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DIFF Subgroup
G10L 19/035

Scalar quantisation

Introduced: January 2013

Full Title

Full titles differ between systems:

IPC:

Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis > using spectral analysis, e.g. transform vocoders or subband vocoders > Quantisation or dequantisation of spectral components > Scalar quantisation

CPC:

Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis (in musical instruments G10H) > using spectral analysis, e.g. transform vocoders or subband vocoders > Quantisation or dequantisation of spectral components > Scalar quantisation

No child classifications to compare. This is a leaf node in both IPC and CPC.

Top Applicants

Top Applicants (IPC)

Class G10,2013–2023, worldwide · Source: EPO PATSTAT

  1. SAMSUNG ELECTRONICS COMPANY KR 5,218
  2. GOOGLE US 4,644
  3. FRAUNHOFER DE 4,601
  4. SONY CORPORATION JP 2,380
  5. HUAWEI TECHNOLOGIES COMPANY CN 2,179
  6. YAMAHA CORPORATION 2,120
  7. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 1,974
  8. MICROSOFT TECHNOLOGY LICENSING US 1,916
  9. AMAZON TECHNOLOGIES US 1,866
  10. DOLBY LABORATORIES LICENSING CORPORATION US 1,843

Top Applicants (CPC)

Class G10,2013–2023, worldwide · Source: EPO PATSTAT

  1. SAMSUNG ELECTRONICS COMPANY KR 6,277
  2. GOOGLE US 5,429
  3. FRAUNHOFER DE 4,984
  4. SONY CORPORATION JP 2,808
  5. HUAWEI TECHNOLOGIES COMPANY CN 2,577
  6. MICROSOFT TECHNOLOGY LICENSING US 2,382
  7. DOLBY LABORATORIES LICENSING CORPORATION US 2,123
  8. QUALCOMM US 2,117
  9. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 2,049
  10. AMAZON TECHNOLOGIES US 1,924