Abstract: The present disclosure relates to systems and methods for synchronizing audio and video. The systems and methods may perform operations including: obtaining a data stream including a sequence of video frames and a sequence of audio samples; inputting the sequence of video frames into a video channel, the sequence of video frames being processed and outputted from the video channel; inputting, for processing, the sequence of audio samples into an audio channel, the audio channel including a data buffer configured to buffer processed audio samples, a volume threshold of the data buffer being determined according to a time for processing one or more successive video frames; determining that a data volume of audio samples buffered in the data buffer exceeds the volume threshold; and in response to a determination that the data volume of buffered audio samples exceeds the volume threshold, outputting the buffered audio samples from the audio channel.

Abstract: The present disclosure relates to systems and methods for synchronizing audio and video. The systems and methods may perform operations including: obtaining a data stream including a sequence of video frames and a sequence of audio samples; inputting the sequence of video frames into a video channel, the sequence of video frames being processed and outputted from the video channel; inputting, for processing, the sequence of audio samples into an audio channel, the audio channel including a data buffer configured to buffer processed audio samples, a volume threshold of the data buffer being determined according to a time for processing one or more successive video frames; determining that a data volume of audio samples buffered in the data buffer exceeds the volume threshold; and in response to a determination that the data volume of buffered audio samples exceeds the volume threshold, outputting the buffered audio samples from the audio channel.

Abstract: A method including determining a cerebral ischemia region of a patient based on a magnetic resonance diffusion weighted imaging of the patient; determining a DWI gray scale distribution parameter in a region with low ADC values in the magnetic resonance diffusion weighted imaging; and judging whether the DWI in the region with low ADC values in the magnetic resonance diffusion weighted imaging and the ADC values in the region with low ADC values in the magnetic resonance diffusion weighted imaging are mismatched according to the DWI gray scale distribution parameter in the region with low ADC values in the magnetic resonance diffusion weighted imaging is disclosed. The method provides a more scientific and objective basis for making a decision on whether the acute cerebral ischemia patient should be treated with thrombolysis, thereby improving a cure rate of the cerebral ischemia patient.

Abstract: The present invention disclose a method and apparatus for determining characteristics of cerebral ischemia based on magnetic resonance diffusion weighted imaging, so as to provide a more objective basis for determining whether an acute cerebral ischemia patient should be treated with thrombolysis.

Abstract: An optical fiber for use in a Coherent Anti-Stokes Raman Scattering (CARS) endoscope, comprising a core guiding lightwaves at a pump wavelength and at a Stokes wavelength, the core being single-mode at both wavelengths. The core is surrounded by cladding layers, including an inner cladding layer, a trench cladding layer, an intermediate cladding layer and an outer cladding layer. The refractive index of the trench cladding layer is lower than those of both neighboring cladding layers so as to define a trench in the radial refractive-index profile. The bending losses of the fundamental LP01 mode of the fiber at the Stokes wavelength are limited while maintaining high confinement losses for the higher-order LP11 mode of the fiber at the pump wavelength. The combination of the intermediate and outer cladding layers forms a multimode waveguide for guiding a collected CARS signal generated by an object or medium probed with the endoscope.

Abstract: An optical fiber for use in a Coherent Anti-Stokes Raman Scattering (CARS) endoscope, comprising a core guiding lightwaves at a pump wavelength and at a Stokes wavelength, the core being single-mode at both wavelengths. The core is surrounded by cladding layers, including an inner cladding layer, a trench cladding layer, an intermediate cladding layer and an outer cladding layer. The refractive index of the trench cladding layer is lower than those of both neighboring cladding layers so as to define a trench in the radial refractive-index profile. The bending losses of the fundamental LP01 mode of the fiber at the Stokes wavelength are limited while maintaining high confinement losses for the higher-order LP11 mode of the fiber at the pump wavelength. The combination of the intermediate and outer cladding layers forms a multimode waveguide for guiding a collected CARS signal generated by an object or medium probed with the endoscope.

Abstract: Multi-cladding optical fibers to be used in the context of fiber amplifiers and fiber lasers are described herein. Embodiments of optical fibers include a rare-earth doped core into which the signal field is to be amplified. The doped core is surrounded by multiple claddings that guide the pump field to be absorbed by the reactive core material. The first cladding has a depressed refractive index to improve high-order mode bending losses without incurring significant fundamental mode bending losses.

Abstract: Multi-cladding optical fibers to be used in the context of fiber amplifiers and fiber lasers are described herein. Embodiments of optical fibers include a rare-earth doped core into which the signal field is to be amplified. The doped core is surrounded by multiple claddings that guide the pump field to be absorbed by the reactive core material. The first cladding has a depressed refractive index to improve high-order mode bending losses without incurring significant fundamental mode bending losses.

Abstract: Improved method and device for extracting speech from noisy speech signals are described. Noise stripping algorithms carry out signal pre-processing for initial adjustment of spectral density based on the finding of maximum values between current bin and next nav number of bins, followed by identification of background noise occurring during pauses in 0.5 1 sec of speech by inter-comparing neighbouring frames to find cumulative minimum values, followed by modification of the gain vector, and determination of the noise stripped signal by multiplying the input noise-contaminated speech signal by the gain vector. When multiplying the input noise-contaminated speech signal by the gain vector, aliasing distortion is reduced using a process of time domain rotation and truncation performed on the gain vector.