Technical Description
The invention is a method for signal enhancement using r-Wavelet that continuously loops isolated data scales through user-defined operator functions until mathematical convergence is achieved. By dynamically amplifying low-amplitude target signatures while simultaneously suppressing background noise across multi-dimensional datasets, the framework natively functions as a powerful de-noising tool.
Problems Addressed
- Background operational noise
- Low-amplitude fault frequencies
- Inability to Identify Machine Faults
- Insufficient signal separation or enhancement
Tech Features
- Agnostic to Wavelet Form & Order
- Recursive Signal Convergence
- Multi-Dimensional Scalability
- r-Wavelet Based Processing Engine
- User-Defined Generic Operator Functions
- De-noising Tool
Target Audience
- Automotive & Aerospace
- Image Processing Industries
- Medical Imaging & Diagnostics (2D & 3D)
- Industrial Manufacturing & Heavy Machinery
- Defense, Surveillance, & Aerospace Imaging
Tech ID: P16-2073 TRL 3 Patent Status: Granted Available For Exclusive and Non-exclusive License
