Sentence examples for mixing matrix and from inspiring English sources

Exact(23)

A generative model of ICA is linear,, where,, and are the observed data vector, mixing matrix, and source vector, respectively.

where A is an n f  × n s "mixing" matrix and e j is a vector of n f independent Gaussian error terms with precisions (inverse variances) τ = ( τ 1, …, τ n f ).

where x ( t ) ∈ ℜ 12 × 1 is the electrical signal recorded at the standard 12 leads in an ECG recording, A ∈ ℜ 12 × M is the unknown full column rank mixing matrix, and s ( t ) ∈ ℜ M × 1 is the source vector that assembles all the possible M sources involved in the ECG, including the interesting atrial component.

Figure 2 [ 41] illustrates the relations among pool sequence/structure analysis, mixing matrix and starting sequence, and pool synthesis.

Then, the image matrix was decomposed into a mixing matrix and a source matrix.

Hyper-K will offer a broad program of physics and astrophysics including precise measurements of the lepton mixing matrix and leptonic CP asymmetry with accelerator and atmospheric neutrinos and searches for nucleon decay.

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Similar(37)

The experimental synthesis of designed pools can benefit from using optimized starting sequences, mixing matrices, and pool fractions associated with each of the constructed pools as a guide.

The second one is dedicated to autosource selection for mixing matrix estimation and requires fixing two parameters only, regardless of the instrumented SNRs.

The modified SUBSS algorithm is obtained by using both the DATE and SNT for source recovery and mixing matrix estimation by SNT, respectively, as explained in Section "Statistical tests for sparseness-based UBSS".

More specifically, Section "Main steps of standard UBSS methods" recalls the source recovery and mixing matrix estimation steps in classical UBSS methods based on sparseness assumptions.

Then, Section "Statistical tests for sparseness-based UBSS" is the main core of the article because it introduces the statistical tests for the selection of the time frequency points needed by source recovery and mixing matrix estimation.

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