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Remark 5.4 It should be emphasized here that in our derivation Ry1 y1 and Ry1 y1 are assumed to be independent of the actually evaluated vector w1 (l + 1), i.e., they are estimated based on w1 (l) in the previous iteration step. This two-phase procedure is similar to the expectation maximization (EM) scheme: (i) Freeze the correlation and cross-correlation matrices and learn the parameters of the processing unit (w1 , b1 ); (ii) freeze w1 and b1 and learn new statistics (i.e., matrices Ry1 y1 and Ry1 y1 ) of the estimated source signal, then go back to (i) and repeat. Hence, in phase (i) our algorithm extracts a source signal, whereas in phase (ii) it learns the statistics of the source. The above algorithm can be considerably simpli ed. It should be noted, that in order to avoid the inversion of the autocorrelation matrix Rx1 x1 in each iteration step, we can apply as a preprocessing the standard prewhitening or standard PCA and next normalize the sensor signals to unit variance. In such cases, Rx1 x1 = In and the algorithm is simpli ed to [68] get coordinates of text in pdf c# How to programmatically search a PDF document in c# - Stack Overflow
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3 Nov 2011 ... This article shows how to search a PDF for text in C# using the Document.Find method and the TextFindCriteria and TextMatchEnumerator ... how to search text in pdf using c# Search for a text in a pdf file and return the coordinates if the text exist
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