Abstract: An optimization method of automatically optimizing a performance parameter of a signal generator circuit is described. An RF output signal is generated by the signal generator circuit. A performance parameter of the signal generator circuit is determined based on the RF output signal by the control circuit. At least one operational parameter of the signal generator circuit is adapted by the control circuit in order to optimize the performance parameter. Further, a signal generator circuit is described.

Abstract: In an example embodiment, an additional classifier is introduced to an autoencoder neural network. The additional classifier performs an additional classification task during the training and testing phases of the autoencoder neural network. More precisely, the autoencoder neural network learns to classify the domain (or origin) of each specific input sample. This leads to additional contextual awareness in the autoencoder neural network, which improves the reconstruction quality during both the training and testing phases. Thus, the technical problem of decreased autoencoder neural network reconstruction quality caused by high data variance is addressed.

Abstract: In one embodiment the semiconductor laser comprises a carrier and an edge-emitting laser diode which is mounted on the carrier and which comprises an active zone for generating a laser radiation and a facet with a radiation exit region. The semiconductor laser further comprises a protective cover, preferably a lens for collimation of the laser radiation. The protective cover is fastened to the facet and to a side surface of the carrier by means of an adhesive. A mean distance between a light entrance side of the protective cover and the facet is at most 60 ?m. The semiconductor laser is configured to be operated in a normal atmosphere without additional gas-tight encapsulation.

Abstract: Tomographic data representing an imaged three-dimensional object is divided into macro blocks and filtered by visibility and presence in a projected frame of a rendered three-dimensional object to speed rendering of the object. The data are loaded and rendered in parallel for improved speed and capacity.

Abstract: Tomographic data representing an imaged three-dimensional object is divided into macro blocks and filtered by visibility and presence in a projected frame of a rendered three-dimensional object to speed rendering of the object. The data are loaded and rendered in parallel for improved speed and capacity.