Signal processing in the mixed time-frequency domain using svd and Wigner-Ville transform techniquesTomasz ZielinskiBorislav D Donevsky
Thus, they are suitable when the prior information is that the image contains small and well localized objects as, for example, in the localization of cortical activity by electric measurements. As p is reduced the solutions will become increasingly sparse. When p = 1 [17] the problem can ...
techniques have not been studied in the literature. in the context of cp-ofdm, the corresponding research has been very fruitful, and comp is known as one of the advanced communication techniques that are able to provide benefits of reduced inter-cell interference and enhanced cell edge ...
Singular value decomposition (SVD) Anotherapproach to learning the underlying structure of the data is to reduce the rank of the original matrix of features to a smaller rank such that the original matrix can be recreated using a linear combination of some of the vectors in the smaller rank ma...
The bias problem in probabilistic regression has been the subject of Sect. 4-37 for simultaneous determination of first moments as well as second central moments by inhomogeneous multilinear, namely bilinear, estimation. Based on the review of the first
Atrial fibrillation disorders are one of the main arrhythmias of the elderly. The atrial and ventricular activities are decoupled during an atrial fibrillation episode, and very rapid and irregular waves replace the usual atrial P-wave in a normal sinus
It also addresses challenges related to data quality, privacy, security, processing, analysis, clinical integration, ethics, and interpretation of results. With its emphasis on the transformative potential of multimodal medical data fusion, this paper sets the stage for future research and advancements ...
Rich spatiotemporal dynamics of cortical activity, including complex and diverse wave patterns, have been identified during unconscious and conscious brain states. Yet, how these activity patterns emerge across different levels of wakefulness remain uncl
The prediction accuracy was smaller in the reduced model fitted with only lick variables than in the full model (Figure S4A). This suggests that some task-related components uniquely contributed to the activity of individual neurons that could not be explained by lick movements. Then, we defined...
Consider the SVD of the channel transfer matrix Hk: Now, let us perform the SVD of our matrix Hk assuming that its rank is Nk: Rank(Hk) = Nk and that . (6) where is diagonal and and are unitary matrices. In SVD-based beamforming, the transmit signal is precoded using the matrix...