Abstract: In several aspects for querying a data source represented by data object embeddings in a vector space, a processor inputs, to a trained embedding generation model, a received query and at least one token for receiving from the trained embedding generation model a set of embeddings of the vector space. The set of embeddings comprises an embedding of the received query and at least one embedding of the at least one token respectively, wherein the embedding of each token is a prediction of an embedding of a supplement of the query. The data object embeddings may be searched for data object embeddings that match the set of embeddings. This may result in search result embeddings of the set of embeddings. Data objects that are represented by the search result embeddings may be determined. At least part of the determined data objects may be provided.

Abstract: A method for direction finding is described wherein incoming signals are scanned and analyzed. The bearing value and its quality of the incoming signals are determined by using a direction finding method. A covariance matrix is generated from the incoming signals by using a multiple-wave detector unit. The dimension of the covariance matrix is reduced in order to obtain a reduced covariance matrix. The eigenvalues of the reduced covariance matrix are determined. Then, it is determined whether more than one signal, a single signal or no signal is detected by using the eigenvalues and the quality determined by using the direction finding method. Further, a direction finder is described.

Abstract: A method for direction finding is described wherein incoming signals are scanned and analyzed. The bearing value and its quality of the incoming signals are determined by using a direction finding method. A covariance matrix is generated from the incoming signals by using a multiple-wave detector unit. The dimension of the covariance matrix is reduced in order to obtain a reduced covariance matrix. The eigenvalues of the reduced covariance matrix are determined. Then, it is determined whether more than one signal, a single signal or no signal is detected by using the eigenvalues and the quality determined by using the direction finding method. Further, a direction finder is described.