Invention Grant
US07995845B2 Digital signal pattern detection and classification using kernel fusion 有权
使用核心融合的数字信号模式检测和分类

  • Patent Title: Digital signal pattern detection and classification using kernel fusion
  • Patent Title (中): 使用核心融合的数字信号模式检测和分类
  • Application No.: US12022974
    Application Date: 2008-01-30
  • Publication No.: US07995845B2
    Publication Date: 2011-08-09
  • Inventor: Babak Forutanpour
  • Applicant: Babak Forutanpour
  • Applicant Address: US CA San Diego
  • Assignee: QUALCOMM Incorporated
  • Current Assignee: QUALCOMM Incorporated
  • Current Assignee Address: US CA San Diego
  • Agent Matthew J. Evans; James R. Gambale, Jr.
  • Main IPC: G06K9/46
  • IPC: G06K9/46
Digital signal pattern detection and classification using kernel fusion
Abstract:
This disclosure describes techniques for determining a shape of a signal. In particular, a kernel is applied to a portion of a signal to compute at least a first, first order derivative of the portion of the signal and a second, first order derivative of the portion of the signal in a single pass of the kernel. The shape of the portion of the signal is determined based on the first and second first order derivatives. In one example, the shape of the portion of the signal is determined based on the ratio of the first, first order derivative and the second, first order derivative. These techniques may be particularly effective for detecting edges within image signals. However, the techniques may be used to detect the shape of significant changes within any signal that represents a variable that is changing over time, space or other dimension.
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