Delay Line Reservoir Computer Structure
Delay Line Reservoir Computing (DLRC) is a recently introduced paradigm in the fields of machine learning and artificial neural networks (ANN). The Applied Physics Research Group (APHY) of the VUB developed a novel cascaded DLRC structure, aimed at real-time signal processing.
Our cascaded DLRC structure offers short-cycle supervised learning of complex nonlinear transformations from example and generalization to previously unseen inputs.
- Nonlinear real-time audio processing
- Timeseries forecasting
- Noise suppression
- Dropout compensation
- General nonlinear filtering
Innovation Strengths / Competitive Advantages
- Implementable as (embedded) DSP software or as IP block in an FPGA
- Scalable and customizable
- Simplified and fast training as compared to other ANN
- Learning and execution platforms can be different
- On-the-fly target function reconfiguration is possible
Market Opportunities / Industrial Target Group
Our DLRC solution can be applied in any situation where sensor signals or input data needs to be discriminated, classified, or transformed via an a priori unknown or difficult to describe function or set of rules, defined by a (possibly limited) set of input-output examples.
Our target audience consists of the key players in the automotive, medical and industrial high-tech industries, challenged by complex, possibly real-time, signal processing requirements.
Reservoir Computing Device, European patent application nr. EP15200681.3 Filed: 17 Dec. 2015.
The Applied Physics Group of the Vrije Universiteit Brussel offers licensing, R&D partnerships and training to implement fully-tailored Delay Line Reservoir Computer solutions to your specific signal processing requirements.
Interested parties can contact
[T]: +32 (0)2 629 38 65 or 22 07
Lars Keuninckx, Guy Van der Sande, Jan Danckaert,
Applied Physics Research Group (APHY),
Pleinlaan 2, Building F, 9th floor,
signal processing, forecasting, reservoir computing, artificial neural networks.