喃喃诉苦
发表于 2025-3-25 05:32:27
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microscopic
发表于 2025-3-25 09:19:04
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jaunty
发表于 2025-3-25 12:15:22
Sparse Encoding Algorithm for Real-Time ECG Compression,ime-frequency domain, obtaining high sparsity levels. Compressed Row Huffman Coding (CRHC) algorithm converts the sparse matrices into compressed, transmittable matrices. The performance of the algorithms is validated in terms of compression ratio (CR), percentage RMS difference (PRD), and time complexity.
jaunty
发表于 2025-3-25 17:00:11
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尾随
发表于 2025-3-25 23:52:44
Design of Higher Order Quadrature Mirror Filter Bank Using Simulated Annealing-Based Multi-swarm Co design of higher order Quadrature Mirror Filter (QMF) bank. The optimization of lower order filters can be carried out easily by traditional optimization methods, but these approaches failed to find higher order filter coefficients due to nonlinear and multimodality problem space. Most of the optim
卜闻
发表于 2025-3-26 04:10:28
,Medav Filter—Filter for Removal of Image Noise with the Combination of Median and Average Filters,rvation when the intensity of the disrupted noise in the original image is high. In this paper, we proposed the Medav Filter which is a combination of mean and adaptive median filter that optimally adjusts the level of mask operations according to the noise density. The median filter has good noise
一致性
发表于 2025-3-26 05:00:27
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大洪水
发表于 2025-3-26 11:25:32
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古代
发表于 2025-3-26 12:57:52
Wavelet Based Fractal Analysis of Solar Wind Speed Signal,esence of multifractality within the signal. Continuous wavelet transforms modulus maxima method has been employed in this purpose. The span of the time series of SWS, which is under consideration, is of 2492 days from 01/01/1997 to 28/10/2003. Finally, the Singularity spectrum is drawn to qualitati
Grievance
发表于 2025-3-26 20:32:26
Class Discriminator-Based EMG Classification Approach for Detection of Neuromuscular Diseases Usingeen implemented for classification, none of them are efficient enough to be implemented in clinical environment. In the present study, we use ensemble approach of support vector machines for classification of three classes (normal, myopathic and neuropathic) of clinical electromyogram (EMG). Our pro