Laurent Demanet

Title: Laurent Demanet: Innovator in Digital Transformations

Introduction

Laurent Demanet is a notable inventor based in Pasadena, CA, recognized for his contributions to the field of data processing. He holds a patent that showcases innovative methods for performing fast discrete curvelet transforms of data. His work has significant implications for enhancing data processing efficiency.

Latest Patents

Demanet's patent, titled "Methods for performing fast discrete curvelet transforms of data," introduces fast digital implementations of the second generation curvelet transform. This patent focuses on two digital transformations: one based on unequally-spaced fast Fourier transforms (USFFT) and another on the wrapping of specially selected Fourier samples. Both implementations yield a table of digital curvelet coefficients indexed by scale, orientation, and spatial location parameters. They are designed to operate efficiently, running in approximately O(n log n) flops for n by n Cartesian arrays, or O(N log N) flops for Cartesian arrays of size N=n. Additionally, these transformations are invertible, featuring rapid inversion algorithms of similar complexity.

Career Highlights

Throughout his career, Laurent Demanet has worked with prestigious institutions, including the California Institute of Technology and Stanford University. His experience in these environments has allowed him to refine his skills and contribute to significant advancements in data processing technologies.

Collaborations

Demanet has collaborated with esteemed colleagues such as Emmanuel J. Candes and David Leigh Donoho. These partnerships have further enriched his research and innovation in the field.

Conclusion

Laurent Demanet's work in digital transformations exemplifies the intersection of mathematics and technology, paving the way for more efficient data processing methods. His contributions continue to influence the field and inspire future innovations.