Abstract: Embodiments of the present disclosure relate to the field of acoustic sensing demodulation with high signal-to-noise ratio, real-time demodulation, and high sensitivity, and in particular, to a parallel sensing and demodulation system for acoustic waves based on dual optical frequency combs. The present disclosure introduces dual optical frequency combs as multi-path parallel input light sources, leveraging features of the dual optical frequency combs including narrow linewidth, stable power, high sensitivity, and the capability of precisely converting signals from the optical domain to the radio frequency domain, so the dual optical frequency combs can be used as multi-channel parallel input light sources for acoustic array detection. Besides, some embodiments of the present disclosure employ three-wavelength adaptive demodulation technology to ensure that the detection of acoustic wave signals at every moment has a high signal-to-noise ratio and improved sensitivity for detecting weak signals.

Abstract: Embodiments of the present disclosure relate to the field of acoustic sensing demodulation with high signal-to-noise ratio, real-time demodulation, and high sensitivity, and in particular, to a parallel sensing and demodulation system for acoustic waves based on dual optical frequency combs. The present disclosure introduces dual optical frequency combs as multi-path parallel input light sources, leveraging features of the dual optical frequency combs including narrow linewidth, stable power, high sensitivity, and the capability of precisely converting signals from the optical domain to the radio frequency domain, so the dual optical frequency combs can be used as multi-channel parallel input light sources for acoustic array detection. Besides, some embodiments of the present disclosure employ three-wavelength adaptive demodulation technology to ensure that the detection of acoustic wave signals at every moment has a high signal-to-noise ratio and improved sensitivity for detecting weak signals.

Abstract: The embodiments of the present disclosure provide a ranging system of a dual optical frequency comb time-of-flight manner based on dispersive Fourier transform. The embodiment of the present disclosure introduces a dispersive Fourier transform technology into a conventional dual optical frequency comb system, which amplifies a stray relationship of a pulse time domain using a dispersion element and obtains a precise position relationship of three pulses directly through interfering fringe information. Therefore, the “dead zone” in the conventional dual optical frequency comb ranging system is eliminated, and the ranging accuracy of the system is greatly improved, and a repetition frequency difference of the dual optical frequency combs can be increased to a magnitude of MHz, which greatly improves the ranging speed. The ranging system has advantages of a large measurement range, a high measurement accuracy, and a high measurement speed.

Abstract: The embodiments of the present disclosure provide a ranging system of a dual optical frequency comb time-of-flight manner based on dispersive Fourier transform. The embodiment of the present disclosure introduces a dispersive Fourier transform technology into a conventional dual optical frequency comb system, which amplifies a stray relationship of a pulse time domain using a dispersion element and obtains a precise position relationship of three pulses directly through interfering fringe information. Therefore, the “dead zone” in the conventional dual optical frequency comb ranging system is eliminated, and the ranging accuracy of the system is greatly improved, and a repetition frequency difference of the dual optical frequency combs can be increased to a magnitude of MHz, which greatly improves the ranging speed. The ranging system has advantages of a large measurement range, a high measurement accuracy, and a high measurement speed.

Abstract: A fingerprint anti-counterfeiting method and an electronic device are provided. The fingerprint anti-counterfeiting method includes: After detecting a fingerprint input action of a user, an electronic device obtains a fingerprint image generated by the fingerprint input action, and obtains a vibration-sound signal generated by the fingerprint input action. The device determines, based on a fingerprint anti-counterfeiting model, whether the fingerprint input action is performed by a true finger. The fingerprint anti-counterfeiting model is a multi-dimensional network model obtained through learning based on fingerprint images for training and corresponding vibration-sound signals. The fingerprint anti-counterfeiting method in embodiments of this application helps improve a protection capability of the electronic device for a fake fingerprint attack.

Abstract: An electronic device detects a first operation of a user; the electronic device obtains a fingerprint image and a touch signal in response to the first operation; and the electronic device determines, based on the fingerprint image and the touch signal, that the fingerprint image is a fingerprint image of a real finger or a fingerprint image of a fake finger.

Abstract: A fingerprint anti-counterfeiting method and an electronic device are provided. The fingerprint anti-counterfeiting method includes: After detecting a fingerprint input action of a user, an electronic device obtains a fingerprint image generated by the fingerprint input action, and obtains a vibration-sound signal generated by the fingerprint input action. The device determines, based on a fingerprint anti-counterfeiting model, whether the fingerprint input action is performed by a true finger. The fingerprint anti-counterfeiting model is a multi-dimensional network model obtained through learning based on fingerprint images for training and corresponding vibration-sound signals. The fingerprint anti-counterfeiting method in embodiments of this application helps improve a protection capability of the electronic device for a fake fingerprint attack.

Abstract: An electronic device detects a first operation of a user; the electronic device obtains a fingerprint image and a touch signal in response to the first operation; and the electronic device determines, based on the fingerprint image and the touch signal, that the fingerprint image is a fingerprint image of a real finger or a fingerprint image of a fake finger.