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Spiking signal processing: Principle and applications in control system
- Source :
- Neurocomputing. 308:31-48
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- This paper introduces an innovative interpretation of spiking signal processing (SSP) and proposes applications in control system. Taking the firing rate as the coding principle employed by biological neurons, we have transformed continuous signals in geometric spiking series evolving over time. New fundamental SSP equations are presented and compared to classical digital signal processing (DSP). Application to the linear system analysis and control drive using spiking transformation is finally presented. This paper launches the theoretical SSP basis to investigate more deeply the geometric neural networks with learning ability.
- Subjects :
- Signal processing
Quantitative Biology::Neurons and Cognition
Artificial neural network
business.industry
Computer science
Cognitive Neuroscience
Linear system
020206 networking & telecommunications
02 engineering and technology
Computer Science Applications
Artificial Intelligence
Control system
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
020201 artificial intelligence & image processing
business
Digital signal processing
Subjects
Details
- ISSN :
- 09252312
- Volume :
- 308
- Database :
- OpenAIRE
- Journal :
- Neurocomputing
- Accession number :
- edsair.doi...........ede79a152bfef37eee9faf3078eea3ff