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The laboratory DSB covers all important basics within the areas of Pattern Recognition as well as Speech- and Image-Processing. The lecture Signaldarstellung provides all relevant prerequisites for a successful accomplishment of the PMMK. Via an intuitive browser-interface this practical course introduces the participant into the following topics within 6 experiments: Modelling and classification of signals, analysis of speech signals, speech processing, speech recognition, various methods of image analysis, and the well known JPEG algorithm for image compression. The participants have the opportunity to experience and understand the mode of operation of the introduced algorithms with prepared speech, sound, and image samples. It is recommended to conduct almost all experiment tasks with own or self-created sounds and images for a maximum teaching effectiveness. The practical course can be conducted anytime at any multimedia PC with www-access. There are no special requirements to the client PC, except the possibility to play sound-files. The computing power is irrelevant, since all computations are performed on the server. No limitations exist regarding field of study, semester and number of participants.