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Title:
BLOCK-BASED PRINCIPAL COMPONENT ANALYSIS TRANSFORMATION METHOD AND DEVICE THEREOF
Document Type and Number:
Japanese Patent JP2019061671
Kind Code:
A
Abstract:
To provide a block-based principal component analysis transformation method capable of completely reconstructing an original signal with small data size, and a device thereof.SOLUTION: A 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, where the number of the plurality of one-dimension vectors is a division number; after arranging the plurality of one-dimension vectors to a two-dimension vector, subtracting an average value of the plurality of 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.SELECTED DRAWING: Figure 2

Inventors:
LEE YANG-HAN
XIE JING TANG
CHEN LI-MING
CHEN TING-WEN
HSIEH TZONG-TYNG
Application Number:
JP2018177226A
Publication Date:
April 18, 2019
Filing Date:
September 21, 2018
Export Citation:
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Assignee:
UNIV TAMKANG
International Classes:
G06F17/16; G06V10/50; H03M7/30; H04N19/60
Domestic Patent References:
JP2012504251A2012-02-16
JP2014016746A2014-01-30
Other References:
RAVI KIRAN, CHANDRASHEKHAR KAMARGAONKAR: "“Region based medical image compression using block-based PCA”", 2016 INTERNATIONAL CONFERENCE ON COMPUTATION OF POWER, ENERGY INFORMATION AND COMMUINCATION (ICCPEIC, JPN6019033176, 1 September 2016 (2016-09-01), US, pages 091 - 096, ISSN: 0004240830
Attorney, Agent or Firm:
Kenji Sugimura
Mitsutsugu Sugimura
Masaaki Ishikawa