Abstract:
Some demonstrative embodiments include devices, systems and methods of noise control. For example, a noise control system may be configured to process one or more first noise inputs from one or more first acoustic sensors, the one or more first noise inputs representing external noise sensed at one or more respective noise sensing locations on an outer surface of a sheltering structure; to process one or more second noise inputs from one or more second acoustic sensors, the one or more second noise inputs representing residual noise at one or more respective residual noise sensing locations on an inner surface of the sheltering structure; to determine a noise control pattern based at least on the one or more first noise inputs and the one or more second noise inputs; and to generate one or more control signals to control acoustic signals generated by one or more acoustic transducers based on the noise control pattern.
Abstract:
Active noise control system and methods are disclosed that include generating anti-noise that is configured to reduce or cancel noise occurring at a listening position in the ambiance of a seat with a backrest enclosing a hollow volume, and radiating the anti-noise from within the hollow volume of the backrest of the seat.
Abstract:
In accordance with systems and methods of the present disclosure, an adaptive noise cancellation system may include an alignment filter configured to correct misalignment of a reference microphone signal and an error microphone signal by generating a misalignment correction signal.
Abstract:
An active road noise control includes generating with a sensor arrangement a primary sense signal representative of accelerations, motions and/or vibrations that occur at a first position on a vehicle body, and providing a noise reducing signal by processing the primary sense signal according to an adaptive mode of operation or a non-adaptive mode of operation. It includes generating within the vehicle body noise reducing sound at the second position from the noise reducing signal, and evaluating the primary sense signal and controlling the processing of the primary sense signal so that the primary sense signal is processed in the adaptive mode of operation when the magnitude of the primary sense signal undercuts a first threshold and in the non-adaptive mode of operation when the magnitude of the primary sense signal exceeds a second threshold, the first threshold being equal to or smaller than the second threshold.
Abstract:
The invention relates to a noise reduction device for a dental instrument (1) for the dental treatment of a patient, having - at least one sound sensor (3) arranged on the dental instrument (1), - at least one sound generator (4) arranged on the dental instrument (1), - at least one electronic control module which is connected to the sound sensor (3) and the sound generator (4) in order to analyse the sound signals picked up by the sound sensor (3), to calculate signals for active noise compensation and to pass them to the sound generator (4). The problem addressed by the invention is that of configuring a noise reduction device and method for a dental instrument in as efficient and simple a manner as possible. This problem is solved by the following features: - the sound sensor (3) is arranged on a region of the dental instrument (1) which is located in the oral cavity or close to the mouth opening of the patient while the patient is being treated with the dental instrument (1); - the sound generator (4) is arranged on a region of the dental instrument (1) which is located in the oral cavity or close to the mouth opening of the patient while the patient is being treated with the dental instrument (1); - the distance between the sound sensor (3) and the sound generator(4) has a fixed and known value which is stored in the control module for calculating the signals for active noise compensation.
Abstract:
The adaptive reference model algorithm uses a gain scheduling feature combined with a customized Least-Squares routine as an adaptive method for adjusting feedback control so as to account for variations in Transfer Function (G), thereby optimizing the effectiveness of the Active Vibration Control (AVC) System. The Least-Squares routine identifies the transfer function in a background process without interruption of closed loop vibration control. This identification approach is accomplished without intentional interrogation of the AVC actuators and without intentional vibration level changes. For this adaptive control logic, the dynamic relationship between AVC actuators and AVC sensors is represented by a mathematical model of Transfer Function (G). The mathematical model of Transfer Function (G) is continuously updated by the Least-Squares routine. A feedback gain (H) is computed from the mathematical model of Transfer Function (G), and the feedback gain (H) is updated each time the mathematical model of Transfer Function (G) is updated.
Abstract:
The present disclosure relates to vehicles. In an aspect of the present disclosure, there is provided a method of controlling a vehicle configured to control noise from a road. The method includes: receiving an input signal depending on conditions of the road; extracting at least one root mean square (RMS) value based on the received input signal; determining whether to update a filter related to road noise control based on the at least one RMS value; and outputting a noise control audio signal in response to the input signal through a speaker.