Layer Signals

Learn how to build modern Angular applications by leveraging the new Signals API. Learn common signal-based UI patterns.

Learn how to build modern Angular applications by leveraging the new Signals API. Learn common signal-based UI patterns.

Learn how to build modern Angular applications by leveraging the new Signals API. Learn common signal-based UI patterns.

Recent advancements in the field of telecommunications, medical imaging and signal processing deal with signals that are inherently time varying, nonlinear and complex-valued. The time varying, nonlinear characteristics of these signals can be effectively analyzed using artificial neural networks.

Michael Rich Ruth has composed ambient music for a long time. After a break from years touring with different bands, he spent his free time in a small home studio in North Nashville. The blueprints for ‘Calming Signals’ began to emerge through a more dedicated focus on the diverse traditions of ambient, new age, spiritual jazz, and minimalist music. The ideas became realized pieces when Ruth started to collaborate with friends. These players transformed the material into something much more lush and unpredictable; pairing repetitive, droning synthesizer movements with organic improvisation.

This work proposes the multilayered information fusion system MACRO (multilayer attribute-based conflict-reducing observation) and the µBalTLCS (fuzzified balanced two-layer conflict solving) fusion algorithm to reduce the impact of conflicts on the fusion result. In addition, a sensor defect detection method, which is based on the continuous monitoring of sensor reliabilities, is presented.