Invention Grant
US08306007B2 Vector quantizer, vector inverse quantizer, and methods therefor 有权
矢量量化器,矢量逆量化器及其方法

  • Patent Title: Vector quantizer, vector inverse quantizer, and methods therefor
  • Patent Title (中): 矢量量化器,矢量逆量化器及其方法
  • Application No.: US12812113
    Application Date: 2009-01-15
  • Publication No.: US08306007B2
    Publication Date: 2012-11-06
  • Inventor: Kaoru Sato
  • Applicant: Kaoru Sato
  • Applicant Address: JP Osaka
  • Assignee: Panasonic Corporation
  • Current Assignee: Panasonic Corporation
  • Current Assignee Address: JP Osaka
  • Agency: Greenblum & Bernstein, P.L.C.
  • Priority: JP2008-007255 20080116; JP2008-142442 20080530; JP2008-304660 20081128
  • International Application: PCT/JP2009/000133 WO 20090115
  • International Announcement: WO2009/090876 WO 20090723
  • Main IPC: H04B7/216
  • IPC: H04B7/216
Vector quantizer, vector inverse quantizer, and methods therefor
Abstract:
Disclosed is a vector quantizer capable of improving the quantization accuracy of vector quantization to switch over the codebook of the vector quantization of a first stage depending on the type of feature having a correlation with a vector to be quantized. In the quantizer, a classifier (101) selects a classification code vector indicating the type of feature having the correlation with the vector to be quantized from a plurality of classification code vectors. A switch (102) selects a first codebook corresponding to the type from a plurality of first codebooks. An error minimizing section (105) selects a first code vector closest to the vector to be quantized from a plurality of first code vectors constituting the selected first codebook. An additivity factor determining section (106) selects an additivity factor vector corresponding to the type from a plurality of additivity factor vectors. The error minimizing section (105) selects a second code vector closest to the residual vector between the selected first code vector and the vector to be quantized from a plurality of second code vectors by using the selected additivity factor vector.
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