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Search results for: noise
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Year: 2019, Volume: 19, Number: 4
... in reference [13], a novel and fast cubic B-splines algorithm For this reason, spline interpolation is used to estimate the for cancellation of random valued impulse noise was given peak points from measured values. In this paper, highly in reference [14], a real time implementation of cubic sensitive peak detection of ...
Year: 2020, Volume: 20, Number: 2
... the evaluation of local gain advantage of using CNN is better training than a typical alterations by investigation of local ROIs which are spread neural network and this leads to noise reduction and all over the MRI scan. Within each ROI, a partial volume improved performance of classification task. The CNN uses measurement model is fitted to ...
Year: 2020, Volume: 20, Number: 2
... . 3(b) shows its information losses could be tested by image similarity distribution in color space. In addition, its single measure or peak signal to noise ratio (PSNR). The PSNR dimensional histogram obtained with single threshold is values are calculated for each channel individually. In our shown in Fig. 3 ...
Year: 2020, Volume: 20, Number: 2
... from Test 1 amplified ECG signal to be measured by an oscilloscope PQRST points are easily identifiable as in Good from Picoscope series 2000. The presented ECG signals Fig.1 Noise and artefacts make it difficult to identify represent the raw output of the AD8232 module with no Poor waves and segments, excluding the R peaks post-filtering or amplification ...
Year: 2020, Volume: 20, Number: 2
... Abstract €” In this work, hourly solar irradiation is defined as (MARS) based on complete empirical mode decomposition a two-dimensional discrete signal. This two-dimensional with adaptive noise (CEEMDAN) as a daily solar radiation discrete signal is modeled by a novel hybrid approach, which predictor [3]. Kaplanis obtains a hourly solar ...
Year: 2020, Volume: 20, Number: 2
... appropriate or models have been examined comparatively. not for the problem. If the data is completely random, the model is approved by assuming that it has white noise [2]. 1) CNN Metrics such as AIC, MAE or RMSE can be used to evaluate the performance of models. Future predictions with CNN ...
Year: 2020, Volume: 20, Number: 2
... channels were studied in [24]. An artificial noise assisted IA Consider a K -user multiple-input multiple-output scheme ... rate and harvested power. The interference network at high signal-to-noise ratio (SNR). receiver structure in this ... power harvested by EH users and the total signal-to- interference-noise ratio (SINR) of the ID users. ...
Year: 2020, Volume: 20, Number: 2
... of of ln(Rdcr2), ln(Racr2), R† Signal to noise with respect to r, respectively. Finally, μa and μs' can ... , "Practicality of measuring spectral properties in multiple-scattering media: wavelength selection to improve signal-to-noise ratio in infrared methemoglobin absorption spectrum in a tissue like phantom", Appl ...
99. Investigation on Performance of Controllers for Three Level PFC Converter for Wide Operating Range
Year: 2020, Volume: 20, Number: 1
... output voltage is regulated using Schottky rectifier with B. FLC Controller output side passive filter to reduce ripple content with low Experts' thinking and mathematical principles are the noise level. main driving forces in fuzzy logic controller to solve the problems in non-linear systems. FLC stabilizes the converter system against wide range of non-linear conditions by ...
Year: 2020, Volume: 20, Number: 1
... decomposed images into deconvolution, filtering, image enhancement. sub-bands, from which the noise and edge are removed and enhanced, respectively. The experimental results have I ... method on the basis of cubic spline interpolation achieves better performance in terms of peak signal-to-noise to improve the detection accuracy of motion-blurred images. ratio, kernel similarity index ...
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