.
Three different steps were planned: the pre-training, the following training phase and the test phase.
In fact, it consists only of a training phase while the test phase is completely absent.
After simulation and optimisation phases, the test signal sources are replaced by memory access drivers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com