The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 26, 2020

Filed:

Sep. 20, 2018
Applicants:

Yang-han Lee, Taoyuan, TW;

Li-ming Chen, Taipei, TW;

Ting-wen Chen, New Taipei, TW;

Tzong-tyng Hsieh, New Taipei, TW;

Inventors:

Yang-Han Lee, Taoyuan, TW;

Li-Ming Chen, Taipei, TW;

Ting-Wen Chen, New Taipei, TW;

Tzong-Tyng Hsieh, New Taipei, TW;

Assignee:

TAMKANG UNIVERSITY, New Taipei, TW;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/46 (2006.01); G10L 15/02 (2006.01); H03M 7/30 (2006.01); G10L 21/0208 (2013.01); H04N 19/90 (2014.01); H04N 19/176 (2014.01); G10L 19/00 (2013.01); G10L 25/27 (2013.01); G06K 9/00 (2006.01); H04N 19/00 (2014.01);
U.S. Cl.
CPC ...
G06K 9/6247 (2013.01); G06K 9/4642 (2013.01); G10L 15/02 (2013.01); G10L 19/00 (2013.01); G10L 21/0208 (2013.01); H03M 7/30 (2013.01); H03M 7/3068 (2013.01); H03M 7/3082 (2013.01); H04N 19/176 (2014.11); H04N 19/90 (2014.11); G06K 9/00523 (2013.01); G10L 25/27 (2013.01); H04N 19/00 (2013.01);
Abstract

The present invention provides a block-based principal component analysis transformation method and a device thereof. The principal component analysis transformation method includes: obtaining an input signal; dividing the input signal and obtaining a plurality of one-dimension vectors corresponding to the divided input signal, wherein a number of the one-dimension vectors is a division number; after arranging the one-dimension vectors to a two-dimension vector, subtracting an average value of the one-dimension vectors of the division number to obtain a zero-mean vector; calculating a covariance matrix of the zero-mean vector; calculating an eigenvector of the covariance matrix; multiplying the zero-mean vector by the eigenvector to obtain a projection coefficient.


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