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Markus Christoph

Publications -  6
Citations -  327

Markus Christoph is an academic researcher. The author has contributed to research in topics: Signal & Noise floor. The author has an hindex of 5, co-authored 6 publications receiving 327 citations.

Papers
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Patent

Active noise control system

TL;DR: In this paper, an active noise control (ANC) system with a plurality of microphones and a multiplicity of loudspeakers is described. And the adaptive filter bank is configured to filter the reference signal to provide the loudspeaker signals as filtered signals.
Patent

Active noise reduction system

TL;DR: In this paper, a system for actively reducing noise at a listening point, including an earphone housing, a transmitting transducer, a receiving transducers and a controller, is described.
Patent

Adaptive noise control system and method

TL;DR: Adaptive noise control systems and methods for reducing power of an acoustic noise signal radiated from a noise source to a listening position are disclosed in this paper, that include: providing an electrical reference signal correlated with the acoustic noise, filtering and multiplying the electrical output signal of the adaptive filter by the inverse of the gain factor to provide a second electrical compensation signal, the second gain factor being equal to 1 subtracted by the first gain factor.
Patent

Adaptive noise control system with improved robustness

TL;DR: In this paper, a method for determining an estimation of a secondary path transfer characteristic in an ANC system is described, which includes the positioning of a microphone array in a listening room symmetrically with respect to a desired listening position and reproducing at least one test signal using a loudspeaker arranged within the listening room to generate an acoustic signal.
Patent

Adaptive noise control system with secondary path estimation

TL;DR: In this paper, an active noise cancellation system includes an adaptive filter, a signal source, an acoustic actuator, a microphone, a secondary path and an estimation unit, where the adaptive filter receives a reference signal representing noise, and provides a compensation signal in response to the received reference signal.