For further improvement, a new adaptive algorithm to mitigate PAPR in OFDM systems proposed. The proposed adaptive algorithm Lagrange multiplier optimization. Results after simulation justify that depending on the threshold value, PAPR reduction achieved with a slight degradation in BER compared with ...
Deep supervised dictionary learning by algorithm unrolling-Application to fast 2D dynamic MR image reconstruction Andreas Kofler, Marie-Christine Pali, Tobias Schaeffter, and Christoph Kolbitsch [24 December 2022] [Med. Phys.] [Paper] [Github] ...
Keywords: wireless sensor networks; node fault diagnosis method; fire detection; adaptive; Discrete Hopfield Neural Network; fuzzy C-means algorithm; fuzzy inference1. Introduction As user demands for network reliability and sustainability increase, research and innovation in hardware design, calculation pr...
The performance of the normalized least mean square (NLMS) algorithm for adaptive filtering is dependent on the spectral flatness of the reference input. Thus, the standard NLMS algorithm does not perform well in over-sampled subband adaptive filters (OS-SAFs) because colored subband signals are ge...
DSA Digital Signature Algorithm DSCP Differentiated Services Code Point DSL Digital Subscriber Line DS-Lite Dual Stack Lite DSU Data Service Unit DTD Document Type Definition DTE Data Terminal Equipment DTIM Delivery ...
1. Single Blade scalability for Citrix XenApp 7.11 RDS HSD, VDI Hosted Virtual Desktop (Persistent, non-persistent)2. Multiple Workload Cluster scalability for Citrix XenApp 7.11 RDS HSD, VDI Hosted Virtual Desktop (Persistent, non-persistent)3. Full Scale 5000 User Mixed Workload scalability ...
In the calculation of the inference time, only the time taken by the algorithm to process the image was considered, ignoring the time taken for data preparation. Table 7 presents the processing times for a single image frame for the different methods, and the average inference time for a ...
An adaptive filtering algorithm using an orthogonal projection to an affine subspace and its properties The LMS algorithm and learning identification, which presently are typical adaptive algorithms, have a problem in that the speed of convergence may decrease greatly depending on the property of the ...
G. Prioritizing the most affected cell types in response to KD or COV by ranking the AUC scores derived from Augur algorithm. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, Wilcoxon rank-sum test, adjusted for Bonferroni post hoc test, had been applied. Then we measured ...
2.6.4 Reduced Rank Space-Time Adaptive Filtering Algorithm 2.6.5 Impacts on GNSS Signal by Space-Time Processing and Equalization Technique 2.6.6 Simulation Results 2.7 Summary 3.4.4 Simulation Results 3.5 Null-Widen Space-Time Adaptive Filtering ...