Method and device for noise suppression in a data processing arrangement

A method and device for noise suppression in a data processing device may have input data entered into a storage device and saved as storage data, the storage data may be processed by a data processor and may be output as output data from the storage device. The input data may be scaled with an inpu...

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Hauptverfasser: LUECKING DIETER, PFISTER FLORIAN, VIERTHALER MATTHIAS
Format: Patent
Sprache:eng
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Zusammenfassung:A method and device for noise suppression in a data processing device may have input data entered into a storage device and saved as storage data, the storage data may be processed by a data processor and may be output as output data from the storage device. The input data may be scaled with an input scaling value from a scaling device, and the output data may be scaled with an output scaling value from the scaling device. When the input scaling value may be altered, the storage data may also be altered for noise suppression. The storage device and/or the scaling device may be configured and/or actuated such that the storage data may be changed in accordance with a change in the input scaling value. Some or all of the storage data may be changed in accordance with a change in the input scaling value, and upon a change in the input scaling value by a change value the storage data may also be changed with the same change value. Upon a change in the input scaling value, the output scaling value may be changed, and upon a change in the input scaling value by the change value, the output scaling value may be changed by the same change value. The output scaling value may be the inverse of the input scaling value, and the input scaling value may be changed if a value of the input data goes above or below a threshold value. The input scaling value may also be changed if a predetermined number of the input data values of the input data and/or the input data values for a predetermined duration go above or below a threshold value (e.g., in averaged or weighted manner). Upon going above the threshold value, the input scaling value may be set at a predetermined value. Upon going above or below the threshold value, the input scaling value may be changed by a scaling step value as the change value. A change in the storage data may occur at the same time as a change in the input scaling value, and a change in the output scaling value may occur at the same time as a change in the input scaling value.