Abstract: A TTCN-based test system for testing test-cases is provided. The test system includes a test executable which includes a compiled TTCN code. A simulated device under test (DUT) includes a pre-recorded log-file which describes at least partially the behavior of the simulated DUT. A test runtime interface is provided between the test executable and the simulated DUT. A test computer (PC) is configured to perform the testing by executing the compiled TTCN code and by exchanging via the test runtime interface protocol messages with the simulated DUT during the execution of the compiled TTCN code. A TTCN-based test method for testing test-cases and a non-transitory computer-readable recording medium is also provided.

Abstract: The present invention relates to a TTCN-based test system for testing test-cases is provided, the test system comprising: a test executable comprising a compiled TTCN code, a simulated device under test (DUT) comprising a pre-recorded log-file which describes at least partially the behavior of the simulated DUT, a test runtime interface between the test executable and the simulated DUT, a test computer (PC) which is configured to perform the testing by executing the compiled TTCN code and by exchanging via the test runtime interface protocol messages with the simulated DUT during the execution of the compiled TTCN code. The invention further relates to a TTCN-based test method for testing test-cases and a non-transitory computer-readable recording medium.

Abstract: A computer implemented signal processing method to perform a cross-calculation between a first and a second signal by performing a cross-correlation for segments of said first signal with said second signal to obtain a plurality of partial cross correlation functions, obtaining a combined cross-correlation function by combining said partial cross-correlation functions to obtain a combined cross-correlation function, applying an outlier detection or outlier removal approach to identify or remove those segments which are disturbed or corrupted, and re-combining said partial cross-correlation functions without the ones which have been identified as disturbed or corrupted to obtain a less disturbed or less corrupted final cross-correlation function.

Abstract: A method determining the temporal relationship between a first video sequence and a second video sequence, said method comprising: obtaining from said first video sequence a first parameter such that the evolvement of said first parameter over time corresponds to the change of the entropy of said first video sequence over time; obtaining from said second video sequence a second parameter such that the evolvement of said second parameter over time corresponds to the change of the entropy of said second video over time; matching the evolvement of said first parameter over time to the evolvement of said second parameter over time to thereby determine the temporal relationship between the two video sequences.