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In this context, our aim was to compare the ability of two stochastic approaches of blind source separation, namely independent component analysis (ICA) and canonical correlation analysis (CCA), and of two deterministic approaches namely empirical mode decomposition (EMD) and wavelet transform (WT) to remove muscle artifacts from EEG signals.
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The joints were constructed using a novel approach of blind bolting a flush end plate to concrete-filled square hollow columns.
As a result, the track is lost with conventional tracking approaches and the application of blind restoration approaches can improve tracking results [9].
In [17], a Bayesian approach for blind separation of linear mixtures of sources was developed.
In this paper, we develop an approach for blind recognition of the coding parameters of a communication system which uses binary cyclic codes.
The fact that the basis spectra chosen were averages from different samples to those that underwent unmixing further underscores the robustness of the signatures, as well as the promise of this approach for blind tissue delineation and identification.
This paper presents a new cyclostationarity-based approach to blind estimation of OFDM signal parameters.
In [15], an approach for blind recognition of binary linear block codes in low code-rate situations is presented.
In addition, a new approach for blind separation of nonstationary sources using their TFDs, was proposed in [75].
In this paper we present a new approach for blind identification of non-minimum phase FIR channels for single input single output (SISO) and multiple inputs single output (MISO) scenarios.
Suboptimal approaches to the use of blind multiuser detectors, such as [15, 16], have also been proposed to mitigate multiple access interference (MAI), which results from multipath fading destroying the orthogonality of the user's spreading sequences.
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