A method for compressing digital signal data obtained from an electromagnetic signal, with the following steps: - receiving digital signal data associated with the electromagnetic signal and/or generating digital signal data based on the electromagnetic signal; - transforming the digital signal data into a transform domain, thereby generating transformed digital signal data; - determining at least one characteristic parameter based on the transformed digital signal data by means of an artificial intelligence module; - detecting and/or classifying at least one wanted signal portion based on the at least one characteristic parameter by means of the artificial intelligence module; and - storing only a subset of the digital signal data that is associated with the at least one wanted signal portion, wherein the artificial intelligence module comprises a machine learning module, wherein the machine learning module is trained to detect and/or classify the at least one wanted signal portion, characterized in that the at least one characteristic parameter comprises a correlation multi-dimensional algebraic object comprising several correlation parameters, wherein entries of the correlation multi-dimensional algebraic object each are a correlation parameter comprising correlation information on the signal, wherein an image is generated based on the determined correlation parameters, wherein the machine-learning module applies image processing and/or image recognition techniques to the generated image in order to detect and/or classify the at least one wanted signal portion, and/or wherein a spectrogram of the digital signal data is determined based on the transformed digital signal data, wherein an image is generated based on the determined spectrogram, wherein the machine-learning module applies image processing and/or image recognition techniques to the generated image in order to detect and/or classify the at least one wanted signal portion, wherein the determined correlation multi-dimensional algebraic object is used as additional metadata for the machine learning module. - receiving digital signal data associated with the electromagnetic signal and/or generating digital signal data based on the electromagnetic signal; - transforming the digital signal data into a transform domain, thereby generating transformed digital signal data; - determining at least one characteristic parameter based on the transformed digital signal data by means of an artificial intelligence module; - detecting and/or classifying at least one wanted signal portion based on the at least one characteristic parameter by means of the artificial intelligence module; and - storing only a subset of the digital signal data that is associated with the at least one wanted signal portion, wherein the artificial intelligence module comprises a machine learning module, wherein the machine learning module is trained to detect and/or classify the at least one wanted signal portion, characterized in that the at least one characteristic parameter comprises a correlation multi-dimensional algebraic object comprising several correlation parameters, wherein entries of the correlation multi-dimensional algebraic object each are a correlation parameter comprising correlation information on the signal, wherein an image is generated based on the determined correlation parameters, wherein the machine-learning module applies image processing and/or image recognition techniques to the generated image in order to detect and/or classify the at least one wanted signal portion, and/or wherein a spectrogram of the digital signal data is determined based on the transformed digital signal data, wherein an image is generated based on the determined spectrogram, wherein the machine-learning module applies image processing and/or image recognition techniques to the generated image in order to detect and/or classify the at least one wanted signal portion, wherein the determined correlation multi-dimensional algebraic object is used as additional metadata for the machine learning module.