To solve this problem, a novel self-adaptive, multi-peak detection algorithm is proposed in this paper. The adaptive dual thresholds are used to identify the single peak and pre-estimate its peak parameters for the segmentation of the peak support region and the selection basis of the wavelet ...
R-peaks detectionIn this paper we introduce a R-peak detection algorithm using the Hilbert transform for electrocardiogram processing. This algorithm uses the envelope obtained from Hilbert transform to detect the R-peaks in the ECG signal. The algorithm adaptively determines the threshold for peak ...
Illustration of the procedure of the proposed automatic spike sorting algorithm. First, the raw signal is fed into a common detection procedure. As an example, first, the signal is filtered, then, an initial detection is performed by applying a simple thresholding procedure. Thereafter, the propos...
Next Day Peak Load Forecasting Using Neural Network With Adaptive Learning Algorithm Based On Similarity. Tomonobu Senjyu,Hirokazu Sakihara,Yoshinori Tamaki,Katsumi Uezato. Electric Machines and Control . 2000Tomonobu Senjyu,Hirokazu Sakihara,Yoshinori Tamaki,et al.Next Day Peak Load Forecasting Using ...
Since the community detection algorithm is nondeterministic123, 1,000 iterations of the network partitions were estimated for an intermediate value of the model (\(\beta=0.5\); \(\sigma=0.5\)) while sweeping the structural resolution, \(\gamma\), parameter between 0.5–2.0 (\(\gamma\) ...
targets and background. As shown in Figure 2, the result is a much stronger peak which translates into less drift and fewer dropped tracks. Traditionally, ASEF and UMACE filters have been trained offline and are used for object detection or target identification. In this research, we have ...
In order to validate and calibrate the detection algorithm, simulated data generated by the EEG model [2]. The model generates an EEG like signal characterized in time frequency by a linear IF with a random slope in the range of [−0.07 0]. These values were reported in [5]. The B-...
摘要: In this paper, we present a novel low complexity algorithm for reducing the peak-to-average power ratio (PAPR) occurring in OFDM-based cognitive radios. Although several PAPR reduction algorithms exist in the literature, they are often only effective......
Therefore, both NMQA and the naive approach are affected by the same detection errors. Despite this complication, we again find that NMQA outperforms the naive mapping algorithm by a factor of 2–3 in the number of required measurements (Fig. 4b), with expected behavior at the extremal ...
8186Accesses 31Altmetric Metrics Abstract Understanding cellular organization demands the best possible spatial resolution in all three dimensions. In fluorescence microscopy, this is achieved by 4Pi nanoscopy methods that combine the concepts of using two opposing objectives for optimal diffraction-limited ...