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Pattern recognition is a mature field; however, in recent years it has developed a special interest. Many methods have been developed exclusively focusing on this subject; all of them, however, are centered on certain types of patterns. In this paper, a new method, which aims to be as flexible as possible, is proposed. This technique is based on a validation standard method used in electromagnetic compatibility named feature selective validation. The final objective of developing the algorithm is to make it adaptable to diverse types of patterns. An application on the recognition of transient patterns is exposed as an example. Nevertheless, a wide range of other types of signals is likely to be treated with the same logic.Postprint (published version

In computational electromagnetic simulations, most validation methods have been developed to quantify the similarity of two datasets, making them an objective tool for test engineers to discuss data on a similar basis. However, these methods do not always agree with the expert's opinion. The main problem when a validation method is used, is not taking into account the 'preprocessing' required by the expert to analyse a particular characteristic in the comparison. In this study, two different preprocessing techniques are used to show the influence they have on the results of the validation methods in relation to the opinion of the expert. The Institution of Engineering and Technology 2013.Peer ReviewedPostprint (published version