Most embedded engineers writing firmware have used some sort of digital filters to clean up data coming from various inputs such as ADCs, sensors with digital outputs, other processors, etc. Many ...
Integrating GAN-based machine learning with nonlinear Kalman filtering for enhanced state estimation
This study introduces a novel approach for enhancing state estimation in non-linear dynamic systems by integrating Generative Adversarial Networks (GANs) with the Unscented Kalman Filter (UKF). While ...
The reservoir computing neural network architecture is widely used to test hardware systems for neuromorphic computing. One of the preferred tasks for bench-marking such devices is automatic speech ...
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