Christoph Delfs

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A topical task is the classi cation of burst-like signals, e.g. in signal detection. Piano sounds are used here as an example. Di erent time-frequency methods including wavelet processing are used alternatively for feature extraction. A classi er checks whether the generated features are su cient to identify the correct piano. Results of the real data(More)
The classification of transient time-varying signals is important for industrial, biomedical and military applications. The attack phase of piano sounds is used as an example for transient, time-varying signals in a real data application. Discrete Fourier transform and time-invariant wavelet packet based algorithms are used alternatively for feature(More)
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