Abstract: Embodiments described herein generally relate to analyzing a signal generated by a device under test (DUT). In particular, the signal generated by the DUT may be compared to a reference signal to determine pass/fail results for the DUT. For example, a method may include: storing, on a computing device, a reference signal from a reference device; receiving a test signal from a device under test (DUT); synchronizing the reference signal and the test signal based on a time-synchronization buffer of each signal; after the synchronization, comparing the test signal and the reference signal to determine a pass or fail result for the DUT; and generating a notification indicating the pass or fail result for the DUT.

Abstract: Embodiments described herein generally relate to analyzing a signal generated by a device under test (DUT). In particular, the signal generated by the DUT may be compared to a reference signal to determine pass/fail results for the DUT. For example, a method may include: storing, on a computing device, a reference signal from a reference device; receiving a test signal from a device under test (DUT); synchronizing the reference signal and the test signal based on a time-synchronization buffer of each signal; after the synchronization, comparing the test signal and the reference signal to determine a pass or fail result for the DUT; and generating a notification indicating the pass or fail result for the DUT.

Abstract: Embodiments described herein relate to methods and apparatus for outputting a haptic signal to a haptic transducer. A method for triggering a haptic signal being output to a haptic transducer comprises receiving an audio signal for output through an audio output transducer; determining whether the audio signal comprises a haptic trigger based on an indication of a rate of change of an amplitude of the audio signal, and responsive to determining that the audio signal comprises a haptic trigger, triggering the haptic signal to be output to the haptic transducer.

Abstract: The present application relates systems, devices, and methods for providing objective quality classifications and/or assessments of analog electrical audio signals. Such classifications and assessments are helpful for objectively evaluating the performance of certain audio hardware, for example, audio converters, amplifiers, etc. Embodiments of the present application provide exemplary devices, hardware, and methods.

Abstract: Embodiments described herein generally relate to analyzing a signal generated by a device under test (DUT). In particular, the signal generated by the DUT may be compared to a reference signal to determine pass/fail results for the DUT. For example, a method may include: storing, on a computing device, a reference signal from a reference device; receiving a test signal from a device under test (DUT); synchronizing the reference signal and the test signal based on a time-synchronization buffer of each signal; after the synchronization, comparing the test signal and the reference signal to determine a pass or fail result for the DUT; and generating a notification indicating the pass or fail result for the DUT.

Abstract: Embodiments described herein generally relate to analyzing a signal generated by a device under test (DUT). In particular, the signal generated by the DUT may be compared to a reference signal to determine pass/fail results for the DUT. For example, a method may include: storing, on a computing device, a reference signal from a reference device; receiving a test signal from a device under test (DUT); synchronizing the reference signal and the test signal based on a time-synchronization buffer of each signal; after the synchronization, comparing the test signal and the reference signal to determine a pass or fail result for the DUT; and generating a notification indicating the pass or fail result for the DUT.

Abstract: This utility patent application describes a novel hardware design for a portable DC power supply system. The system includes a lithium-ion battery cell, DC/DC boost converter circuit, LED DC voltage/energy monitoring circuit, charging circuit, and various hardware switches and connectors. The system may include a secondary battery cell for additional backup in case the primary cell runs out of energy or becomes damaged. Each battery cell is protected with advanced safety protection circuitry and a manual disconnect switch to prevent thermal runaway events. The system features automatic charging and can be recharged from multiple sources, enabling off-grid charging. The LED voltage/power metering allows easy status monitoring, and the system is designed for long reliability performance and top-class lithium-ion battery safety. The system is operated manually with hardware switches to minimize software failure points.

Abstract: Embodiments described herein relate to methods and apparatus for outputting a haptic signal to a haptic transducer. A method for triggering a haptic signal being output to a haptic transducer comprises receiving an audio signal for output through an audio output transducer; determining whether the audio signal comprises a haptic trigger based on an indication of a rate of change of an amplitude of the audio signal, and responsive to determining that the audio signal comprises a haptic trigger, triggering the haptic signal to be output to the haptic transducer.

Abstract: Embodiments described herein relate to methods and apparatus for outputting a haptic signal to a haptic transducer. A method for triggering a haptic signal being output to a haptic transducer comprises receiving an audio signal for output through an audio output transducer; determining whether the audio signal comprises a haptic trigger based on an indication of a rate of change of an amplitude of the audio signal, and responsive to determining that the audio signal comprises a haptic trigger, triggering the haptic signal to be output to the haptic transducer.

Abstract: Embodiments described herein generally relate to measuring and evaluating a test signal generated by a device under test (DUT). In particular, the test signal generated by the DUT may be compared to a reference signal and scored based on the comparison. For example, a method may include: capturing a test signal from a device under test; splicing the test signal into a plurality of test audio files based on a plurality of frequency bins; at each frequency bin, comparing each of the plurality of test audio files to a corresponding reference audio file from among a plurality of reference audio files, the plurality of reference audio files being associated with a reference signal; and calculating a performance score of the device under test based on the comparisons.

Abstract: Embodiments described herein generally relate to analyzing a signal generated by a device under test (DUT). In particular, the signal generated by the DUT may be compared to a reference signal to determine pass/fail results for the DUT. For example, a method may include: storing, on a computing device, a reference signal from a reference device; receiving a test signal from a device under test (DUT); synchronizing the reference signal and the test signal based on a time-synchronization buffer of each signal; after the synchronization, comparing the test signal and the reference signal to determine a pass or fail result for the DUT; and generating a notification indicating the pass or fail result for the DUT.

Abstract: Embodiments described herein generally relate to measuring and evaluating a test signal generated by a device under test (DUT). In particular, the test signal generated by the DUT may be compared to a reference signal and scored based on the comparison. For example, a method may include: capturing a test signal from a device under test; splicing the test signal into a plurality of test audio files based on a plurality of frequency bins; at each frequency bin, comparing each of the plurality of test audio files to a corresponding reference audio file from among a plurality of reference audio files, the plurality of reference audio files being associated with a reference signal; and calculating a performance score of the device under test based on the comparisons.

Abstract: Embodiments described herein generally relate to measuring and evaluating a test signal generated by a device under test (DUT). In particular, the test signal generated by the DUT may be compared to a reference signal and scored based on the comparison. For example, a method may include: capturing a test signal from a device under test; splicing the test signal into a plurality of test audio files based on a plurality of frequency bins; at each frequency bin, comparing each of the plurality of test audio files to a corresponding reference audio file from among a plurality of reference audio files, the plurality of reference audio files being associated with a reference signal; and calculating a performance score of the device under test based on the comparisons.

Abstract: Embodiments described herein generally relate to analyzing a signal generated by a device under test (DUT). In particular, the signal generated by the DUT may be compared to a reference signal to determine pass/fail results for the DUT. For example, a method may include: storing, on a computing device, a reference signal from a reference device; receiving a test signal from a device under test (DUT); synchronizing the reference signal and the test signal based on a time-synchronization buffer of each signal; after the synchronization, comparing the test signal and the reference signal to determine a pass or fail result for the DUT; and generating a notification indicating the pass or fail result for the DUT.

Abstract: Embodiments described herein generally relate to measuring and evaluating a test signal generated by a device under test (DUT). In particular, the test signal generated by the DUT may be compared to a reference signal and scored based on the comparison. For example, a method may include: capturing a test signal from a device under test; splicing the test signal into a plurality of test audio files based on a plurality of frequency bins; at each frequency bin, comparing each of the plurality of test audio files to a corresponding reference audio file from among a plurality of reference audio files, the plurality of reference audio files being associated with a reference signal; and calculating a performance score of the device under test based on the comparisons.

Abstract: Embodiments described herein generally relate to analyzing a signal generated by a device under test (DUT). In particular, the signal generated by the DUT may be compared to a reference signal to determine pass/fail results for the DUT. For example, a method may include: storing, on a computing device, a reference signal from a reference device; receiving a test signal from a device under test (DUT); synchronizing the reference signal and the test signal based on a time-synchronization buffer of each signal; after the synchronization, comparing the test signal and the reference signal to determine a pass or fail result for the DUT; and generating a notification indicating the pass or fail result for the DUT.

Abstract: Embodiments described herein generally relate to measuring and evaluating a test signal generated by a device under test (DUT). In particular, the test signal generated by the DUT may be compared to a reference signal and scored based on the comparison. For example, a method may include: capturing a test signal from a device under test; splicing the test signal into a plurality of test audio files based on a plurality of frequency bins; at each frequency bin, comparing each of the plurality of test audio files to a corresponding reference audio file from among a plurality of reference audio files, the plurality of reference audio files being associated with a reference signal; and calculating a performance score of the device under test based on the comparisons.

Abstract: Embodiments described herein relate to methods and apparatus for outputting a haptic signal to a haptic transducer. A method for triggering a haptic signal being output to a haptic transducer comprises receiving an audio signal for output through an audio output transducer; determining whether the audio signal comprises a haptic trigger based on an indication of a rate of change of an amplitude of the audio signal, and responsive to determining that the audio signal comprises a haptic trigger, triggering the haptic signal to be output to the haptic transducer.

Abstract: Embodiments described herein relate to methods and apparatus for outputting a haptic signal to a haptic transducer. A method for triggering a haptic signal being output to a haptic transducer comprises receiving an audio signal for output through an audio output transducer; determining whether the audio signal comprises a haptic trigger based on an indication of a rate of change of an amplitude of the audio signal, and responsive to determining that the audio signal comprises a haptic trigger, triggering the haptic signal to be output to the haptic transducer.

Abstract: Embodiments described herein relate to methods and apparatus for outputting a haptic signal to a haptic transducer. A method for triggering a haptic signal being output to a haptic transducer comprises receiving an audio signal for output through an audio output transducer; determining whether the audio signal comprises a haptic trigger based on an indication of a rate of change of an amplitude of the audio signal, and responsive to determining that the audio signal comprises a haptic trigger, triggering the haptic signal to be output to the haptic transducer.