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Year: 2019, Volume: 19, Number: 1
... are used in many different areas, especially in Sensor signals may contain information about the gender and health, ... it is necessary to determine the Index Terms €” digital signal processing, feature extraction, features that can distinguish ... activities effectively from machine learning, pattern recognition, wearable sensors. each other [16]. Feature extraction ...
Year: 2019, Volume: 19, Number: 1
... , in Proc. of specifies the permutations. the 13-th Int. Symposium on Signals, Circuits and Systems, ISSCS 2017, IaŸi, România, pp. ... various optimization developed for home health care routing and scheduling problems, including medical image processing, processes problem (HHCRSP) is presented in [1]. The ...
Year: 2019, Volume: 19, Number: 1
... total dynamic energy Edynamic due to the estimation_type variables/signals. charge/discharge of the capacities can be ... area and power estimation, increase its estimation accuracy. signal occurs, these capacities are charged/discharged. ... state transition table, the Circuits, Systems and Signal Processing, Mierlo, the Netherlands, combinational circuits for ...
Year: 2019, Volume: 19, Number: 1
... M ‚ 1 new transmit vector, then the received signals at PUR and SUR sides are given by are ... fading channels at the SU receiver. We transmit the signal from the PUT to the PU receiver (PUR ... [1-2]. Spectrum utilization can be the end-to-end signal-to-noise ratio (SNR) when all increased by allowing ...
Year: 2018, Volume: 18, Number: 4
... without sensors: Image processing based decreased the false alarm rates. approach." Signal Processing Conference, 2007 15th European, pp. TABLE IX. COMPARISONS OF ... suggested a smoke detection better performance than other existing visual recognition method based on video processing. A chromatically-based CNN models for the recognition of fire and smoke in static ...
Year: 2018, Volume: 18, Number: 4
... single-user and technology is used at BS's to generate transmitting signals multi-user scenarios. It provided an iterative precoding for ... MIMO, common analogue precoder on all the subcarriers whereas signal processing, wireless communication, wideband. using different ... ]. within [0 ,1]. And signal-to-noise ratio is defined as SNR € / ...
Year: 2018, Volume: 18, Number: 4
... such as Low Power Coding (LPC) has been proposed for reliability of the signal. The constancy in the signal by DC on-chip buses power reduction [15 ... connect links as related work in Section 2. In chapter 3, interconnect the processing elements with each other in NoC discussed the proposed Cipher and Decipher design, ...
Year: 2018, Volume: 18, Number: 4
... most of them suffer from computation costs. In of signals are called the corrupted images. It is important ... of images degraded with speckle noise indicates an undesirable random signal attained during [9]. Although many approaches ... filtering strategy using reduce the effect of noise in image processing applications logarithmic transformation; multiscale decomposition and such as ...
Year: 2018, Volume: 18, Number: 4
... of the feasibility and non-invasive features. ESA allows electrical signals of the machine, mainly the stator currents. ... development of a scale model (FFT) and other signal processing procedures. There are laboratory to simulate faults ... a real PMSM in operation. The frequency components in the spectra whose magnitudes PMSM is used to drive a ...
Year: 2018, Volume: 18, Number: 4
... B. G. Horne, "Progress in supervised neural networks," IEEE Signal Processing Magazine, vol. 10, no. 1, pp. 8 ... . ARTIFICIAL NEURAL NETWORK Artificial Neural Network (ANN), which has the basic processing element artificial neural cell called neuron, is able to learn events through examples ...
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