A topical task is the classification of burst-like signals, e.g. in signal detection. Piano sounds are used here as an example. Different time-frequency methods including wavelet processing are used alternatively for feature extraction. A classifier checks whether the generated features are sufficient to identify the correct piano. Results of the real data signal processing are presented and discussed.
['Christoph Delfs', 'Friedrich K. Jondral']
Classification of piano sounds using time-frequency signal analysis