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Year: 2020, Volume: 20, Number: 3
... SR in real-time. Experimental results show that for electrical signals from multi-electrode arrays neurons and electronic systems. Stochastic ... Engineering Volume 20, Number 3, 2020 A Digital Signal Amplification Device for Microelectrode Arrays based on Stochastic Resonance ... first explanation for the Brownian motion in his Ph.D. signal-to-noise ratio, in each measured channel. The results ...
Year: 2020, Volume: 20, Number: 3
... converter and the RTS are driven by the same input signals and the outputs of the two blocks are available ... close to or below the crossover frequency. Another of signal level, power level or mechanical level simulations drawback ... . Cho, doi:10.1109/TIE.2014.2360138. "Small-Signal Analysis of the Phase-Shifted PWM Converter," IEEE ...
Year: 2020, Volume: 20, Number: 3
... imaging," (middle), and the proposed method (bottom). Signal, Image and Video Processing, vol. 10, no. 8, ... . 1425 – 1432, July 2016. doi: 10.1007/s11760-016-0942-1 However, if higher threshold is used, less original [6] S. Ferradans, ...
... ] M. Hekim. "The classification of EEG signals using discretization- 1169, 1985. doi: ... of the proposed filter is presented below: complex sinusoidal signal by a Gaussian envelope [26]. The ... or ducts. Therefore, Index Terms — biomedical image processing, cancer many researchers have focused on providing a ...
Year: 2019, Volume: 19, Number: 4
... experimental verification, symbol rate, frequency offset, seven-type signals. Modulation recognition, when the SNR adjacent channel ... Number 4, 2019 Research on Influencing Factors of Digital Signal Modulation Recognition Jinxia WANG, Hong DU College of ... , 2019 Simulation conditions: Assuming training signal set baud signal-to-noise ratio is greater than -3dB, the signal The ...
Year: 2019, Volume: 19, Number: 4
... Network 10.1016/j.cageo.2011.12.011 Training Algorithms for Classification of Cardiotocography Signals," [20] K. Abaci, ... colony algorithm (ABC) in n different studies for signal processing [12] and pattern classification [13 ... of computing and data non-linear and multi-dimensional problem depending on processing technologies, using new methods such as neural power ...
Year: 2019, Volume: 19, Number: 4
... power path with the main core. By injecting high-frequency signals into the attached coil of the bypass core, ... conditions. If saturated, the transformer will overheat direct signal gathering of the magnetic strength or the and generate ... proposed technique are presented in Section IV. The signal processing For input signals, because the reactance of the ...
Year: 2019, Volume: 19, Number: 4
... , n. 20, [8] D. A. Landgrebe, "Signal Theory Methods in Multispectral Remote pp. 1263 – 1265, 2012. doi ... called Incorporated directly for segmentation or can be complemented using Decision-Marker-based multiobjective band selection image processing techniques. (IDMMoBS) that tries to find tradeoff solutions using spectral HIs ...
Year: 2019, Volume: 19, Number: 4
... pca.cis.nagasaki-u.ac.jp 1 Abstract — Peak detection of any time serial signals can be reference [10], a spline ... peak value can be obtained from the interpolation effects on signal transferring was highlighted measured value by using a highly ... of of a switched reluctance generator using cubic spline signal processing, similar to sampling and conversion. coefficients on ...
90. Comparison of Classification Algorithms for Detecting Patient Posture in Expandable Tumor Prostheses
Year: 2020, Volume: 20, Number: 2
... of the Mean: It is the result of summing all the components of coefficient signal the dataset and dividing the sum by the number of Mean The average value ... presents Section 3. how to achieve posture recognition. The steps of collecting and processing data are also mentioned in this section. III. POSTURE RECOGNITION Section 4 ...
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