This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Commissariat a L'energie Atomique Et Aux Energies Alternatives. Active years: 2020.
Company Filing History:
Years Active: 2020
Title: Marguerite Marnat: Innovator in Wavelet Bandpass Sampling
Introduction
Marguerite Marnat is a notable inventor based in Grenoble, France. She has made significant contributions to the field of signal processing, particularly through her innovative methods in wavelet bandpass sampling. Her work is characterized by a focus on reducing aliasing in sampled signals, which is crucial for various applications in technology and communications.
Latest Patents
Marguerite Marnat holds a patent for a "Method for bandpass sampling by position modulated wavelets." This invention relates to a wavelet bandpass sampling method that minimizes aliasing while providing a corresponding device. The method involves correlating an analogue signal with a sequence of wavelets that are temporally modulated based on a CAZAC sequence, specifically a Zadoff-Chu sequence. The results of this correlation are sampled at a specific frequency and digitally converted to yield a compressed representation of the signal. The innovative temporal modulation of the wavelet positions allows for incoherent aliasing of the correlation signal, effectively reducing aliasing within the sampling band.
Career Highlights
Marguerite Marnat is associated with the Commissariat à l'énergie atomique et aux énergies alternatives, a prominent research institution in France. Her work at this institution has allowed her to explore advanced methodologies in signal processing and contribute to the development of new technologies.
Collaborations
Marguerite has collaborated with notable colleagues, including Michael Pelissier and Michaël Pelissier. These collaborations have further enriched her research and innovation in the field.
Conclusion
Marguerite Marnat's contributions to wavelet bandpass sampling exemplify her innovative spirit and dedication to advancing technology. Her patent reflects a significant step forward in reducing aliasing in signal processing, showcasing her expertise and impact in the field.