Abstract: System and methods that cancel artifacts of stimulation signals from neural signals are disclosed. In several embodiments, the systems and methods determine a threshold value for the neural signal in the absence of artifacts. The threshold value can then be used to detect an artifact in received neural signals. In a number of embodiments, a template can be used to cancel an artifact from a neural signal in response to the neural signal being greater than the threshold value.

Abstract: A system that performs wall detection, range estimation, corner detection and/or angular estimation. The system may determine an aggregate impulse response (e.g., impulse response of all components in a room) and may perform a deconvolution to remove a system impulse response (e.g., impulse response associated with loudspeaker(s) and microphone(s)). Thus, the system may use a sparse deconvolution algorithm to estimate a room impulse response (e.g., determine acoustic characteristics of the room). The system may detect a peak in the room impulse response and determine a distance and/or direction to an acoustically reflective surface based on the peak.

Abstract: System and methods that cancel artifacts of stimulation signals from neural signals are disclosed. In several embodiments, the systems and methods determine a threshold value for the neural signal in the absence of artifacts. The threshold value can then be used to detect an artifact in received neural signals. In a number of embodiments, a template can be used to cancel an artifact from a neural signal in response to the neural signal being greater than the threshold value.