Abstract: Unsupervised feature learning via auto-encoders results in low-dimensional representations in latent space that capture the patterns of input data. The auto-encoders with robust ...
The devices are compact and cost-effective, designed to reduce the BOM, simplify board layout and accelerate time to market for power conversion, motor control and intelligent sensing applications.
Abstract: Resolvers are widely used in safety-critical and harsh environments due to their robustness against temperature, vibration, and electromagnetic interference. Conventional resolver-to-digital ...
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