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Moreover, by designing an adaptive threshold value in the extraction process, our method is more robust for resisting common attacks such as median filtering, average filtering, and Gaussian noise.
For noisy measurements and for practical implementation, the moving average filtering and Kalman estimation approaches that provide the required state temperatures to be used in the controller are discussed.
The extracted pitch values are normalized by the mean-shifting, median filtering, average filtering, and min-max scaling methods.
We also normalized the features of the music and humming data through mean-shifting, median and average filtering, and the min-max scaling method to eliminate the surrounding and peak noises that occur during recording.
To overcome these problems, the pitch values of humming and MIDI are normalized; this includes mean-shifting, median filtering, average filtering, and min-max scaling as follows [13 15, 17, 18]. Figure 1 Overall procedure of the proposed method.
To overcome these problems, the pitch values of humming and MIDI are normalized; this includes mean-shifting, median filtering, average filtering, and min-max scaling as follows [13 15, 17, 18]. Figure 2 Extracted pitch contours before normalization: (a) the MIDI file; (b) the humming file.
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Afterwards the performance is quantitatively compared to state-of-the-art methods, namely simple frame averaging, median filtering, and wavelet soft and hard thresholding.
A comparison of the proposed multiframe method to averaging, median filtering, and standard wavelet thresholding methods is shown in figure 6.
We suppressed noise induced by the arrival of the direct wave using an average filter, and then used a band-pass filter to increase the signal-to-noise ratio.
In order to remove measurement noises, both moving average filters and Kalman filters are adopted in calculating the TOFs and positions.
Since our controller has a limited reaction time to cooling and healing, we needed to slow the measurement of our system as well and decided to implement a running average filter and impose an artificial time between temperature measurements.
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