Abstract: A method for teaching an electronic computing device includes at least a machine learning algorithm for predicting a position-based propagation of radio waves in an environment, including the steps of: providing a mathematical model for the position-based propagation, wherein the mathematical model includes at least a physical model for the position-based propagation in the environment generating training data for the machine learning algorithm including a propagation field and/or a propagation domain; training the machine learning algorithm by fitting the training data to a partial derivative of the machine learning algorithm; and obtaining a prediction of a propagation loss by a weighted sum of multiple evaluations of the trained machine learning algorithm. Furthermore, provided is a computer program product, a computer-readable storage medium as well as an electronic computing device.

Abstract: A method and corresponding devices for processing and transmitting information are described. A sequence of binary signals is mapped to symbols that forms a two-dimensional matrix of symbols in one of the frequency-time or time-time or time-frequency or frequency-frequency domain and which may be filtered in that domain. Selecting the diagonal elements of said matrix forms a transmit vector.