Patents by Inventor David Jeremy Copeland

David Jeremy Copeland has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method and apparatus for fast signal convolution using separated-spline kernel
    Patent number: 6912323
    Abstract: A fast convolution method applicable to convolving a signal (indicative of an n-dimensional pattern, where n is greater than or equal to two) with a smooth kernel that can be approximated by a separated-spline kernel, and a system configured to perform such method using software or signal processing circuitry. Unlike Fourier-based convolution methods which require on the order of N log N arithmetic operations for a signal of length N, the method of the invention requires only on the order of N arithmetic operations to do so. Unlike wavelet-based convolution approximations (which typically also require more arithmetic operations than are required in accordance with the invention to convolve the same signal), the method of the invention is exact for convolution kernels which are spline kernels.
    Type: Grant
    Filed: May 29, 2001
    Date of Patent: June 28, 2005
    Assignee: Applied Materials, Inc.
    Inventors: David Jeremy Copeland, Richard E. Crandall, Ulrich Hofmann, Richard L. Lozes
  • Method and apparatus for fast signal convolution using separated-spline kernel
    Publication number: 20010051860
    Abstract: A fast convolution method applicable to convolving a signal (indicative of an n-dimensional pattern, where n is greater than or equal to two) with a smooth kernel that can be approximated by a separated-spline kernel, and a system configured to perform such method using software or signal processing circuitry. Unlike Fourier-based convolution methods which require on the order of N log N arithmetic operations for a signal of length N, the method of the invention requires only on the order of N arithmetic operations to do so. Unlike wavelet-based convolution approximations (which typically also require more arithmetic operations than are required in accordance with the invention to convolve the same signal), the method of the invention is exact for convolution kernels which are spline kernels.
    Type: Application
    Filed: May 29, 2001
    Publication date: December 13, 2001
    Applicant: Applied Materials, Inc.
    Inventors: David Jeremy Copeland, Richard E. Crandall, Ulrich Hofmann, Richard L. Lozes