Patents by Inventor Madhur SRIVASTAVA

Madhur SRIVASTAVA 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).

  • Publication number: 20230260087
    Abstract: Methods, systems and programs for denoising a signal using an undecimated discrete wavelet transformation are provided. The methods use signal location windows. The signal location windows may be used before or after thresholding. When signal location windows are used after thresholding coefficients within the signal location windows may be restored to their original values. When signal location windows are used before thresholding, coefficients within the signal location windows may be unchanged by the thresholding. The signal location windows may be used only on a subset of decomposition levels that are thresholded. The signal location windows may be used on both the Detail components and the highest decomposition level for thresholding of the Approximation component.
    Type: Application
    Filed: June 24, 2021
    Publication date: August 17, 2023
    Applicant: CORNELL UNIVERSITY
    Inventors: Madhur SRIVASTAVA, Jack H. FREED
  • Patent number: 10891719
    Abstract: Methods, systems and programs for denoising a signal using discrete wavelet transformation are provided. For example, a method for denoising a signal may include determining a number of resolution levels to denoise, determining variable threshold(s) for each resolution level, applying the determined variable threshold(s) to denoise at least a detail component of each of the determined resolution levels. Each variable threshold includes a separately determined lower threshold and upper threshold. The method for denoising a signal may further include transforming, using an inverse discrete wavelet transformation, at least the denoised detail component for each of the determined resolution levels into a denoised signal.
    Type: Grant
    Filed: May 11, 2017
    Date of Patent: January 12, 2021
    Assignee: CORNELL UNIVERSITY
    Inventors: Madhur Srivastava, Jack H. Freed, C. Lindsay Anderson
  • Publication number: 20190287220
    Abstract: Methods, systems and programs for denoising a signal using discrete wavelet transformation are provided. For example, a method for denoising a signal may include determining a number of resolution levels to denoise, determining variable threshold(s) for each resolution level, applying the determined variable threshold(s) to denoise at least a detail component of each of the determined resolution levels. Each variable threshold includes a separately determined lower threshold and upper threshold. The method for denoising a signal may further include transforming, using an inverse discrete wavelet transformation, at least the denoised detail component for each of the determined resolution levels into a denoised signal.
    Type: Application
    Filed: May 11, 2017
    Publication date: September 19, 2019
    Inventors: Madhur SRIVASTAVA, Jack H. FREED, Lindsay C. ANDERSON